Comparative Evaluation of Oculometric Variables in Graves’ Ophthalmopathy

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D’Amico, Tânia Rubia Flores Rocha, Lisete Ribeiro Teixeira" "autores" => array:6 [ 0 => array:2 [ "nombre" => "Marcelo Alexandre Costa" "apellidos" => "Vaz" ] 1 => array:2 [ "nombre" => "Francisco Suso" "apellidos" => "Vargas" ] 2 => array:2 [ "nombre" => "Felipe Costa" "apellidos" => "de Andrade Marinho" ] 3 => array:2 [ "nombre" => "Élbio Antonio" "apellidos" => "D’Amico" ] 4 => array:2 [ "nombre" => "Tânia Rubia Flores" "apellidos" => "Rocha" ] 5 => array:2 [ "nombre" => "Lisete Ribeiro" "apellidos" => "Teixeira" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1807593222025595?idApp=UINPBA00004N" "url" => "/18075932/0000006400000009/v1_202212060758/S1807593222025595/v1_202212060758/en/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S1807593222025571" "issn" => "18075932" "doi" => "10.1590/S1807-59322009000900008" "estado" => "S300" "fechaPublicacion" => "2009-09-01" "aid" => "20222557" "copyright" => "CLINICS" 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Botucatu/SP, Brazil" "etiqueta" => "I" "identificador" => "afI-cln64_9p885" ] 1 => array:3 [ "entidad" => "Internal Medicine Department, University of Marília - Marília/SP, Brazil" "etiqueta" => "II" "identificador" => "afII-cln64_9p885" ] 2 => array:3 [ "entidad" => "Ophthalmology Department, Botucatu Medical School, São Paulo State University (UNESP) - Botucatu/SP, Brazil., Tel: 55 14 3811.6213" "etiqueta" => "III" "identificador" => "afIII-cln64_9p885" ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "f2-cln64_9p885" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 504 "Ancho" => 976 "Tamanyo" => 48735 ] ] "descripcion" => array:1 [ "en" => "Comparison of eye measures between GO and non-GO patients adjusted to iris diameter (mean ± standard deviation)" ] ] ] "textoCompleto" => "INTRODUCTIONGraves’ ophthalmopathy (GO), or thyroid ophthalmopathy, is an autoimmune condition that primarily affects extraocular muscles and occurs in more than 90% of patients with Graves’ disease. Despite this prevalence, just 3 to 4% of these patients evolve to visual damage.<a class="elsevierStyleCrossRef" href="#bib1">1</a>–<a class="elsevierStyleCrossRef" href="#bib3">3</a>This ophthalmopathy is currently recognized as the most common cause of proptosis in adults, causing distress due to functional impairment and a cosmetically unacceptable appearance. In addition, ocular pain, diplopia, compressive optic neuropathy, and exposure keratopathy can also occur.<a class="elsevierStyleCrossRefs" href="#bib2">2,4</a>The physiopathology seems to be an autoimmune reaction against orbital fibroblasts. The immune response targets extraocular muscles, orbital fat and the lacrimal gland. Stimulation of orbital fibroblasts in these tissues causes the production of hyaluronic acid, which increases the osmotic load of the tissues and results in passive swelling.<a class="elsevierStyleCrossRef" href="#bib1">1</a>Despite its frequency and the ease of diagnosis,<a class="elsevierStyleCrossRef" href="#bib5">5</a> treatments are currently unsatisfactory. GO is usually estimated by the severity of clinical symptoms, orbital ultrasonography, computed tomography scanning, magnetic resonance imaging, or proptometry.<a class="elsevierStyleCrossRef" href="#bib4">4</a>–<a class="elsevierStyleCrossRef" href="#bib8">8</a> Few studies have evaluated oculometric changes in GO, and there is some difficulty in estimating slight clinical improvements in clinical or experimental trials. This difficulty is mainly caused by the low sensitivity, low reproducibility, and high costs of each method for GO estimation.<a class="elsevierStyleCrossRef" href="#bib9">9</a>–<a class="elsevierStyleCrossRef" href="#bib11">11</a>Because proptosis causes clinically perceived distortions in orbital architecture, digital photographs can also be used to detect and quantify these changes in ocular measurements.Digital photography is a bidimensional modality of image recording where the complexity of light is represented as a pixel matrix of fixed and known location values and color intensity.<a class="elsevierStyleCrossRef" href="#bib12">12</a>We propose the use of simple and non-invasive digital photography and digital image analysis to estimate oculometric parameters of GO.SUBJECTS AND METHODSA total of 24 eyes (12 volunteers) without clinical and laboratorial evidence of thyroid disease or GO and 30 eyes (15 patients) with GO were photographed.Cases were selected among current Graves’ disease patients from Botucatu Medical School, Sao Paulo State University. Normal controls were chosen from the hospital healthcare staff and were paired by age.GO was diagnosed after clinical evaluation. Inclusion criteria were: moderate and severe bilateral ocular involvement (class 2, grade c; class 3, grades a–c; class 4, grades a–c; class 6, grade a), according to the “NO SPECS” classification.<a class="elsevierStyleCrossRef" href="#bib7">7</a> Soft-tissue involvement and eye disease activity were defined according to a Clinical Activity Score (CAS) of three or more.<a class="elsevierStyleCrossRefs" href="#bib6">6,8</a>Exclusion criteria were: self-referred Asian or African-American ethnic group, use of contact lenses, and history of orbital tumors, trauma or scars.Digital photographs were taken at a standardized distance, framing the face centrally, with the gaze lasting a few seconds, using a digital camera (Sony Cybershot DSC P32, f=1/2.8, 1632×1224 pixels of resolution, RGB 24 bits, ISO 100). Images were then saved as JPEG files. Digital photographs were taken at a 60-cm distance from the patients, by the same photographer and in the same room. The camera was positioned at eye-height, under the same artificial fluorescent lighting.The images were analyzed in ImageJ 1.41v software. Oculometric variables (<a class="elsevierStyleCrossRef" href="#f1-cln64_9p885">Figure 1</a>), such as MAR (mediopupilar aperture), PF (horizontal palpebral fissure), MH (medial aperture height, tangential to iris), LH (lateral aperture height, tangential to iris), RL (distance of iris edge to the lateral boundary of palpebral fissure), and HIP (distance from the highest point of iris to the lateral limit of the palpebral fissure), were calculated according to the size in pixels of each structure. The lengths were expressed according to individual horizontal iris diameter (DI).<a class="elsevierStyleCrossRefs" href="#bib13">13,14</a> Secondary variables were also calculated: lateral-medial aperture ratio (L/M) and product of medial aperture and palpebral fissure (MAxPF). The author who analyzed the pictures was not aware of the match between eyes and study groups, although there was clear visual evidence of GO in every patient with the disease.