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Revista Española de Medicina Nuclear e Imagen Molecular (English Edition)
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Original article
Quantitative and qualitative evaluation of the interim PET/CT in lymphoma treatment in the prediction of complete metabolic response
Evaluación cuantitativa y cualitativa de la PET/TC a mitad del tratamiento en linfomas en la predicción de respuesta metabólica completa
J.P. Pilkington Wolla,
Corresponding author
patrick_pilkington@yahoo.com

Corresponding author.
, A.M. García Vicentea, M.P. Talavera Rubioa, A.M. Palomar Muñoza, G. Jiménez Londoñoa, A. León Martínb, C. Calle Primoc, A.M. Soriano Castejóna
a Servicio de Medicina Nuclear, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain
b Servicio de Investigación, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain
c Servicio de Hematología, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">PET&#47;CT with 18F-FDG has demonstrated to be a very useful technique in all the phases of the management and follow up of Hodgkin lymphoma &#40;HL&#41; and non-Hodgkin lymphoma &#40;NHL&#41;&#46;<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1&#44;2</span></a> Despite the use of this technique still being under validation&#44; it clearly provides greater aid than what has been obtained with these objectives with conventional methods&#46;</p><p id="par0010" class="elsevierStylePara elsevierViewall">It is very important to know the true extension of the disease since this has a directly influence on treatment planning and determines the prognosis of the patients&#46; In the staging of lymphomas&#44; several studies have demonstrated that PET&#47;CT allows detection of the disease at a lymph node level with greater precision than CT&#46;<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a> This is mainly due to its capacity to detect disease in lesions less than 1<span class="elsevierStyleHsp" style=""></span>cm in size which would probably be classified as negative with conventional techniques&#46; Moreover&#44; PET&#47;CT has a greater sensitivity for the detection of extranodal disease &#40;i&#46;e&#46; the liver&#44; spleen&#44; bone marrow and muscle&#41;&#46; The sensitivity of PET for the detection of nodal and extranodal disease has been described to be 92&#8211;100&#37; and 74&#8211;78&#37;&#44; respectively&#46;<a class="elsevierStyleCrossRefs" href="#bib0020"><span class="elsevierStyleSup">4&#44;5</span></a> This technique therefore allows the staging classification to be closer to reality than that obtained by CT&#44;<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a> with which the detectability is generally 15&#37; lower than that achieved with PET&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">Pretreatment evaluation with PET has led to a change in the stage of lymphoma in approximately 5&#8211;15&#37; of the patients and&#44; thus&#44; a change in treatment strategy in 10&#8211;20&#37; of the patients on comparison with the conventional staging method by CT&#46;<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6&#8211;8</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">Assessment of response at the end of treatment is one of the most usual applications of PET in HL and NHL&#46;<a class="elsevierStyleCrossRefs" href="#bib0045"><span class="elsevierStyleSup">9&#44;10</span></a> The use of PET in this setting has been widely accepted&#46; Indeed&#44; in 2007 the working group of the &#171;International Harmonization Project&#187; &#40;IHP&#41; developed recommendations for the criteria of response to treatment in aggressive malignant lymphomas&#44; recognizing the value of PET in identifying patients without residual disease and including the negativity of PET &#40;complete metabolic response&#41; in the definition of complete remission&#46;<a class="elsevierStyleCrossRefs" href="#bib0045"><span class="elsevierStyleSup">9&#44;10</span></a> This is due to the capacity of PET with 18F-FDG to distinguish between viable lymphoma cells and necrosis or fibrosis in residual masses after treatment&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">These recommendations also suggest the use of visual evaluation for the interpretation of the end of treatment studies while quantitative and semiquantitative methods such as SUV are not as useful for this proposal&#46; Recent studies have confirmed the superiority of these IHP criteria in the end of treatment assessment of both HL and NHL&#46;<a class="elsevierStyleCrossRefs" href="#bib0055"><span class="elsevierStyleSup">11&#44;12</span></a> With respect to interim PET&#47;CT &#40;i-PET&#47;CT&#41;&#44; many studies have supported this technique as a powerful prognostic tool to predict metabolic response at the end of treatment&#44; progression-free survival &#40;PFS&#41; and global survival &#40;GS&#41;&#44; particularly in HL and diffuse large B-cell lymphomas &#40;DLBCL&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> Some studies have even demonstrated that this capacity of prediction of PFS and GS is greater than that of other well-established clinical prognostic parameters such as the &#171;International Prognostic Store&#187; &#40;IPS&#41; for HL and the &#171;International Prognostic Index&#187; &#40;IPI&#41; for DLBCL&#46;<a class="elsevierStyleCrossRefs" href="#bib0070"><span class="elsevierStyleSup">14&#8211;16</span></a> In addition&#44; early&#44; reliable prediction of response to treatment may have a positive influence on the global treatment outcome&#46; That is&#44; if the sensitivity to chemotherapy or immunotherapy can be assessed early during treatment&#44; early changes may also be made in the treatment strategies&#46; In this context&#44; a patient with a positive i-PET&#47;CT could receive a more intensive treatment&#44; which could improve the possibility of achieving complete remission at the end of treatment&#46; On the other hand&#44; a patient with a negative i-PET&#47;CT could benefit from less intensive and&#44; therefore&#44; less toxic treatment to thereby avoid possible&#44; harmful secondary effects&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">It is therefore of great importance to have precise&#44; assessment criteria for i-PET&#47;CT which reflect the power of the prediction of metabolic response at the end of treatment&#44; the PFS&#44; and the GS of this technique&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">To date&#44; different evaluation methods have been used for i-PET&#47;CT&#46; On the one hand we have the qualitative or visual assessment of i-PET&#47;CT which is the simplest and most widely used method for the evaluation of response to treatment&#46; According to this&#44; a 5-point scale was recommended by the &#171;1st International Workshop on Interim PET in Lymphomas&#187;<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> in which different scores have been assigned based on the uptake of the lesions related to a standard reference score &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46; This is currently the