<elsevierMultimedia ident="f1-cln64_9p885"></elsevierMultimedia>Proptosis of each eye was also assessed by proptometer (Exophthalmometer of Marco; Marco Ophthalmic Co, EUA) and measured in millimeters (mm).Oculometric parameters were compared between the groups and then correlated to proptometer measures.The normality of the measured variables was assessed by the Shapiro-Wilk test. Central tendency measures were expressed as mean and median, while dispersion measures were standard deviation (SD), variance, interquartile range (IQR). Correlation measures were estimated by Pearsons’ correlation test after best-fit curve adjustment. Between-sample comparisons were done by Student’s t-test or Mann-Whitney test (if indicated). Comparisons between methods were performed by paired Student’s t-test. The statistical analysis was performed using Bioestat 5.0 software, and two-tailed p-values less than 0.05 were considered as significant.<a class="elsevierStyleCrossRef" href="#bib15">15</a>Sample size was evaluated after a pre-test comprising 24 GO and 30 unaffected eyes, considering comparison of oculometric means with the goal of reaching a minimum difference of 20%, according to a power of 0.85 and bilateral alpha significance level of 0.01.This work was approved by the Unesp ethical committee for human research (process 1179/2003).RESULTSBaseline epidemiologic data from two groups showed no statistical differences with regard to gender, age and thyroid hormonal parameters (free T4 and TSH) because GO patients were under adequate treatment (<a class="elsevierStyleCrossRef" href="#t1-cln64_9p885">Table 1</a>). Thyroid autoantibodies were detected only in GO patients. The mean (± standard deviation) proptometer measurements were 21.9±1.7 mm and 16.8±1.7 mm in GO and volunteers, respectively (p<0.01).<elsevierMultimedia ident="t1-cln64_9p885"></elsevierMultimedia>Right and left eyes were correlated with regard to proptometer measures in both groups, with a Pearson’s R=0.81 and 0.93 for the GO and control groups, respectively (p<0.01).All oculometric variables estimated showed significant differences between the groups, but MAR, LH, RL, HIP and MAxPF disclosed the greatest discrepancies (<a class="elsevierStyleCrossRef" href="#f2-cln64_9p885">Figure 2</a>).<elsevierMultimedia ident="f2-cln64_9p885"></elsevierMultimedia>Proptometer measures showed slight but significant logarithmic correlation to RL and HIP (R=0.33 and 0.35, p<0.05). These variables estimate lateral asymmetric eye displacement.There was no difference in the frequencies of inferior “scleral show” between the groups, nor was this parameter correlated to proptometry (p>0.1).DISCUSSIONComputational image editors can display and analyze digital images, and digital image pixels can be quantified and measured. These properties allow the use of digital image analysis systems to estimate length, morphology, color intensity and texture in several fields of science.<a class="elsevierStyleCrossRefs" href="#bib16">16,17</a>GO promotes severe alterations in the entire orbital structure and often requires assessment using invasive and expensive techniques (e.g., computerized tomography). On the other hand, digital photography can only estimate external ocular modifications. Despite this limitation, this study discloses several differences between controls and GO patients that can be observed with digital photography. Therefore, noninvasive standardized digital photographs allow reliable ocular documentation and clinical assessment in GO, with regard to orbital changes. The effective measurement of oculometric parameters could lead to an objective estimation of the effects of therapeutic interventions.<a class="elsevierStyleCrossRef" href="#bib11">11</a>, <a class="elsevierStyleCrossRef" href="#bib18">18</a>In this study, we evaluated oculometric variables that can quantify abnormalities in GO patients through the use of digital standardized photographs. Despite individualities of ocular involvement, proptosis modifies the architecture of the whole eye, and the outer projection can be assessed by digital measures, especially lateral variables such as LH, RL, HIP and MAxPF.General oculometric measures revealed drastic differences between normal and GO eyes as assessed by digital photography, despite the slight correlation to proptometry. These findings suggest that digital photography morphometry can identify minor ocular alterations, in a more sensitive way than the proptometer itself.Despite high correlation, there are some minor discrepancies between left and right proptosis in both groups, but mainly in the GO group. The analysis of each eye individually, instead of through patient-by-patient analysis, reduces the influence of these asymmetries in the comparison among groups.Comparing the eyelid contour of GO, blepharoptosis and normal eyes, Cruz et al. found that GO caused increased curvature of the upper eyelid, mostly in the temporal upper quadrant, reinforcing our findings of enhanced lateral oculometric measures.<a class="elsevierStyleCrossRef" href="#bib11">11</a> Although eyelid retraction is universally characterized by fissure central height, our results showed that this measure is not the major feature in GO because a laterally asymmetrical pattern of eyelid retraction was observed.Reliability of the method depends on careful photographic standardization as well as eye positioning and eyelid tension. When performing clinical or experimental trials, the increase in sample size, the number of pictures per eye, or even the use of a video camera for selecting the more representative picture can reduce any interference with accurate measurements.<a class="elsevierStyleCrossRefs" href="#bib11">11,19,20</a>Careful standardization of light, framing, zoom and position remains the key factor for accurate orbital and eye measurements. Photographic measures usually employ a transparent ruler lined up to the visual axis for index measures.<a class="elsevierStyleCrossRef" href="#bib21">21</a> Miot et al. demonstrated that these measures were highly correlated to oculometric estimation as indexed by individual iris diameter, enabling comparative oculometric evaluations both in clinical practice and research through the use of a widely available technology.<a class="elsevierStyleCrossRef" href="#bib14">14</a>Patients with uncontrolled thyroid function (both hyper- and hypothyroidism) are more likely to evolve to severe GO than patients with euthyroidism.<a class="elsevierStyleCrossRef" href="#bib3">3</a> In this study, TSH and fT4 blood levels were similar in both GO and control patients, excluding the influence of thyrotoxicosis and sympathetic tonus affecting oculometric changes.The low cost, availability, non-invasiveness, ability to “blind” the examiner, and the ease of transfer and display make digital photography a suitable method for clinical documentation and even clinical trials. Digital photographs can also be easily stored and re-employed in future studies. Likewise, old pictures, since a minimum standardization has been observed, can be analyzed by this method, in spite of the absence of metric scales. This study has indexed oculometric measures based on individual iris diameter, an invariable and highly reproducible index even for different distances between the camera and the patient, as well as stored pictures.<a class="elsevierStyleCrossRef" href="#bib14">14</a>This preliminary study excluded asymmetric GO and patients with tumors, scars and other ocular pathologies because any of those complications could cause orbital architecture distortions and alter external eye measures, representing limitations to this study.Finally, the comparative analysis of oculometric parameters in Graves’ ophthalmopathy suggests that eye proptosis is related to an asymmetric increase in lateral oculometric measures. The results suggest that standardized digital photographs can be used to objectively estimate oculometric parameters for GO patients in clinical practice." "textoCompletoSecciones" => array:1 [ "secciones" => array:6 [ 0 => array:2 [ "identificador" => "xpalclavsec1584910" "titulo" => "KEYWORDS:" ] 1 => array:2 [ "identificador" => "cesec10" "titulo" => "INTRODUCTION" ] 2 => array:2 [ "identificador" => "cesec20" "titulo" => "SUBJECTS AND METHODS" ] 3 => array:2 [ "identificador" => "cesec30" "titulo" => "RESULTS" ] 4 => array:2 [ "identificador" => "cesec40" "titulo" => "DISCUSSION" ] 5 => array:1 [ "titulo" => "REFERENCES" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2009-02-26" "fechaAceptado" => "2009-06-30" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "KEYWORDS:" "identificador" => "xpalclavsec1584910" "palabras" => array:6 [ 0 => "Biometry" 1 => "Eye abnormalities" 2 => "Graves’ disease" 3 => "Graves’" 4 => "Ophthalmopathy" 5 => "Photography" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:2 [ "resumen" => "OBJECTIVESTo estimate oculometric parameters of Graves’ ophthalmopathy in comparison to healthy eyes using digital photography and digital image analysis. INTRODUCTIONGraves’ ophthalmopathy is the main cause of eye proptosis. Because these protrusions cause clinically perceived distortions in orbital architecture, digital photographs can be used to detect and quantify these changes. METHODSWe carried out a cross-sectional study comprising 12 healthy volunteers and 15 Graves’ ophthalmopathy patients with the purpose of evaluating the use of simple, non-invasive digital photography to estimate oculometric parameters of Graves’ ophthalmopathy and compare them with the parameters of unaffected eyes.Facial photographs of cases and controls were taken in a standardized manner. Oculometric parameters were compared between the groups and then correlated to proptometer measures. RESULTSAll estimated oculometric variables showed significant differences between the groups, in particular with regard to mediopupilar aperture, lateral height, distance from the iris edge to the lateral boundary of the palpebral fissure, and distance from the higher point of the iris to the lateral limit of the palpebral fissure. The product of medial aperture and horizontal palpebral fissure also revealed greater discrepancy between the groups. Proptometer measures showed significant linear correlation between the distance from the iris edge to the lateral boundary of the palpebral fissure and between the distance from the higher point of the iris to the lateral limit of palpebral fissure (p<0.05). CONCLUSIONSComparative analysis of oculometric parameters in Graves’ ophthalmopathy suggests that eye proptosis is related to an asymmetric increase in lateral oculometric measures. Standardized digital photographs can be used in clinical practice to objectively estimate oculometric parameters of Graves’ ophthalmopathy patients." "secciones" => array:5 [ 0 => array:2 [ "identificador" => "ceabs10" "titulo" => "OBJECTIVES" ] 1 => array:2 [ "identificador" => "ceabs20" "titulo" => "INTRODUCTION" ] 2 => array:2 [ "identificador" => "ceabs30" "titulo" => "METHODS" ] 3 => array:2 [ "identificador" => "ceabs40" "titulo" => "RESULTS" ] 4 => array:2 [ "identificador" => "ceabs50" "titulo" => "CONCLUSIONS" ] ] ] ] "multimedia" => array:3 [ 0 => array:7 [ "identificador" => "f1-cln64_9p885" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 636 "Ancho" => 993 "Tamanyo" => 101664 ] ] "descripcion" => array:1 [ "en" => "Standardized eye measures: DI (horizontal diameter of the iris); MAR (mediopupilar aperture); PF (horizontal palpebral fissure); MH (medial aperture height, tangential to iris); LH (lateral aperture height, tangential to iris); RL (distance of iris edge to the lateral boundary of palpebral fissure); and HIP (distance from the highest point of iris to the lateral limit of the palpebral fissure)" ] ] 1 => array:7 [ "identificador" => "f2-cln64_9p885" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 504 "Ancho" => 976 "Tamanyo" => 48735 ] ] "descripcion" => array:1 [ "en" => "Comparison of eye measures between GO and non-GO patients adjusted to iris diameter (mean ± standard deviation)" ] ] 2 => array:7 [ "identificador" => "t1-cln64_9p885" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:1 [ "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"><th 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" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">GO patients \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Non-GO volunteers \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">p \t\t\t\t\t\t\n \t\t\t\t\t\t</th></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">Sex:</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">Females \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.63<a class="elsevierStyleCrossRef" href="#tfn1-cln64_9p885">*</a> \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">Males \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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">Age (in years)</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">Median \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.64<a class="elsevierStyleCrossRef" href="#tfn2-cln64_9p885">**</a> \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">IQR<a class="elsevierStyleCrossRef" href="#tfn4-cln64_9p885">Δ</a> \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9.5 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">24 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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">Current thyroid parameters</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">fT4 (median ± IQR<a class="elsevierStyleCrossRef" href="#tfn4-cln64_9p885">Δ</a>) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.45±0.4 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.43±0.2 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.45<a class="elsevierStyleCrossRef" href="#tfn2-cln64_9p885">**</a> \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">TSH (median ± IQR<a class="elsevierStyleCrossRef" href="#tfn4-cln64_9p885">Δ</a>) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.9±1.6 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.6±0.8 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.10<a class="elsevierStyleCrossRef" href="#tfn2-cln64_9p885">**</a> \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">TPO-Ab<a class="elsevierStyleCrossRef" href="#tfn5-cln64_9p885">†</a> positive N (%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11 (66.7) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">- \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.01<a class="elsevierStyleCrossRef" href="#tfn1-cln64_9p885">*</a> \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">TG-Ab<a