qualitative method recommended and most commonly used in clinical trials&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0040" class="elsevierStylePara elsevierViewall">On the other hand&#44; several studies have evaluated the use of quantitative or semiquantitative analysis of i-PET&#47;CT&#46; At present SUV is the semiquantitative method most frequently used since it is not invasive and is easy to calculate&#46;<a class="elsevierStyleCrossRefs" href="#bib0085"><span class="elsevierStyleSup">17&#44;18</span></a> Indeed&#44; some studies have presented evidence suggesting that this could further improve the prognostic value of i-PET&#47;CT&#46;<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">19</span></a> However&#44; the technical aspect of the calculation of the SUV does not have sufficient support and further clinical evidence demonstrating that the SUV is better than visual analysis in the prediction of the outcome of lymphomas is necessary&#46;<a class="elsevierStyleCrossRefs" href="#bib0050"><span class="elsevierStyleSup">10&#44;20</span></a> Furthermore&#44; the best cut off point for the reduction of the SUV between the staging study and mid-treatment remains to be defined&#46;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a></p><p id="par0045" class="elsevierStylePara elsevierViewall">Taking the discrepancy between the use of these methods into account&#44; the main objective of this study was to compare these two methods in the evaluation of i-PET&#47;CT and establish which method provides greater reliability in the prediction of complete metabolic response at the end of treatment&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Materials and methods</span><p id="par0050" class="elsevierStylePara elsevierViewall">A retrospective&#44; longitudinal analysis was made of all the PET&#47;CT with 18F-FDG performed in patients with lymphoma in our department during the period from January 2007 to March 2011&#46; We included all the patients in whom a staging study had been obtained mid-treatment&#44; from the 2nd to the 4th cycle&#44; and at the end of treatment&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">In all the cases the patients had fasted during the 4<span class="elsevierStyleHsp" style=""></span>h prior to the administration of an i&#46;v&#46; dose of 370<span class="elsevierStyleHsp" style=""></span>MBq &#40;10<span class="elsevierStyleHsp" style=""></span>mCi&#41; of <span class="elsevierStyleSup">18</span>F-FDG&#44; with previous glycemia control not greater than 200<span class="elsevierStyleHsp" style=""></span>mg&#47;dl in any case&#46; Thereafter&#44; the patients underwent a period of relative rest of approximately 60<span class="elsevierStyleHsp" style=""></span>min after which we initiated the acquisition of images&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">The study included the base of the cranium to the upper third of the upper limbs&#44; initiating the acquisition with the transmission study with low dose CT &#40;120<span class="elsevierStyleHsp" style=""></span>kV&#44; 80<span class="elsevierStyleHsp" style=""></span>mA&#41; without i&#46;v&#46; contrast followed by a tridimensional emission study &#40;3D&#41; at a time of 3<span class="elsevierStyleHsp" style=""></span>min per field&#46; The PET images were reconstructed using the CT images for the correction of attenuation and after applying the iterative reconstruction algorithm&#46; The images were evaluated independently by at least 2 experts in nuclear medicine&#44; visualizing the PET&#44; CT and fusion images in axial&#44; coronal and sagittal projections&#46; In the case of disagreement&#44; a third specialist was called in&#46;</p><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Interpretation of the images</span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Evaluation of the staging studies &#40;s-PET&#47;CT&#41;</span><p id="par0065" class="elsevierStylePara elsevierViewall">Any increase in metabolic activity in a non-physiological site which could not be explained by an infectious or inflammatory process was classified as pathological&#46; The SUVmax of the lesion with greatest metabolic activity was obtained&#46;</p></span></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Evaluation of the interim PET&#47;CT &#40;i-PET&#47;CT&#41; studies</span><p id="par0070" class="elsevierStylePara elsevierViewall">The i-PET&#47;CT was performed between the 2nd and 4th chemotherapy cycles&#44; closest to the following and furthest from the previous cycle&#46; The images were analyzed using 2 different interpretation criteria&#46; On the one hand&#44; we used qualitative criteria and&#44; on the other hand&#44; a semiquantitative method&#58;<ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">A&#46;</span><p id="par0075" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Qualitative method</span> &#8211; we used the 5-point visual scale recommended by the &#171;1st International Workshop on Interim PET in Lymphoma&#187;<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46; For practical purposes&#44; a value &#8804;3 was considered negative while a value &#8805;4 was considered positive &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41;&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">B&#46;</span><p id="par0080" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Semiquantitative method</span> &#8211; we used the percentage of difference of the SUVmax &#40;&#37;&#916;SUVmax&#41; between the lesion with greatest metabolic activity in the s-PET&#47;CT study and the lesion with greatest metabolic activity in the i-PET&#47;CT&#44; independently of the localization of each &#40;<a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>&#41;&#44; so that&#58;<elsevierMultimedia ident="eq0005"></elsevierMultimedia></p><elsevierMultimedia ident="fig0010"></elsevierMultimedia></li></ul></p><p id="par0085" class="elsevierStylePara elsevierViewall">A study with a &#37;&#916;SUVmax<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>83&#37; &#40;value obtained by ROC analysis&#41; was considered negative while a &#37;&#916;SUVmax<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>83&#37; was deemed positive&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Evaluation of the studies at the end of treatment &#40;et-PET&#47;CT&#41;</span><p id="par0090" class="elsevierStylePara elsevierViewall">All the studies were carried out at least 3 week after the last cycle of chemotherapy&#46; The et-PET&#47;CT was classified according to the IHP recommendations<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a> &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46; These guidelines recommend a purely visual evaluation&#44; using the activity of the mediastinal pool as a background reference to define a PET&#47;CT as positive or negative in residual lesions &#62;2<span class="elsevierStyleHsp" style=""></span>cm in the greatest transverse diameter&#44; independently of the localization&#46; A larger or normal-sized lesion presenting activity over the surrounding background should be