class="elsevierStyleCrossRef" href="#tfn6-cln64_9p885">‡</a> positive N (%) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 (53.3) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">- \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.01<a class="elsevierStyleCrossRef" href="#tfn1-cln64_9p885">*</a> \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" style="border-bottom: 2px solid black">Proptosis in mm (mean ± sd) \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">21.9±1.7 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">16.8±1.7 \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black"><0.01<a class="elsevierStyleCrossRef" href="#tfn3-cln64_9p885">***</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] "notaPie" => array:6 [ 0 => array:3 [ "identificador" => "tfn1-cln64_9p885" "etiqueta" => "*" "nota" => "Fisher’s test;" ] 1 => array:3 [ "identificador" => "tfn2-cln64_9p885" "etiqueta" => "**" "nota" => "Mann-Whitney test;" ] 2 => array:3 [ "identificador" => "tfn3-cln64_9p885" "etiqueta" => "***" "nota" => "Student’s t-test;" ] 3 => array:3 [ "identificador" => "tfn4-cln64_9p885" "etiqueta" => "Δ" "nota" => "interquartile range;" ] 4 => array:3 [ "identificador" => "tfn5-cln64_9p885" "etiqueta" => "†" "nota" => "anti-thyroperoxidade antibody;" ] 5 => array:3 [ "identificador" => "tfn6-cln64_9p885" "etiqueta" => "‡" "nota" => "anti-thyroglobulin antibody." ] ] ] "descripcion" => array:1 [ "en" => "Baseline clinical and epidemiologic data from the study participants" ] ] ] "bibliografia" => array:2 [ "titulo" => "REFERENCES" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "cebibsec10" "bibliografiaReferencia" => array:21 [ 0 => array:3 [ "identificador" => "bib1" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Graves’ ophthalmopathy: natural history and treatment outcomes" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => """ D Noth \n \t\t\t\t\t\t\t\t """ 1 => """ M Gebauer \n \t\t\t\t\t\t\t\t """ 2 => """ B Müller \n \t\t\t\t\t\t\t\t """ 3 => """ U Bürgi \n \t\t\t\t\t\t\t\t """ 4 => """ P Diem \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Swiss Med Wkly" "fecha" => "2001" "volumen" => "131" "paginaInicial" => "603" "paginaFinal" => "609" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/11820071" "web" => "Medline" ] ] ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib2" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Grave’s disease 1835–2002" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => """ AP Weetman \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1159/000067837" "Revista" => array:7 [ "tituloSerie" => "Horm Res" "fecha" => "2003" "volumen" => "59" "numero" => "Suppl 1" "paginaInicial" => "114" "paginaFinal" => "118" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/12638522" "web" => "Medline" ] ] ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib3" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Consensus statement of the European Group on Graves’ orbitopathy (EUGOGO) on management of Graves’ orbitopathy" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => """ L Bartalena \n \t\t\t\t\t\t\t\t """ 1 => """ L Baldeschi \n \t\t\t\t\t\t\t\t """ 2 => """ AJ Dickinson \n \t\t\t\t\t\t\t\t """ 3 => """ A Eckstein \n \t\t\t\t\t\t\t\t """ 4 => """ P Kendall-Taylor \n \t\t\t\t\t\t\t\t """ 5 => """ C Marcocci \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1089/thy.2007.0315" "Revista" => array:6 [ "tituloSerie" => "Thyroid" "fecha" => "2008" "volumen" => "18" "paginaInicial" => "333" "paginaFinal" => "346" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/18341379" "web" => "Medline" ] ] ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib4" "etiqueta" => "4" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Systemic diseases involving the orbit" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => """ SG McKinnon \n \t\t\t\t\t\t\t\t """ 1 => """ LR Gentry \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/s0887-2171(98)90013-0" "Revista" => array:6 [ "tituloSerie" => "Semin Ultrasound CT MR" "fecha" => "1998" "volumen" => "19" "paginaInicial" => "292" "paginaFinal" => "308" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/9686690" "web" => "Medline" ] ] ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib5" "etiqueta" => "5" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Diagnostic ability of Barrett’s index to detect dysthyroid optic neuropathy using multidetector computed tomography" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => """ ML Monteiro \n \t\t\t\t\t\t\t\t """ 1 => """ AC Gonçalves \n \t\t\t\t\t\t\t\t """ 2 => """ CT Silva \n \t\t\t\t\t\t\t\t """ 3 => """ JP Moura \n \t\t\t\t\t\t\t\t """ 4 => """ CS Ribeiro \n \t\t\t\t\t\t\t\t """ 5 => """ EM Gebrim \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1590/s1807-59322008000300003" "Revista" => array:6 [ "tituloSerie" => "Clinics" "fecha" => "2008" "volumen" => "63" "paginaInicial" => "301" "paginaFinal" => "306" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/18568237" "web" => "Medline" ] ] ] ] ] ] ] ] 5 => array:3 [ "identificador" => "bib6" "etiqueta" => "6" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Clinical criteria for the assessment of disease activity in Graves’ 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Hélio Amante MiotI, Leonardo Parr dos Santos FernandesII, Edson Nassib JorgeIII, Daniel Rosito PivottoIII, Célia Regina NogueiraIII, Gláucia Maria Ferreira da Silva MazetoIII

I Dermathology Department, Botucatu Medical School, São Paulo State University (UNESP) - Botucatu/SP, Brazil

II Internal Medicine Department, University of Marília - Marília/SP, Brazil

III Ophthalmology Department, Botucatu Medical School, São Paulo State University (UNESP) - Botucatu/SP, Brazil., Tel: 55 14 3811.6213

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          "en" => "<p id="spara20" class="elsevierStyleSimplePara elsevierViewall">Comparison of eye measures between GO and non-GO patients adjusted to iris diameter &#40;mean &#177; standard deviation&#41;</p>"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="cesec10" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle70">INTRODUCTION</span><p id="para10" class="elsevierStylePara elsevierViewall">Graves&#8217; ophthalmopathy &#40;GO&#41;&#44; or thyroid ophthalmopathy&#44; is an autoimmune condition that primarily affects extraocular muscles and occurs in more than 90&#37; of patients with Graves&#8217; disease&#46; Despite this prevalence&#44; just 3 to 4&#37; of these patients evolve to visual damage&#46;<a class="elsevierStyleCrossRef" href="#bib1">1</a>&#8211;<a class="elsevierStyleCrossRef" href="#bib3">3</a></p><p id="para20" class="elsevierStylePara elsevierViewall">This ophthalmopathy is currently recognized as the most common cause of proptosis in adults&#44; causing distress due to functional impairment and a cosmetically unacceptable appearance&#46; In addition&#44; ocular pain&#44; diplopia&#44; compressive optic neuropathy&#44; and exposure keratopathy can also occur&#46;<a class="elsevierStyleCrossRefs" href="#bib2">2&#44;4</a></p><p id="para30" class="elsevierStylePara