considered as positive&#46; The guidelines also include specific criteria to define the positivity of lesions localized at a hepatic&#44; splenic&#44; and bone marrow level&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Analysis of the results</span><p id="par0095" class="elsevierStylePara elsevierViewall">According to the results obtained with the qualitative method in i-PET&#47;CT we calculated the statistical values of sensitivity &#40;<span class="elsevierStyleItalic">S</span>&#41;&#44; specificity &#40;Sp&#41;&#44; positive predictive value &#40;PPV&#41; and negative predictive value &#40;NPV&#41; as well as the ratio of probability &#40;RP&#41; to achieve complete remission in the et-PET&#47;CT&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">The RP measured the likely probability of a concrete result &#40;positive or negative&#41; according to the presence of absence of disease&#46; It is clinically useful and does not depend on prevalence&#44; in contrast to the <span class="elsevierStyleItalic">S</span>&#44; Sp&#44; PPV and NPV thereby allowing its use as an index of comparison between different tests for the same diagnosis&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">For the semiquantitative method we first established the &#37;&#916;SUVmax with the best <span class="elsevierStyleItalic">S</span> and Sp value using ROC curves &#40;<a class="elsevierStyleCrossRef" href="#fig0015">Fig&#46; 3</a>&#41;&#46; Once this cut off point had been determined&#44; we calculated the <span class="elsevierStyleItalic">S</span>&#44; Sp&#44; PPV&#44; NPV and RP to achieve complete metabolic response in the et-PET&#47;CT according to the obtainment of a &#37;&#916;SUVmax<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>the established cut off point&#46;</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><p id="par0110" class="elsevierStylePara elsevierViewall">The <span class="elsevierStyleItalic">&#967;</span><span class="elsevierStyleSup">2</span> method was used to establish possible statistically significant differences between the values obtained by the two methods&#46;</p></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Results</span><p id="par0115" class="elsevierStylePara elsevierViewall">We analyzed the s-PET&#47;CT&#44; i-PET&#47;CT and et-PET&#47;CT of 65 patients &#40;195 studies&#41; with lymphoma&#58; 35 HL and 30 NHL&#46; <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows a descriptive analysis of the study population&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0120" class="elsevierStylePara elsevierViewall">On evaluation with the semiquantitative method&#44; the cut off for the &#37;&#916;SUVmax with the best <span class="elsevierStyleItalic">S</span>&#44; Sp values in the ROC curves was 83&#37; &#40;<a class="elsevierStyleCrossRef" href="#fig0015">Fig&#46; 3</a>&#41;&#46; This means that a &#37;&#916;SUVmax<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>83&#37; between the s-PET&#47;CT and the i-PET&#47;CT predicts complete metabolic response in the et-PET&#47;CT with a <span class="elsevierStyleItalic">S</span>&#44; Sp&#44; PPV and NPV of 80&#44; 67&#44; 83&#46;3 and 60&#46;9&#37;&#44; respectively&#46; The RP for this method was 7&#46;8&#46; This means that it is 7&#46;8 times more probable to obtain complete metabolic response in the et-PET&#47;CT when there is a negative i-PET&#47;CT &#40;&#37;&#916;SUVmax<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>83&#37;&#41; than when this study is positive &#40;&#37;&#916;SUVmax<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>83&#37;&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0125" class="elsevierStylePara elsevierViewall">With respect to the qualitative method&#44; a negative i-PET&#47;CT was found to predict complete metabolic response in the et-PET&#47;CT with a <span class="elsevierStyleItalic">S</span>&#44; Sp&#44; PPV and NPV of 91&#44; 76&#46;2&#44; 88&#46;9 and 80&#37;&#44; respectively&#46; The RP for this method was 32&#46; This means that it is 32 times more probable to obtain complete metabolic response in the et-PET&#47;CT with a negative i-PET&#47;CT &#40;score<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>3 in the 5-point scale&#41; than when this study is positive &#40;score<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>4 in the 5-point scale&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#41;&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">No statistically significant differences were observed between the RP of the semiquantitative and the qualitative methods &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;1942&#41; to predict complete metabolic response in the et-PET&#47;CT&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Discussion</span><p id="par0135" class="elsevierStylePara elsevierViewall">Numerous studies have demonstrated that PET&#47;CT with 18F-FDG at the end of treatment is highly predictive of disease-free survival &#40;DFS&#41; and GS in aggressive HL and NHL with or without residual masses in the CT&#46;<a class="elsevierStyleCrossRefs" href="#bib0055"><span class="elsevierStyleSup">11&#44;12&#44;22&#8211;24</span></a> Thus a negative PET at the end of treatment is highly indicative of a greater DFS while a positive PET indicates a shorter time free of disease&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">On the other hand&#44; during the last years i-PET&#47;CT performed in patients with lymphoma has shown to be a potent prognostic tool for early prediction of patient outcome at the end of treatment&#44; mainly in aggressive HL and NHL&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">25</span></a> The utility of this test is even greater when its prognostic power is used to adapt the treatment of the patients based on mid-treatment response&#44; thereby balancing the risk of over-treatment versus inadequate control of the disease&#46; The viability of this focus has been described in a retrospective study&#46;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">26</span></a> However&#44; to date&#44; different ongoing clinical studies are investigating the true value of adapting treatment based on the results obtained in the i-PET&#47;CT&#46; In a recent metaanalysis&#44;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> the range of <span class="elsevierStyleItalic">S</span> found for the i-PET&#47;CT in HL and DLBCL was from 65 to 100&#37; and 50 to 100&#37;&#44; respectively while the Sp was between 94&#8211;100&#37; and 73&#8211;100&#37;&#44; respectively&#46; In most of the studies included in this meta-analysis the i-PET&#47;CT was determined to be the technique with the greatest prognostic power on comparison with other well established clinical parameters such as the IPS for HL or the IPI for DLBCL&#46;<a class="elsevierStyleCrossRefs" href="#bib0070"><span class="elsevierStyleSup">14&#44;15</span></a> It was also found that the main inconvenience in the literature published on this subject was the lack of uniformity of the criteria used for the interpretation of the i-PET&#47;CT&#44; which was