elsevierViewall">The physiopathology seems to be an autoimmune reaction against orbital fibroblasts&#46; The immune response targets extraocular muscles&#44; orbital fat and the lacrimal gland&#46; Stimulation of orbital fibroblasts in these tissues causes the production of hyaluronic acid&#44; which increases the osmotic load of the tissues and results in passive swelling&#46;<a class="elsevierStyleCrossRef" href="#bib1">1</a></p><p id="para40" class="elsevierStylePara elsevierViewall">Despite its frequency and the ease of diagnosis&#44;<a class="elsevierStyleCrossRef" href="#bib5">5</a> treatments are currently unsatisfactory&#46; GO is usually estimated by the severity of clinical symptoms&#44; orbital ultrasonography&#44; computed tomography scanning&#44; magnetic resonance imaging&#44; or proptometry&#46;<a class="elsevierStyleCrossRef" href="#bib4">4</a>&#8211;<a class="elsevierStyleCrossRef" href="#bib8">8</a> Few studies have evaluated oculometric changes in GO&#44; and there is some difficulty in estimating slight clinical improvements in clinical or experimental trials&#46; This difficulty is mainly caused by the low sensitivity&#44; low reproducibility&#44; and high costs of each method for GO estimation&#46;<a class="elsevierStyleCrossRef" href="#bib9">9</a>&#8211;<a class="elsevierStyleCrossRef" href="#bib11">11</a></p><p id="para50" class="elsevierStylePara elsevierViewall">Because proptosis causes clinically perceived distortions in orbital architecture&#44; digital photographs can also be used to detect and quantify these changes in ocular measurements&#46;</p><p id="para60" class="elsevierStylePara elsevierViewall">Digital photography is a bidimensional modality of image recording where the complexity of light is represented as a pixel matrix of fixed and known location values and color intensity&#46;<a class="elsevierStyleCrossRef" href="#bib12">12</a></p><p id="para70" class="elsevierStylePara elsevierViewall">We propose the use of simple and non-invasive digital photography and digital image analysis to estimate oculometric parameters of GO&#46;</p></span><span id="cesec20" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle80">SUBJECTS AND METHODS</span><p id="para80" class="elsevierStylePara elsevierViewall">A total of 24 eyes &#40;12 volunteers&#41; without clinical and laboratorial evidence of thyroid disease or GO and 30 eyes &#40;15 patients&#41; with GO were photographed&#46;</p><p id="para90" class="elsevierStylePara elsevierViewall">Cases were selected among current Graves&#8217; disease patients from Botucatu Medical School&#44; Sao Paulo State University&#46; Normal controls were chosen from the hospital healthcare staff and were paired by age&#46;</p><p id="para100" class="elsevierStylePara elsevierViewall">GO was diagnosed after clinical evaluation&#46; Inclusion criteria were&#58; moderate and severe bilateral ocular involvement &#40;class 2&#44; grade c&#59; class 3&#44; grades a&#8211;c&#59; class 4&#44; grades a&#8211;c&#59; class 6&#44; grade a&#41;&#44; according to the &#8220;NO SPECS&#8221; classification&#46;<a class="elsevierStyleCrossRef" href="#bib7">7</a> Soft-tissue involvement and eye disease activity were defined according to a Clinical Activity Score &#40;CAS&#41; of three or more&#46;<a class="elsevierStyleCrossRefs" href="#bib6">6&#44;8</a></p><p id="para110" class="elsevierStylePara elsevierViewall">Exclusion criteria were&#58; self-referred Asian or African-American ethnic group&#44; use of contact lenses&#44; and history of orbital tumors&#44; trauma or scars&#46;</p><p id="para120" class="elsevierStylePara elsevierViewall">Digital photographs were taken at a standardized distance&#44; framing the face centrally&#44; with the gaze lasting a few seconds&#44; using a digital camera &#40;Sony Cybershot DSC P32&#44; f&#61;1&#47;2&#46;8&#44; 1632&#215;1224 pixels of resolution&#44; RGB 24 bits&#44; ISO 100&#41;&#46; Images were then saved as JPEG files&#46; Digital photographs were taken at a 60-cm distance from the patients&#44; by the same photographer and in the same room&#46; The camera was positioned at eye-height&#44; under the same artificial fluorescent lighting&#46;</p><p id="para130" class="elsevierStylePara elsevierViewall">The images were analyzed in ImageJ 1&#46;41v software&#46; Oculometric variables &#40;<a class="elsevierStyleCrossRef" href="#f1-cln64_9p885">Figure 1</a>&#41;&#44; such as MAR &#40;mediopupilar aperture&#41;&#44; PF &#40;horizontal palpebral fissure&#41;&#44; MH &#40;medial aperture height&#44; tangential to iris&#41;&#44; LH &#40;lateral aperture height&#44; tangential to iris&#41;&#44; RL &#40;distance of iris edge to the lateral boundary of palpebral fissure&#41;&#44; and HIP &#40;distance from the highest point of iris to the lateral limit of the palpebral fissure&#41;&#44; were calculated according to the size in pixels of each structure&#46; The lengths were expressed according to individual horizontal iris diameter &#40;DI&#41;&#46;<a class="elsevierStyleCrossRefs" href="#bib13">13&#44;14</a> Secondary variables were also calculated&#58; lateral-medial aperture ratio &#40;L&#47;M&#41; and product of medial aperture and palpebral fissure &#40;MAxPF&#41;&#46; The author who analyzed the pictures was not aware of the match between eyes and study groups&#44; although there was clear visual evidence of GO in every patient with the disease&#46;</p><elsevierMultimedia ident="f1-cln64_9p885"></elsevierMultimedia><p id="para140" class="elsevierStylePara elsevierViewall">Proptosis of each eye was also assessed by proptometer &#40;Exophthalmometer of Marco&#59; Marco Ophthalmic Co&#44; EUA&#41; and measured in millimeters &#40;mm&#41;&#46;</p><p id="para150" class="elsevierStylePara elsevierViewall">Oculometric parameters were compared between the groups and then correlated to proptometer measures&#46;</p><p id="para160" class="elsevierStylePara elsevierViewall">The normality of the measured variables was assessed by the Shapiro-Wilk test&#46; Central tendency measures were expressed as mean and median&#44; while dispersion measures were standard deviation &#40;SD&#41;&#44; variance&#44; interquartile range &#40;IQR&#41;&#46; Correlation measures were estimated by Pearsons&#8217; correlation test after best-fit curve adjustment&#46; Between-sample comparisons were done by Student&#8217;s t-test or Mann-Whitney test &#40;if indicated&#41;&#46; Comparisons between methods were performed by paired Student&#8217;s t-test&#46; The statistical analysis was performed using Bioestat 5&#46;0 software&#44; and two-tailed p-values less than 0&#46;05 were considered as significant&#46;<a class="elsevierStyleCrossRef" href="#bib15">15</a></p><p id="para170" class="elsevierStylePara elsevierViewall">Sample size was evaluated after a pre-test comprising 24 GO and 30 unaffected eyes&#44; considering comparison of oculometric means with the goal of reaching a minimum difference of 20&#37;&#44; according to a power of 0&#46;85 and bilateral alpha significance level of 0&#46;01&#46;</p><p id="para180" class="elsevierStylePara elsevierViewall">This work was approved by the Unesp ethical committee for human