the main reason for the wide ranges in <span class="elsevierStyleItalic">S</span> and Sp&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">With regard to this latter point&#44; the reports published by international work groups on i-PET&#47;CT in lymphomas<a class="elsevierStyleCrossRefs" href="#bib0065"><span class="elsevierStyleSup">13&#44;28&#44;29</span></a> recommend that the interpretation of these studies should be carried out using a 5-point visual scale &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41; which compares the lesions with metabolic activity with the activity of the hepatic parenchyma and&#47;or mediastium &#40;when free of disease&#41;&#46; This new method of evaluation of i-PET&#47;CT is preferred over other methods &#40;qualitative or semiquantitative&#41; for several reasons&#44; of which we highlight the following&#58;<ul class="elsevierStyleList" id="lis0010"><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">-</span><p id="par0150" class="elsevierStylePara elsevierViewall">High rate of concordance between centers&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">30</span></a></p></li><li class="elsevierStyleListItem" id="lsti0020"><span class="elsevierStyleLabel">-</span><p id="par0155" class="elsevierStylePara elsevierViewall">A staging PET is not necessary&#46; This is particularly useful in patients who cannot wait for a staging PET to initiate treatment&#46;</p></li><li class="elsevierStyleListItem" id="lsti0025"><span class="elsevierStyleLabel">-</span><p id="par0160" class="elsevierStylePara elsevierViewall">Very standardized protocols are not required in comparison with the semi or quantitative methods to obtain SUVmax variables which are compared among the different studies&#46;</p></li><li class="elsevierStyleListItem" id="lsti0030"><span class="elsevierStyleLabel">-</span><p id="par0165" class="elsevierStylePara elsevierViewall">The scale may be adapted depending on the criteria of positivity used&#46; This is particularly useful in clinical trials&#59; for example&#44; if the intention is to potentiate the treatment&#44; it is ideal to have a high PPV and for this we could use the liver pool as a reference &#40;4 points in the visual scale&#41;&#46; On the other hand&#44; if the objective is to reduce the potency of the treatment&#44; we need a high NPV&#44; and for this we could use the mediastinal pool as a reference &#40;3 points in the visual scale&#41;&#46;</p></li></ul></p><p id="par0170" class="elsevierStylePara elsevierViewall">Nonetheless&#44; several studies have compared this method and a widely used semiquantitative method &#40;&#37;&#916;SUVmax&#41; in patients with DLBCL in the evaluation of the i-PET&#47;CT&#44;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">31</span></a> with results which pointed to the use of the latter as the best method for the interpretation of these studies always aimed at predicting complete metabolic response at the end of treatment&#44; PFS and GS&#46;</p><p id="par0175" class="elsevierStylePara elsevierViewall">In our study we obtained a global <span class="elsevierStyleItalic">S</span>&#44; Sp&#44; PP and NPV of 80&#44; 67&#44; 83&#46;3 and 60&#46;9&#37;&#44; respectively with the use of the semiquantitative method&#46; These results are comparable to those obtained in other studies except&#44; perhaps&#44; in the low Sp&#46; This may be explained&#44; in part&#44; by the cut off point chosen to consider an i-PET&#47;CT as positive or negative&#46; Using analysis with ROC curves we decided that a &#37;&#916;SUVmax<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>83&#37; was a good cut off since it provides a good relationship between the <span class="elsevierStyleItalic">S</span> and the Sp &#40;79&#46;5 and 66&#46;7&#37;&#41;&#46; A reduction in the cut off would have further reduced the Sp and obviously the <span class="elsevierStyleItalic">S</span> would have improved &#40;<a class="elsevierStyleCrossRef" href="#fig0015">Fig&#46; 3</a>&#41;&#46;</p><p id="par0180" class="elsevierStylePara elsevierViewall">Other studies<a class="elsevierStyleCrossRefs" href="#bib0095"><span class="elsevierStyleSup">19&#44;31&#44;32</span></a> have obtained other cut offs using ROC curves&#46; In one of these studies&#44;<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">19</span></a> a &#37;&#916;SUVmax<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>65&#46;7&#37; between the baseline and interim treatment studies &#40;2 cycles&#41; was established as the best cut off&#46; With this value these authors obtained a precision of 76&#46;1&#37; to predict the DFS&#46; The estimation of this DFS at 2 years was 21&#37; for patients with a &#37;&#916;SUVmax<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>65&#46;7&#37;&#44; compared with 79&#37; in patients with a &#37;&#916;SUVmax<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>65&#46;7&#37;&#46; With visual analysis the i-PET&#47;CT had a precision of 65&#46;2&#37; to predict the DFS&#46; On the other hand&#44; visual evaluation obtained a very similar NPV &#40;75&#37;&#41; to that obtained by the analysis based on the SUV &#40;74&#46;1&#37;&#41;&#46; However&#44; the PPV of the visual analysis &#40;50&#37;&#41; was somewhat lower to that of the semiquantitative analysis &#40;81&#46;3&#37;&#41;&#46; These results&#44; however&#44; are unique to this study since&#44; in another study&#44; the same author found that the SUV and the visual analysis had a very similar prediction of the DFS when used after the 4th cycle of treatment&#46;<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a></p><p id="par0185" class="elsevierStylePara elsevierViewall">Our <span class="elsevierStyleItalic">S</span>&#44; Sp&#44; PPV and NPV were 91&#44; 76&#46;2&#44; 88&#46;9 and 80&#37;&#44; respectively using the visual method for the assessment of i-PET&#47;CT&#46; These results are better than those obtained by the previously cited study&#44; albeit very similar to those obtained in other studies and also superior to those obtained by the semiquantitative method in our study&#46; This indirectly supports the use of this method in the evaluation of response mid-treatment when the objective is to predict metabolic response at the end of treatment&#46;</p><p id="par0190" class="elsevierStylePara elsevierViewall">This affirmation is supported by other similar observational studies which included a greater casuistic of patients with aggressive NHL&#46; These studies suggest that i-PET&#47;CT evaluated visually may identify response early during chemotherapy&#44; and that PET may predict the outcome of these patients&#46;<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">16&#44;33&#44;34</span></a> These studies also found a statistically significant difference in the PFS and GS between the groups of patients with a positive i-PET&#47;CT and a negative i-PET&#47;CT &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46; In comparison with our study the results of 2 of these studies<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">16&#44;34</span></a> were obtained using visual criteria of binary response &#40;positive&#47;negative&#41; in contrast to the 5-point visual scale which we used which is considered superior to the previous criteria&#46; The third study also included the criteria of minimum residual disease &#40;MRD&#41;&#46; The MRD includes all the cases which are at the limit or are difficult to classify due to a low level of residual uptake &#40;just above the surrounding background&#41; where disease had previously been present&#46; This problem disappears with the use of the 5-point scale&#46; In this last study&#44; the PFS at 5-years was 16&#46;2&#44; 59&#46;3 and 88&#46;8&#37; for positive i-PET&#47;CT&#44; MRD&#44; and negative i-PET&#47;CT&#44; respectively&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a></p><p id="par0195" class="elsevierStylePara elsevierViewall">Likewise&#44; a retrospective analysis of 88 patients with HL studied after having received 2 or 3 cycles of chemotherapy with the ABVD scheme found a statistically significant difference in the PFS at 5 years between the group with a positive &#40;39&#37;&#41; and negative &#40;92&#37;&#41; i-PET&#47;CT&#46;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">35</span></a> These results were posteriorly confirmed in prospective studies carried out by Hutchings et al&#46;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">36</span></a>&#44; Zinzani et al&#46;<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">37</span></a>&#44; and Gallamini et al&#46;<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">38</span></a>&#46; In these 3 studies&#44; almost all the patients &#40;94&#8211;100&#37;&#41; with a positive i-PET&#47;CT had refractory disease or relapse within the first 2 years&#44; while those who were i-PET&#47;CT negative showed complete remission&#44; with very few relapse &#40;&#60;6&#37;&#41;&#46;</p><p id="par0200" class="elsevierStylePara elsevierViewall">We also calculated the RP for each of the methods&#46; As mentioned previously&#44; the RP measures the probability of a concrete result &#40;complete metabolic response at the end of treatment&#41; according to the presence or absence of disease &#40;positive or negative study mid-treatment&#41;&#46; It is clinically useful and does not depend on the prevalence in contrast to the <span class="elsevierStyleItalic">S</span>&#44; Sp&#44; PPC and NPV&#44; thereby allowing its use as an index of comparison between different tests for the same diagnosis&#46; In our study we obtained an RP of 7&#46;8 for the semiquantitative method&#46; This means that it is 7&#46;8 times more probable to obtain complete metabolic response in the et-PET&#47;CT with a negative &#40;&#37;&#916;SUVmax<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>83&#37;&#41; than a positive &#40;&#37;&#916;SUVmax<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>83&#37;&#41; i-PET&#47;CT&#46; The RP for the visual method was 32&#46; This means that it is 32 times more probable to obtain complete metabolic response in the et-PET&#47;CT when the i-PET&#47;CT is negative &#40;score<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>3 in the 5-point scale&#41; than when this is positive &#40;score<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>4 in the 5-point scale&#41;&#46; Despite these clear differences between the 2 methods in favor of the visual scale&#44; we did not obtain statistical significance between the RP of the two methods &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;1942&#41;&#46;</p><p id="par0205" class="elsevierStylePara elsevierViewall">On the other hand&#44; it should be taken into account that HL and NHL each have very different mechanisms of response&#46; This hypothesis is based on the assumption that the cellular architecture and physiopathology of the neoplastic tissue is different in these 2 types of lymphoma&#46; In HL&#44; the neoplastic cells of Reed&#8211;Stemberg &#40;RS&#41; represent less than 1&#37; of the total cellularity of the neoplastic tissue while in NHL these cells contribute more than 90&#37; of the total of the cellular population&#46; In HL&#44; the non-neoplastic lymphomononuclear cells produce a network of cytokines which protect the RS cells in addition to being potentiators of the detector power of PET&#46; This non-neoplastic cellular compartment is disactivated very early after treatment which is translated into what we know as &#171;complete metabolic response&#187; in the PET images&#46; On the other hand&#44; in DLBCL a progressive fraction of neoplastic cells is destroyed by chemotherapy which is predictive of the final response to chemotherapy&#46; This means that in the PET images we see a progressive reduction in metabolic activity&#44; with the extent of this reduction being predictive of the final outcome&#46; For these reasons&#44; visual evaluation may be better to determine response in HL while semiquantitative assessment may be more appropriate for DLBCL&#46; These results have been presented in only one study published by Meignan et al&#46;<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a>&#44; thereby making further studies necessary to confirm these results&#46;</p><p id="par0210" class="elsevierStylePara elsevierViewall">The results of our study reflect the potential prognostic power of i-PET&#47;CT considering the obtainment of complete metabolic response in the et-PET&#47;CT as the final objective&#46; This may create a bias in our results since some cases of complete metabolic response may not coincide with the clinical response&#46; However&#44; as mentioned previously&#44; the large NPV of the et-PET&#47;CT was included as a criterion of complete remission&#46;<a class="elsevierStyleCrossRefs" href="#bib0045"><span class="elsevierStyleSup">9&#44;10</span></a></p><p id="par0215" class="elsevierStylePara elsevierViewall">Finally&#44; there may be another probable bias on having performed the analysis of the results considering the patients with HL and NHL as a single group when the current trend is to divide these patients into 2 groups since&#44; as mentioned above&#44; the response to chemotherapy differs in these 2 neoplasms&#46; Nonetheless&#44; the results obtained are very similar to those published by other series in which HL and NHL were studied independently&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Conclusion</span><p id="par0220" class="elsevierStylePara elsevierViewall">In the present study we can state that the visual method for evaluation of i-PET&#47;CT with the aim of predicting complete metabolic response in the et-PET&#47;CT has a higher <span class="elsevierStyleItalic">S</span>&#44; SP&#44; PPV and NPV than that obtained by the semiquantitative method used&#46; Nonetheless&#44; no statistically significant differences were found in the RP between the two methods and we cannot&#44; therefore&#44; affirm that the visual method is superior to the semiquantitative method used for this objective&#46;</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Conflict of interests</span><p id="par0225" class="elsevierStylePara elsevierViewall">The authors declare no conflict of interests&#46;</p></span></span>"