research &#40;process 1179&#47;2003&#41;&#46;</p></span><span id="cesec30" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle90">RESULTS</span><p id="para190" class="elsevierStylePara elsevierViewall">Baseline epidemiologic data from two groups showed no statistical differences with regard to gender&#44; age and thyroid hormonal parameters &#40;free T4 and TSH&#41; because GO patients were under adequate treatment &#40;<a class="elsevierStyleCrossRef" href="#t1-cln64_9p885">Table 1</a>&#41;&#46; Thyroid autoantibodies were detected only in GO patients&#46; The mean &#40;&#177; standard deviation&#41; proptometer measurements were 21&#46;9&#177;1&#46;7 mm and 16&#46;8&#177;1&#46;7 mm in GO and volunteers&#44; respectively &#40;p&#60;0&#46;01&#41;&#46;</p><elsevierMultimedia ident="t1-cln64_9p885"></elsevierMultimedia><p id="para200" class="elsevierStylePara elsevierViewall">Right and left eyes were correlated with regard to proptometer measures in both groups&#44; with a Pearson&#8217;s R&#61;0&#46;81 and 0&#46;93 for the GO and control groups&#44; respectively &#40;p&#60;0&#46;01&#41;&#46;</p><p id="para210" class="elsevierStylePara elsevierViewall">All oculometric variables estimated showed significant differences between the groups&#44; but MAR&#44; LH&#44; RL&#44; HIP and MAxPF disclosed the greatest discrepancies &#40;<a class="elsevierStyleCrossRef" href="#f2-cln64_9p885">Figure 2</a>&#41;&#46;</p><elsevierMultimedia ident="f2-cln64_9p885"></elsevierMultimedia><p id="para220" class="elsevierStylePara elsevierViewall">Proptometer measures showed slight but significant logarithmic correlation to RL and HIP &#40;R&#61;0&#46;33 and 0&#46;35&#44; p&#60;0&#46;05&#41;&#46; These variables estimate lateral asymmetric eye displacement&#46;</p><p id="para230" class="elsevierStylePara elsevierViewall">There was no difference in the frequencies of inferior &#8220;scleral show&#8221; between the groups&#44; nor was this parameter correlated to proptometry &#40;p&#62;0&#46;1&#41;&#46;</p></span><span id="cesec40" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle100">DISCUSSION</span><p id="para240" class="elsevierStylePara elsevierViewall">Computational image editors can display and analyze digital images&#44; and digital image pixels can be quantified and measured&#46; These properties allow the use of digital image analysis systems to estimate length&#44; morphology&#44; color intensity and texture in several fields of science&#46;<a class="elsevierStyleCrossRefs" href="#bib16">16&#44;17</a></p><p id="para250" class="elsevierStylePara elsevierViewall">GO promotes severe alterations in the entire orbital structure and often requires assessment using invasive and expensive techniques &#40;e&#46;g&#46;&#44; computerized tomography&#41;&#46; On the other hand&#44; digital photography can only estimate external ocular modifications&#46; Despite this limitation&#44; this study discloses several differences between controls and GO patients that can be observed with digital photography&#46; Therefore&#44; noninvasive standardized digital photographs allow reliable ocular documentation and clinical assessment in GO&#44; with regard to orbital changes&#46; The effective measurement of oculometric parameters could lead to an objective estimation of the effects of therapeutic interventions&#46;<a class="elsevierStyleCrossRef" href="#bib11">11</a>&#44; <a class="elsevierStyleCrossRef" href="#bib18">18</a></p><p id="para260" class="elsevierStylePara elsevierViewall">In this study&#44; we evaluated oculometric variables that can quantify abnormalities in GO patients through the use of digital standardized photographs&#46; Despite individualities of ocular involvement&#44; proptosis modifies the architecture of the whole eye&#44; and the outer projection can be assessed by digital measures&#44; especially lateral variables such as LH&#44; RL&#44; HIP and MAxPF&#46;</p><p id="para270" class="elsevierStylePara elsevierViewall">General oculometric measures revealed drastic differences between normal and GO eyes as assessed by digital photography&#44; despite the slight correlation to proptometry&#46; These findings suggest that digital photography morphometry can identify minor ocular alterations&#44; in a more sensitive way than the proptometer itself&#46;</p><p id="para280" class="elsevierStylePara elsevierViewall">Despite high correlation&#44; there are some minor discrepancies between left and right proptosis in both groups&#44; but mainly in the GO group&#46; The analysis of each eye individually&#44; instead of through patient-by-patient analysis&#44; reduces the influence of these asymmetries in the comparison among groups&#46;</p><p id="para290" class="elsevierStylePara elsevierViewall">Comparing the eyelid contour of GO&#44; blepharoptosis and normal eyes&#44; Cruz <span class="elsevierStyleItalic">et al&#46;</span> found that GO caused increased curvature of the upper eyelid&#44; mostly in the temporal upper quadrant&#44; reinforcing our findings of enhanced lateral oculometric measures&#46;<a class="elsevierStyleCrossRef" href="#bib11">11</a> Although eyelid retraction is universally characterized by fissure central height&#44; our results showed that this measure is not the major feature in GO because a laterally asymmetrical pattern of eyelid retraction was observed&#46;</p><p id="para300" class="elsevierStylePara elsevierViewall">Reliability of the method depends on careful photographic standardization as well as eye positioning and eyelid tension&#46; When performing clinical or experimental trials&#44; the increase in sample size&#44; the number of pictures per eye&#44; or even the use of a video camera for selecting the more representative picture can reduce any interference with accurate measurements&#46;<a class="elsevierStyleCrossRefs" href="#bib11">11&#44;19&#44;20</a></p><p id="para310" class="elsevierStylePara elsevierViewall">Careful standardization of light&#44; framing&#44; zoom and position remains the key factor for accurate orbital and eye measurements&#46; Photographic measures usually employ a transparent ruler lined up to the visual axis for index measures&#46;<a class="elsevierStyleCrossRef" href="#bib21">21</a> Miot <span class="elsevierStyleItalic">et al&#46;</span> demonstrated that these measures were highly correlated to oculometric estimation as indexed by individual iris diameter&#44; enabling comparative oculometric evaluations both in clinical practice and research through the use of a widely available technology&#46;<a class="elsevierStyleCrossRef" href="#bib14">14</a></p><p id="para320" class="elsevierStylePara elsevierViewall">Patients with uncontrolled thyroid function &#40;both hyper- and hypothyroidism&#41; are more likely to evolve to severe GO than patients with euthyroidism&#46;<a class="elsevierStyleCrossRef" href="#bib3">3</a> In this study&#44; TSH and fT4 blood levels were similar in both GO and control patients&#44; excluding the influence of thyrotoxicosis and sympathetic tonus affecting oculometric changes&#46;</p><p id="para330" class="elsevierStylePara elsevierViewall">The low cost&#44; availability&#44; non-invasiveness&#44; ability to &#8220;blind&#8221; the examiner&#44; and the ease of transfer and display make digital photography a suitable method for clinical documentation and even clinical trials&#46; Digital photographs can also be easily stored and re-employed in future studies&#46; Likewise&#44; old pictures&#44; since a minimum standardization has been observed&#44; can be analyzed by this method&#44; in spite of the absence of metric scales&#46; This study has indexed oculometric measures based on individual iris diameter&#44; an invariable and highly reproducible index even for different distances between the camera and the patient&#44; as well as stored pictures&#46;<a class="elsevierStyleCrossRef" href="#bib14">14</a></p><p id="para340" class="elsevierStylePara elsevierViewall">This preliminary study excluded asymmetric GO and patients with tumors&#44; scars and other ocular pathologies because any of those complications could cause orbital architecture distortions and alter external eye measures&#44; representing limitations to this study&#46;</p><p id="para350" class="elsevierStylePara elsevierViewall">Finally&#44; the comparative analysis of oculometric parameters in Graves&#8217; ophthalmopathy suggests that eye proptosis is related to an asymmetric increase in lateral oculometric measures&#46; The results suggest that standardized digital photographs can be used to objectively estimate oculometric parameters for GO patients in clinical practice&#46;</p></span></span>"
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        "resumen" => "<span id="ceabs10" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle10">OBJECTIVES</span><p id="spara40" class="elsevierStyleSimplePara elsevierViewall">To estimate oculometric parameters of Graves&#8217; ophthalmopathy in comparison to healthy eyes using digital photography and digital image analysis&#46;</p></span> <span id="ceabs20" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle20">INTRODUCTION</span><p id="spara50" class="elsevierStyleSimplePara elsevierViewall">Graves&#8217; ophthalmopathy is the main cause of eye proptosis&#46; Because these protrusions cause clinically perceived distortions in orbital architecture&#44; digital photographs can be used to detect and quantify these changes&#46;</p></span> <span id="ceabs30" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle30">METHODS</span><p id="spara60" class="elsevierStyleSimplePara elsevierViewall">We carried out a cross-sectional study comprising 12 healthy volunteers and 15 Graves&#8217; ophthalmopathy patients with the purpose of evaluating the use of simple&#44; non-invasive digital photography to estimate oculometric parameters of Graves&#8217; ophthalmopathy and compare them with the parameters of unaffected eyes&#46;</p><p id="spara70" class="elsevierStyleSimplePara elsevierViewall">Facial photographs of cases and controls were taken in a standardized manner&#46; Oculometric parameters were compared between the groups and then correlated to proptometer measures&#46;</p></span> <span id="ceabs40" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle40">RESULTS</span><p id="spara80" class="elsevierStyleSimplePara elsevierViewall">All estimated oculometric variables showed significant differences between the groups&#44; in particular with regard to mediopupilar aperture&#44; lateral height&#44; distance from the iris edge to the lateral boundary of the palpebral fissure&#44; and distance from the higher point of the iris to the lateral limit of the palpebral fissure&#46; The product of medial aperture and horizontal palpebral fissure also revealed greater discrepancy between the groups&#46; Proptometer measures showed significant linear correlation between the distance from the iris edge to the lateral boundary of the palpebral fissure and between the distance from the higher point of the iris to the lateral limit of palpebral fissure &#40;p&#60;0&#46;05&#41;&#46;</p></span> <span id="ceabs50" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle50">CONCLUSIONS</span><p id="spara90" class="elsevierStyleSimplePara elsevierViewall">Comparative analysis of oculometric parameters in Graves&#8217; ophthalmopathy suggests that eye proptosis is related to an asymmetric increase in lateral oculometric measures&#46; Standardized digital photographs can be used in clinical practice to objectively estimate oculometric parameters of Graves&#8217; ophthalmopathy patients&#46;</p></span>"
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          "en" => "<p id="spara10" class="elsevierStyleSimplePara elsevierViewall">Standardized eye measures&#58; DI &#40;horizontal diameter of the iris&#41;&#59; MAR &#40;mediopupilar aperture&#41;&#59; PF &#40;horizontal palpebral fissure&#41;&#59; MH &#40;medial aperture height&#44; tangential to iris&#41;&#59; LH &#40;lateral aperture height&#44; tangential to iris&#41;&#59; RL &#40;distance of iris edge to the lateral boundary of palpebral fissure&#41;&#59; and HIP &#40;distance from the highest point of iris to the lateral limit of the palpebral fissure&#41;</p>"
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                  \t\t\t\t" scope="col">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col">GO patients&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Females&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">11&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">9&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">0&#46;63<a class="elsevierStyleCrossRef" href="#tfn1-cln64_9p885">&#42;</a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Males&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="center" valign="\n
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                  \t\t\t\t">4&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="center" valign="\n
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                  \t\t\t\t">3&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="center" 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  " colspan="4" align="left" valign="\n
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                  \t\t\t\t">Age &#40;in years&#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>Median&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
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                  \t\t\t\t">36&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="center" valign="\n
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                  \t\t\t\t">30&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="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;64<a class="elsevierStyleCrossRef" href="#tfn2-cln64_9p885">&#42;&#42;</a>&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>IQR<a class="elsevierStyleCrossRef" href="#tfn4-cln64_9p885">&#916;</a>&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="center" valign="\n
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                  \t\t\t\t">9&#46;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="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">24&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="center" 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
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                  \t\t\t\t">Current thyroid parameters</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
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                  \t\t\t\t">fT4 &#40;median &#177; IQR<a class="elsevierStyleCrossRef" href="#tfn4-cln64_9p885">&#916;</a>&#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="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;45&#177;0&#46;4&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="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;43&#177;0&#46;2&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="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;45<a class="elsevierStyleCrossRef" href="#tfn2-cln64_9p885">&#42;&#42;</a>&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">TSH &#40;median &#177; IQR<a class="elsevierStyleCrossRef" href="#tfn4-cln64_9p885">&#916;</a>&#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="center" valign="\n
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                  \t\t\t\t">0&#46;9&#177;1&#46;6&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="center" valign="\n
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                  \t\t\t\t">1&#46;6&#177;0&#46;8&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="center" valign="\n
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                  \t\t\t\t">0&#46;10<a class="elsevierStyleCrossRef" href="#tfn2-cln64_9p885">&#42;&#42;</a>&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">TPO-Ab<a class="elsevierStyleCrossRef" href="#tfn5-cln64_9p885">&#8224;</a> positive N &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
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                  \t\t\t\t">11 &#40;66&#46;7&#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="center" 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="center" valign="\n
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                  \t\t\t\t">&#60;0&#46;01<a class="elsevierStyleCrossRef" href="#tfn1-cln64_9p885">&#42;</a>&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">TG-Ab<a class="elsevierStyleCrossRef" href="#tfn6-cln64_9p885">&#8225;</a> positive N &#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-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;53&#46;3&#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="center" 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="center" valign="\n
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                  \t\t\t\t">&#60;0&#46;01<a class="elsevierStyleCrossRef" href="#tfn1-cln64_9p885">&#42;</a>&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
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Proptosis in mm &#40;mean &#177; sd&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">21&#46;9&#177;1&#46;7&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">16&#46;8&#177;1&#46;7&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">&#60;0&#46;01<a class="elsevierStyleCrossRef" href="#tfn3-cln64_9p885">&#42;&#42;&#42;</a>&nbsp;\t\t\t\t\t\t\n
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                            0 => """
                              D Noth \n
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                              """
                            1 => """
                              M Gebauer \n
                              \t\t\t\t\t\t\t\t
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                            2 => """
                              B M&#252;ller \n
                              \t\t\t\t\t\t\t\t
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                            3 => """
                              U B&#252;rgi \n
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                              P Diem \n
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                      "Revista" => array:6 [
                        "tituloSerie" => "Swiss Med Wkly"
                        "fecha" => "2001"
                        "volumen" => "131"
                        "paginaInicial" => "603"
                        "paginaFinal" => "609"
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                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/11820071"
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                      "titulo" => "Grave&#8217;s disease 1835&#8211;2002"
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                        0 => array:2 [
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                          "autores" => array:1 [
                            0 => """
                              AP Weetman \n
                              \t\t\t\t\t\t\t\t
                              """
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                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1159/000067837"
                      "Revista" => array:7 [
                        "tituloSerie" => "Horm Res"
                        "fecha" => "2003"
                        "volumen" => "59"
                        "numero" => "Suppl 1"
                        "paginaInicial" => "114"
                        "paginaFinal" => "118"
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                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/12638522"
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                      "titulo" => "Consensus statement of the European Group on Graves&#8217; orbitopathy &#40;EUGOGO&#41; on management of Graves&#8217; orbitopathy"
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                          "etal" => true
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                            0 => """
                              L Bartalena \n
                              \t\t\t\t\t\t\t\t
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                            1 => """
                              L Baldeschi \n
                              \t\t\t\t\t\t\t\t
                              """
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                              AJ Dickinson \n
                              \t\t\t\t\t\t\t\t
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                              A Eckstein \n
                              \t\t\t\t\t\t\t\t
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                              P Kendall-Taylor \n
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                              C Marcocci \n
                              \t\t\t\t\t\t\t\t
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                        "tituloSerie" => "Thyroid"
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Article information

ISSN: 18075932
Original language: English

DOI:10.1590/S1807-59322009000900009

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Year/Month	Html	Pdf	Total

2024 November	2	0	2
2024 October	48	29	77
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2024 July	16	15	31
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