    "textoCompletoSecciones" => array:1 [
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        0 => array:2 [
          "identificador" => "xres119599"
          "titulo" => array:5 [
            0 => "Abstract"
            1 => "Objective"
            2 => "Materials and methods"
            3 => "Results"
            4 => "Conclusion"
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        1 => array:2 [
          "identificador" => "xpalclavsec106879"
          "titulo" => "Keywords"
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        2 => array:2 [
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            0 => "Resumen"
            1 => "Objetivo"
            2 => "Material y m&#233;todos"
            3 => "Resultados"
            4 => "Conclusi&#243;n"
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          "identificador" => "xpalclavsec106880"
          "titulo" => "Palabras clave"
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        4 => array:2 [
          "identificador" => "sec0005"
          "titulo" => "Introduction"
        ]
        5 => array:3 [
          "identificador" => "sec0010"
          "titulo" => "Materials and methods"
          "secciones" => array:4 [
            0 => array:3 [
              "identificador" => "sec0015"
              "titulo" => "Interpretation of the images"
              "secciones" => array:1 [
                0 => array:2 [
                  "identificador" => "sec0020"
                  "titulo" => "Evaluation of the staging studies &#40;s-PET&#47;CT&#41;"
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              ]
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            1 => array:2 [
              "identificador" => "sec0025"
              "titulo" => "Evaluation of the interim PET&#47;CT &#40;i-PET&#47;CT&#41; studies"
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            2 => array:2 [
              "identificador" => "sec0030"
              "titulo" => "Evaluation of the studies at the end of treatment &#40;et-PET&#47;CT&#41;"
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              "identificador" => "sec0035"
              "titulo" => "Analysis of the results"
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          "titulo" => "Results"
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          "identificador" => "sec0045"
          "titulo" => "Discussion"
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          "identificador" => "sec0050"
          "titulo" => "Conclusion"
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          "identificador" => "sec0055"
          "titulo" => "Conflict of interests"
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          "titulo" => "References"
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    "pdfFichero" => "main.pdf"
    "tienePdf" => true
    "fechaRecibido" => "2012-01-26"
    "fechaAceptado" => "2012-03-09"
    "PalabrasClave" => array:2 [
      "en" => array:1 [
        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Keywords"
          "identificador" => "xpalclavsec106879"
          "palabras" => array:4 [
            0 => "PET&#47;CT"
            1 => "Lymphoma"
            2 => "Interim PET"
            3 => "Early response"
          ]
        ]
      ]
      "es" => array:1 [
        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Palabras clave"
          "identificador" => "xpalclavsec106880"
          "palabras" => array:3 [
            0 => "PET&#47;TC"
            1 => "Linfoma"
            2 => "Respuesta precoz"
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    "resumen" => array:2 [
      "en" => array:2 [
        "titulo" => "Abstract"
        "resumen" => "<span class="elsevierStyleSectionTitle">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">To compare two different methods for the interpretation of interim PET&#47;CT &#40;PET&#47;CT-i&#41; in lymphomas&#44; and to establish which one best predicts a complete metabolic response &#40;CMR&#41; in the PET&#47;CT study at the end of treatment &#40;PET&#47;CT-et&#41;&#46;</p> <span class="elsevierStyleSectionTitle">Materials and methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Retrospective longitudinal analysis of the PET&#47;CT studies for staging &#40;PET&#47;CT-s&#41;&#44; PET&#47;CT-i and PET&#47;CT-et of 65 patients&#44; 35 Hodgkin&#39;s lymphoma &#40;HL&#41; and 30 non-HL was performed&#46; The PET&#47;CT-i was performed between the second and fourth chemotherapy cycle&#46; It was interpreted using two different criteria&#58; qualitative criteria &#40;5 point visual scale&#41; and semiquantitative criteria &#40;percentage difference between the lesion with more SUVmax in the PET&#47;CT-s and PET&#47;CT-i&#41;&#46; We analyzed the likelihood of obtaining a CMR in the PET&#47;CT-et according to the results obtained on the PET&#47;CT-i with these two criteria&#46;</p> <span class="elsevierStyleSectionTitle">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">We obtained sensitivity &#40;<span class="elsevierStyleItalic">S</span>&#41;&#44; specificity &#40;Sp&#41;&#44; positive predictive values &#40;PPV&#41;&#44; negative predictive values &#40;NPV&#41; and likelihood ratio &#40;LR&#41; for the qualitative&#47;semiquantitative method of 91&#37;&#47;80&#37;&#44; 76&#46;2&#37;&#47;67&#37;&#44; 88&#46;9&#37;&#47;83&#46;3&#37;&#44; 80&#37;&#47;60&#46;9&#37; and 32&#37;&#47;7&#46;8&#37;&#44; respectively&#44; to predict a CMR in the PET&#47;CT-et&#46; There were no statistically significant differences between the LR of both methods &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;1942&#41;&#46;</p> <span class="elsevierStyleSectionTitle">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">We found clear differences in <span class="elsevierStyleItalic">S</span>&#44; Sp&#44; PPV and NPV between both interpretation criteria for the PET&#47;CT-i to predict a CMR in the PET&#47;CT-et&#46; Nevertheless&#44; we cannot confirm the superiority of the qualitative method over the semiqualitative method for this purpose as no statistically significance differences were found in their LR in our study&#46;</p>"
      ]
      "es" => array:2 [
        "titulo" => "Resumen"
        "resumen" => "<span class="elsevierStyleSectionTitle">Objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Realizar una comparaci&#243;n entre 2 m&#233;todos para la valoraci&#243;n de la PET&#47;TC a la mitad del tratamiento &#40;PET&#47;TC-mt&#41; en linfomas&#44; y establecer cu&#225;l de ellos predice con mayor precisi&#243;n una respuesta metab&#243;lica completa &#40;RMC&#41; en la PET&#47;TC al final del tratamiento &#40;PET&#47;TC-ft&#41;&#46;</p> <span class="elsevierStyleSectionTitle">Material y m&#233;todos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">An&#225;lisis retrospectivo longitudinal de los estudios PET&#47;TC de estadificaci&#243;n &#40;PET&#47;TC-e&#41;&#44; PET&#47;TC-mt y PET&#47;TC-ft de 65 pacientes con linfoma&#44; 35 linfoma de Hodgkin y 30 linfoma no Hodgkin&#46; La PET&#47;TC-mt fue realizada entre el segundo y cuarto ciclo de quimioterapia y se valor&#243; utilizando 2 criterios de interpretaci&#243;n&#58; criterio cualitativo &#40;escala visual de 5 puntos&#41;&#44; criterio semicuantitativo &#40;porcentaje de diferencia entre el SUVmax de la lesi&#243;n con mayor actividad metab&#243;lica en la PET&#47;TC-e y la PET&#47;TC-mt&#41;&#46; Analizamos la probabilidad de obtener una RMC en la PET&#47;TC-ft seg&#250;n la clasificaci&#243;n de la PET&#47;TC-mt con estos 2 criterios&#46;</p> <span class="elsevierStyleSectionTitle">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Obtuvimos valores de sensibilidad &#40;S&#41;&#44; especificidad &#40;E&#41;&#44; valor predictivo positivo &#40;VPP&#41;&#44; valor predictivo negativo &#40;VPN&#41; y raz&#243;n de probabilidad &#40;RP&#41; para el m&#233;todo cualitativo&#47;semicuantitativo de 91&#47;80&#37;&#44; 76&#44;2&#47;67&#37;&#44; 88&#44;9&#47;83&#44;3&#37;&#44; 80&#47;60&#44;9&#37; y 32&#47;7&#44;8&#37; respectivamente&#44; para predecir un RMC en la PET&#47;TC-ft&#46;</p><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">No encontramos diferencias estad&#237;sticamente significativas entre la RP del an&#225;lisis cualitativo y semicuantitativo &#40;p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;1942&#41;&#46;</p> <span class="elsevierStyleSectionTitle">Conclusi&#243;n</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Encontramos claras diferencias en la S&#44; E&#44; VPP y VPN entre ambos m&#233;todos de valoraci&#243;n de la PET&#47;TC-mt para predecir una RMC en la PET&#47;TC-ft&#46; Sin embargo&#44; al no encontrar diferencias estad&#237;sticamente significativas en la RP&#44; no podemos afirmar que el m&#233;todo cualitativo sea superior al semicuantitativo para este fin&#46;</p>"
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        "etiqueta" => "&#9734;"
        "nota" => "<p class="elsevierStyleNotepara">Please cite this article as&#58; Pilkington Woll JP&#44; et al&#46; Evaluaci&#243;n cuantitativa y cualitativa de la PET&#47;TC a mitad del tratamiento en linfomas en la predicci&#243;n de respuesta metab&#243;lica completa&#46; Rev Esp Med Nucl Imagen Mol&#46; 2013&#59;32&#58;70&#8211;6&#46;</p>"
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          "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">&#40;A&#41; s-i-et PET&#47;CT studies in a patient with DLBCL&#46; The esophageal lesion in the i-PET&#47;CT was classified as 4 in the 5-point scale and was considered as a positive study mid-treatment&#46; The et-PET&#47;CT was classified as partial response&#46; &#40;B&#41; s-i-et-PET&#47;CT studies of a second patient with DLBCL&#46; The i-PET&#47;CT shows residual uptake at the level of the pelvic floor&#44; being classified as 2 in the 5-point scale and considered as negative mid-treatment&#46; The et-PET&#47;CT was classified as complete metabolic response&#46;</p>"
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          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">&#40;A&#41; s-i-et-PET&#47;CT studies in a patient with DLBCL&#46; The lesion with the greatest metabolic activity in the s-PET&#47;CT had a SUVmax of 44&#46; The lesion with the greatest metabolic activity in the i-PET&#47;CT had a SUVmax of 4&#46;6&#46; The &#37;&#916;SUVmax between these 2 lesions was of 89&#37; and was therefore considered as a negative study mid-treatment&#46; The et-PET&#47;CT was considered as complete metabolic response&#46; &#40;B&#41; s-i-et-PET&#47;CT studies in a patient with HL&#46; The lesion with the greatest metabolic activity in the s-PET&#47;CT had a SUVmax of 12&#46;1&#46; The lesion with the greatest metabolic activity in the i-PET&#47;CT had a SUVmax of 10&#46; The &#37;&#916;SUVmax between these 2 lesions was of 17&#37;&#44; and was&#44; thus&#44; considered a positive study mid-treatment&#46; The et-PET&#47;CT was considered as metabolic stability&#46;</p>"
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          "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">ROC curves for the semiquantitative method&#46; <span class="elsevierStyleItalic">X</span> expresses the cut off point chosen above which i-PET&#47;CT was considered negative&#46; Beside this&#44; the table shows the values of <span class="elsevierStyleItalic">S</span> and Sp for this cut off&#46;</p>"
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                  \t\t\t\t" class=""><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t">Similar or greater pathological activity than that of the mediastinal pool&#46;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t">Pathological activity of intermediate intensity between the mediastinal and hepatic pool&#46;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Moderately increased pathological activity in relation to that of the hepatic pool&#46;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Markedly increased pathological activity in relation to that of the hepatic pool&#46;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab207808.png"
              ]
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        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Five-point scale for the visual evaluation of i-PET&#47;CT&#46;</p>"
        ]
      ]
      4 => array:7 [
        "identificador" => "tbl0010"
        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:1 [
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Response&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Definition&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Complete metabolic response&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Complete resolution of the lesions with avidity for FDG&#44; with a negative result in the bone marrow biopsy&#46;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Partial metabolic response&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Reduction &#62;50&#37; in the sum or product of the lesion diameters&#44; with persistence of residual activity in at least one localization&#46;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Progression&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Any new lesion with avidity for FDG&#59; increase &#8805;50&#37; in the sum or product of the previously known lesions&#59; new or recurrent bone marrow involvement&#46;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Stable disease&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Without complete or partial remission or progression&#46;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
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              ]
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        ]
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          "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Criteria of the IHP<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a> for the evaluation of et-PET&#47;CT&#46;</p>"
        ]
      ]
      5 => array:7 [
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        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:2 [
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Number &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Mean&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Range&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Gender</span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Men&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">37 &#40;56&#46;9&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Women&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28 &#40;43&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Age</span> &#40;<span class="elsevierStyleItalic">years</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">44&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16&#8211;86&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Lymphoma</span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>HL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">35 &#40;53&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>NHL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30 &#40;46&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>High grade&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23 &#40;76&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Low grade&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7 &#40;23&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Stage</span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>i&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;12&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>ii&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22 &#40;33&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Iii&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12 &#40;17&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>iv&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23 &#40;35&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Time since last study cycle and i-PET&#47;CT</span> &#40;<span class="elsevierStyleItalic">days</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">18&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">15&#8211;45&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">SUVmax in s-PET&#47;CT</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">18&#46;6&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">3&#46;8&#8211;44&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">SUVmax in i-PET&#47;CT</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2&#46;7&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;7&#8211;11&#46;9&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">&#37;&#916;SUVmax s-PET&#47;CT vs&#46; i-PET&#47;CT</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">83&#46;8&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Glycemia</span><a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">&#42;</span></a> &#40;<span class="elsevierStyleItalic">mg</span>&#47;<span class="elsevierStyleItalic">dl</span>&#41;</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>s-PET&#47;CT&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">93&#46;1&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">64&#8211;197&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>PET&#47;CT&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">96&#46;8&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">67&#8211;184&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>PET&#47;CT&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">60&#8211;180&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">RP&nbsp;\t\t\t\t\t\t\n
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                    0 => array:2 [
                      "titulo" => "Clinical utility of PET&#47;CT in lymphoma"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "C&#46;G&#46; Cronin"
                            1 => "R&#46; Swords"
                            2 => "M&#46;T&#46; Truong"
                            3 => "C&#46; Viswanathan"
                            4 => "E&#46; Rohren"
                            5 => "F&#46;J&#46; Giles"
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                    0 => array:2 [
                      "doi" => "10.2214/AJR.09.2637"
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                        "tituloSerie" => "AJR Am J Roentgenol"
                        "fecha" => "2010"
                        "volumen" => "194"
                        "paginaInicial" => "W91"
                        "paginaFinal" => "W103"
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                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/20028897"
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                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Role of functional imaging in the management of lymphoma"
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                          "autores" => array:1 [
                            0 => "B&#46;D&#46; Cheson"
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                    0 => array:2 [
                      "doi" => "10.1200/JCO.2010.32.5225"
                      "Revista" => array:6 [
                        "tituloSerie" => "J Clin Oncol"
                        "fecha" => "2011"
                        "volumen" => "29"
                        "paginaInicial" => "1844"
                        "paginaFinal" => "1854"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21482982"
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              "etiqueta" => "3"
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                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Direct comparison of FDG PET and CT findings in patients with lymphoma&#58; initial experience"
                      "autores" => array:1 [
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                          "etal" => false
                          "autores" => array:5 [
                            0 => "M&#46; Tatsumi"
                            1 => "C&#46; Cohade"
                            2 => "Y&#46; Nakamoto"
                            3 => "E&#46;K&#46; Fishman"
                            4 => "R&#46;L&#46; Wahl"
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                    0 => array:2 [
                      "doi" => "10.1148/radiol.2373040555"
                      "Revista" => array:6 [
                        "tituloSerie" => "Radiology"
                        "fecha" => "2005"
                        "volumen" => "237"
                        "paginaInicial" => "1038"
                        "paginaFinal" => "1045"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/16304117"
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                      "titulo" => "Clinical impact of whole body FDG-PET on the staging and therapeutic decision making for malignant lymphoma"
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Article information
ISSN: 22538089
Original language: English
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es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos