metricas
covid
Buscar en
Revista Española de Cirugía Ortopédica y Traumatología
Toda la web
Inicio Revista Española de Cirugía Ortopédica y Traumatología Preoperative assessment and surgical indications: Separation surgery
Información de la revista
Vol. 67. Núm. 6.
Páginas S463-S479 (noviembre - diciembre 2023)
Compartir
Compartir
Descargar PDF
Más opciones de artículo
Visitas
686
Vol. 67. Núm. 6.
Páginas S463-S479 (noviembre - diciembre 2023)
Spinal Monograph
Acceso a texto completo
Preoperative assessment and surgical indications: Separation surgery
Valoración e indicaciones quirúrgicas: cirugía de separación
Visitas
686
S. Fuentes Caparrós
Autor para correspondencia
sfuentesc@telefonica.net

Corresponding author.
, F. Rodríguez de Tembleque Aguilar, M.Á. Marín Luján, J.A. Gutiérrez Castro
Unidad de Columna, Servicio de Cirugía Ortopédica y Traumatología, Hospital Universitario Reina Sofía, Córdoba, Spain
Contenido relacionado
Rev Esp Cir Ortop Traumatol. 2023;67:463-7910.1016/j.recot.2023.04.004
S. Fuentes Caparrós, F. Rodríguez de Tembleque Aguilar, M.Á. Marín Luján, J.A. Gutiérrez Castro
Este artículo ha recibido
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Figuras (11)
Mostrar másMostrar menos
Tablas (5)
Table 1. Prognostic Tokuhashi (revised 2005) scale.
Table 2. Spinal instability neoplastic score.
Table 3. Katagiri8 prognostic scale.
Table 4. Charlson comorbidity index.
Table 5. Clinical groups of the Metastatic Spine Disease Multidisciplinary Working Group.
Mostrar másMostrar menos
Abstract

Neurological compression occurs in 10%–20% of patients who develop spinal metastases. In the last decade, the evolution of oncological diagnostic and medical techniques, the change from conventional external radiation to radiosurgery and the new surgical instruments have meant that the treatment of these patients must be indicated in a personalized manner and by consensus, multidisciplinary way, in specific commissions.

Today, the biological state of the patient, the presence of mechanical instability, the neurological assessment and degree of epidural compression, as well as the best prognostic categorization of the tumor, are established as decision factors prior to the indication of surgical treatment, treatment that has passed from a cytoreductive concept to that of a spinal cord release from tumor in order to ensure safe radiosurgery.

Keywords:
Metastasis
Rachis
Separation surgery
Resumen

La compresión neurológica se presenta entre el 10-20% de los pacientes que desarrollan una metástasis vertebral. En la última década, la evolución de las técnicas diagnósticas y médicas oncológicas, el cambio de la radiación convencional externa a la radiocirugía y los nuevos instrumentales quirúrgicos, han hecho que el tratamiento de estos pacientes deba de ser indicado de forma personalizada y en consenso, de forma multidisciplinar, en comisiones específicas.

Hoy, el estado biológico del paciente, la presencia de inestabilidad mecánica, la valoración neurológica y el grado de compresión epidural, así como la mejor categorización pronóstica del tumor, se establecen como los factores de decisión previa a la indicación del tratamiento quirúrgico, tratamiento que ha pasado de un concepto «citorreductor» al de «separador» o «preparador» de la médula para asegurar una radiocirugía segura.

Palabras clave:
Metástasis
Raquis
Cirugía de separación
Texto completo
Introduction

In 2018 figures from the USA, 1.7 million new cancer diagnoses are made per year, of which 40%–70% will develop vertebral metastases (mx), the most frequent to develop being breast (40%), lung (15%), prostate (10%) and renal (10%) cancers. Among these, around 20% will progress to spinal cord compression. In a not insignificant number of them, the presence of clinical symptoms, manifested as pain or neurological symptoms, will involve surgical treatment. Not so long ago Patchell et al.1 demonstrated surgery's superiority over radiotherapy alone, in terms of improved neurological results, better quality of life and lower economic and social cost.

Since then, the change in the approach to the treatment of these patients has progressed beyond a single vision; the approach must be made by evaluating multiple parameters: quality of life, neurological status, primary tumour, extension, stability, etc., in order to adapt the treatment to the clinical characteristics of each patient. In this regard, we would like to highlight three now classic studies that have enabled a multidisciplinary consensus categorisation to be made, and thus achieve a better treatment adaptation: the revised scale of Tokuhashi et al., 20052 (Table 1), for the assessment of tumour disease and its metastatic burden, the Spinal Instability Neoplastic Score (SINS) 2010 for biomechanical assessment3 (Table 2) and the Epidural Spinal Cord Compression (ESCC) scale of Bilsky et al., 20104 (Fig. 1) for the assessment of the possibility of spinal cord risk in radiotherapeutic treatment. The integration of these concepts has given rise to the current approach to the treatment of metastatic pathology, the NOMS algorithm (Neurologic, Oncologic, Mechanical, Systemic framework),5 which is the basis for the work of the current commissions on spinal metastases.

Table 1.

Prognostic Tokuhashi (revised 2005) scale.

Revised evaluation scale for the prognosis of spine metastases
Characteristics  Score 
1. General status (functional status):
Poor (EF 10%–40%) 
Moderate (EF 50%–70%) 
Good (EF 80%–100%) 
2. Number of extraspinal osseous mx:
≥3 
1–2 
3. Number of extraspinal osseous mx:
≥3 
1–2 
4. Metastases in major internal organs:
Unresecable 
Resecable 
No metastasis 
5. Primary tumour:
Lung, osteosarcoma, oesophagus, stomach, bladder, pancreas 
Liver, unidentified 
Others 
Kidney, uterus 
Rectum 
Thyroid, breast, prostate, carcinoid tumour 
6. Paralysis:
Complete (Frankel A, B) 
Incomplete (Frankel C, D) 
No paralysis (Frankel E) 
Prognostic criteria according to score:
0–8 <6 months survival   
9–11 ≥6 months survival   
12–15 ≥1 year survival   
Table 2.

Spinal instability neoplastic score.

Spinal instability neoplastic score (SINS)
Characteristics  Score 
1. Site:
Transitional (Occ-C2, C7-T2, T11-L1, L5-S1) 
Flexible spine (C3-C6, L2-L4) 
Semi-rigid spine (T3-T10) 
Rigid spine 
2. Pain:
Yes 
Occasional but not mechanical pain 
Lesion with no pain 
3. Bone lesion:
Lytic 
Mixed 
Blastic 
4. Al Radiographic spine alignment:
Subluxation/movement present 
de novo deformity (Cyphosis/escoliosis) 
Normal alignment. 
5. Vertebral body collaps:
>50% collaps 
<50% collapse 
No collapse with >50% of the body affected 
None of the above 
6. Involvement of posterolateral elements:
Bilateral 
Unilateral 
None of the above 
Prognostic criteria according to score:
0–6: stable   
7–12: indeterminate or imminent instability   
13–18: unstable   
SINS 7–18: ensure interconsultation to surgery   
Figure 1.

Epidural spinal cord compression.

(0.67MB).
Surgical indication: changes in patient assessment

Today we consider a survival expectancy of less than 3 or 6 months as the threshold for offering invasive treatment, but how can we refuse treatment to patients when we cannot be sure of this life expectancy? Or how can we refuse treatment to patients with disabling pain or progressive neurological impairments because their life expectancy is less than 3 months?

This vision, established on knowledge and evidence that dates back to the first decade of this century, is also changing with the development of new oncological treatments based on genetic and molecular therapy (the most widely used scales, Tomita or Tokuhashi, do not include this consideration); changes in radiotherapy algorithms based on single major targeted doses (Stereotactic Body RadioTherapy [SBRT]; extracranial stereotactic radiosurgery) or with protons that achieve high percentages (70%–90%) of local control independently of the primary6 tumour or, in surgery, the change from the concept of “excisional” surgery to “separation” surgery associated with radiosurgery (SBRT), the former being mainly indicated in the treatment of radioresistant tumours. All of these are giving patients a better life expectancy, and oncologists and surgeons new therapeutic weapons.

In this sense of focusing surgical treatment on the patient's expectations and quality of life, it is worth evaluating the results of the study by Dea et al.7 in which they evaluated an international cohort of 466 patients, from countries of different cultures, with a survival prognosis of less than 3 months. Their results showed that 76.9% of patients were satisfied with their treatment at 6 weeks and none reported not recommending it. However, as expected, they found a greater number of adverse effects in the group of patients with lower life expectancy compared to those with higher life expectancy, effects which, when analysed, did not occur during intraoperative management (they were not associated with the “surgical burden” measured in duration of surgery or blood loss), but in the postoperative period.

For all these reasons, they conclude, and we agree, that the preoperative baseline clinical condition should be the main determinant of surgical indication rather than the expected survival. These indications should also take into account the concept of outcome effectiveness, with recommendation of the least aggressive possible.

Predictive scales review

This improvement in the survival of tumour patients with metastatic disease has been achieved thanks to a better understanding and treatment of the biology of metastasis (RANKL-RANK association mechanism and the development of drugs such as denosumab that block it by preventing the osteolysis process); the progress of new knowledge in immunogenetics which has made treatments with target drugs directed against tumour cells a reality, allowing better survival rates in classically more aggressive tumours such as lung, melanoma or ovarian tumours, and the improved knowledge of spinal biomechanics in the context of metastatic tumours in these patients. In recent years these factors have given rise to numerous studies reviewing predictive scales based on the analysis of success according to the area under the curve (AUC) technique. These studies show good predictive results (discrimination “c-statistic: patients who survive/death with the best result being “1” and a result equal to chance “.5”).

In this regard, the analysis of the predictive results of the Tokuhashi scale carried out by Zoccali et al.8 in which the reliability of the scale's survival prognosis from 2007 to 2013 is analysed (Fig. 2) may be highlighted. In this meta-analysis of the results of 10 studies involving 1, 686 patients, prediction is analysed according to the 3 groups defined by the Tokuhashi scale (group 1: survival <6 months, group 2: survival 6–12 months and group 3: survival >12 months), finding that if the overall predictive accuracy of the scale was 63%, it was very different depending on the group, being higher for the group with the longest survival (group 3: 77.21%), decreasing for group 1 (64.10%) and no higher than chance for group 2 (55.12%). The decrease in prediction has increased from the appearance of the scale in 2005 to the present day, reflecting the lack of sensitivity of the parameters in the groups with the poorest prognosis, which are those that have benefited most from the development of the most up-to-date treatments.

Figure 2.

Variation in the capacity for prediction of the Tokuhashi scale.

(0.29MB).

New scales and parameters are proposed to improve the reliability of predictions in higher risk groups, a first example of which is the one made by the group of Katagiri et al.9 (Table 3). For the first time this establishes prognostic differences depending on sensitivity to hormone-dependent treatment in the case of breast or prostate or with specific target drugs in lung cancer, and biochemical parameters are also included in the assessment. The scale, with a score between 0 and 10, in our view improves the prognostic results (>.75, <.25) for the high and low survival groups, as well as in the 6-month survival of patients classified as intermediate. Thus, the recommendations for patients with score 0–3, whose life expectancy is greater than one year in 91%, treatment with radiosurgery or combined with separation surgery would be indicated. However, for patients with a score between 7 and 10, with a 6-month survival expectancy of 27% and only a one-year expectancy of 6%, the most indicated option would be conventional radiotherapy combined with internal fixation in case of instability or neurological progression.

Table 3.

Katagiri8 prognostic scale.

Evaluation scale for prognosis of spine metastases
  Score 
1. Primary tumour   
A. Slow growing: 
- Breast and hormone dependent prostate, thyroid, myeloma, lymphoma   
B. Moderate growing: 
- Lung with capacity for targeted molecular treatment   
- Non hormone dependent breast and prostate   
- Renal, endometric, ovarian, sarcomas   
C: Fast growing: 
- Lung without capacity for targeted molecular treatment   
- Colorectal, stomach, pancreas, oesophagus, hepatocellular   
- Head and neck, spleen, unknown origin   
2. Visceral metastases   
A. Nodular or cerebral metastases 
B. Disseminated metastases: 
- Pleurals, peritoneals, leptomeningeal   
3. Lab data   
A. Abnormal: 
- CRP>.4mg/dl, LDH>250IU/dl, albumin<3.5g/dl   
B. Critical: 
- Platelets<100,000, Ca>10.3g/dl, bilirrubina >1.4   
4. ECOG 3-4 
1. Previous chemotherapy 
2. Multiple vertebral metastases 
Prognostic criteria according to score (95%)
Score  6 months  12 months  24 months 
0–3  .981  .914  .778 
4–6  .740  .493  .276 
7–10  .269  .060  .021 

However, although the predictive capacity of these scales has improved to reach a statistic c=.78 for prediction at one year, their predictive capacity for the most severe patients has improved to the same extent. Thus, in order to improve the reliability of survival prediction, new, especially biochemical parameters have been proposed for inclusion. As a useful and simple example, Karhade et al.10 (Fig. 3) proposed serum alkaline phosphatase levels under 100 (c=.75) as an independent prognostic factor for survival longer than 6 months and/or metastatic tumour burden.

Figure 3.

Prognosis according to alkaline phosphatase levels.9

(0.32MB).

FA is a metalloenzyme that is expressed on the surface of osteoblasts and whose level indicates increased activity. In osteolytic lesions it is produced secondarily in an attempt to compensate for destruction and in osteoblastic lesions by direct stimulation. FA is also a marker of intrahepatic bile duct obstruction due to liver metastases.

Regarding tumour metastatic burden, levels >100UI/l are associated with statistically significant differences (p<.001) for the presence of multiple spine metastases (102UI/l), presence of extra-spinal bone mx (105UI/l) or presence of visceral mx (105UI/l).

Finally, the prognostic role of FA in patients treated only with RT, CT or palliative measures has not been studied and neither have the changes in FA in patients treated with antiresorptive drugs before or after surgery.

New scales based on algorithms

Outstanding in this attempt to ensure survival prediction is the work of the Paulino et al.11,12 group from the Massachusetts General Hospital. It described a first algorithm, the “SORG normogram”, based on multiple parameters to reach a prediction of .70 at 30, 90 and 365 days.

Since the publication of the “SORG normogram” staging, work has continued on more complete decision algorithms based on the capabilities of artificial intelligence (“machine learning”). Led by Karhade's group at Harvard Medical School, and joined by Sciubba's group at Johns Hopkins University School of Medicine,13,14 they created the survival prediction algorithm “SORG Machine-Learning” (SORG-ML), an algorithm based on 15 clinical and biochemical parameters which, entered into a computerised database, provide an automated prediction. This algorithm, externally validated,15 improves results in discrimination (c-statistic .75–.81 for 90 days and .77–.78 for one year), calibration, Brier score (mean squared difference between model predicted and observed) and decision curve.

This study is based on the detection methodology described above, and on the study of a sample of 781 patients and 15 variables, both qualitative (primary tumour, ECOG or Charlson morbidity scale16,17) (Table 4) and quantitative (Alk. P levels, haemogram, etc.), creating a computerised algorithm with free access that assesses survival at 90 and 365 days on 15 parameters of different characteristics (https://sorg-apps.shinyapps.io/spinemetssurvival/) (Fig. 4).

Table 4.

Charlson comorbidity index.

Charlson comorbidity index
Characteristics  Score 
- Myocardial infarction or congestive mycardiopathy   
- Peripheral vascular disease or aortic aneurism >6cm   
- Cerebrovascular accident, dementia   
- Chronic obstructive pulmonary disease 
- Connective tissue disease   
- Peptic ulcer disease or liver disease (without portal hypertension)   
- Diabetes without organ involvement   
- Hemiplegia   
- Moderate to severe kidney disease   
- Diabetes with organ involvement (retinopathy, neuropathy, etc.) 
- Non metastic tumour   
- Leukaemia, lymphoma   
- Moderate to severe liver disease 
- Metastatic disease 
- Defined aids (not only HIV positive)   
For each decade above 40 years of age add 1 point to the total.   

HIV: human immunodeficiency virus.

Figure 4.

SORG-ML interface and parameters to be included.

(0.52MB).

Regarding mortality at 90 days, the prediction of the algorithm obtained a c=.83 with the most predictive variables being the primary tumour, preoperative albumin and ECOG grade. Regarding mortality at one year, it reached a statistic of c=.85.

External validation of the SORG-ML algorithm was made compared with 9 prognostic scales (Tokuhashi, revised Tokuhashi, Tomita, Bauer, revised Bauer, Katagiri, van der Linden, SORG classic and Sorg normogram) concluding that it presents a better prediction in mortality at 90 days (AUC=.75–.81) and similar for one year (AUC=.77–.78).

Our indications according to the NOMS concept

In 2015, the Metastatic Spine Disease Multidisciplinary Working Group, a group that includes radiation oncologists, interventional radiologists and surgeons, proposed consensus treatment guidelines based on 5 clinical groups,18 corrected in 201919 (Table 5), in accordance with this multidisciplinary concept in the approach to the treatment of metastatic patients. Following this idea and the updated literature, in which the patient's general condition and stability are the first factors to be evaluated when it comes to the indication, rather than the symptomatology itself, we have proposed the following treatment groups:

Table 5.

Clinical groups of the Metastatic Spine Disease Multidisciplinary Working Group.

MSDMWG clinical groups 
1. Asymptomatic spine metastasis 
2. Uncomplicated spine metastasis 
3. Unstable spine metastasis with fracture 
4. Stable spine metastasis with fracture 
5. Spine metastasis with neurological compression 

MSDMWG: Metastatic Spine Disease Multidisciplinary Working Group.

Low aggressiveness treatment

  • a.

    Palliative radiotherapy: only indicated in patients with a poor systemic status, ECOG 3–4 and/or neurological involvement ASIA A of over 48h evolution.

  • b.

    SBRT (Fig. 5a–d): our indication for single high-dose stereotactic radiosurgery is established in patients with good clinical status ECOG 1–2, stable with SINS <6 and with epidural compression <2. Preferably life expectancy >6 months and with single metastasis.20 It is important to take into account the determination of spinal stability prior to the indication of SBRT as a single treatment even in patients without epidural compression. In a study of patients21 with vertebral mx without epidural compression, prior RT or surgery undergoing SBRT they found that patients with SINS11 were associated with a higher number of adverse effects in the radiated area (vertebral fractures, admission for pain, emergency or scheduled surgery, new neurological symptoms and/or epidural compression). A higher frequency of adverse effects is also observed when comparing SBRT versus conventional multifraction Minimally aggressive techniques (Fig. 6, a–h): the combination of RT with percutaneous techniques such as ablation or cementation is a useful option for fragile patients. Our indication is the same in patients up to ECOG 2, with slow growing tumours and multiple metastases or metastases which progress despite satisfactory control of the systemic disease, particularly in areas of thoracolumbar hinge zones with SINS up to 9 (according to the considerations indicated by Lam et al.21) and preferably with low degrees of spinal cord compression (Bilsky 1C).

    Figure 5.

    SBRT clinical case.

    (0.48MB).
    Figure 6.

    Minimally invasive techniques clinical case.

    (0.82MB).

Some considerations in the application of this technique must be taken into account in order to avoid the complications described with its application (up to 20%). Contraindications for the use of cementation are the involvement of the posterior wall or the presence of a neurological lesion. Regarding ablation, a minimum of 5mm must be established between the ablation area and the spinal cord in order to avoid lesion and to assess the cementation in order to avoid the development of a fracture.

Preventive treatment: SINS 7–12

In the evaluation of the mechanical stability of patients assessed by the SINS scale, the guidelines for action are clear for the “stable” (0–6) and “unstable” (13–18) groups. However, for the “potentially unstable” category (7–12), which accounts for 75% of the patients consulted,19 there is no consensus agreement on the parameters for deciding whether or not to stabilise.

In this sense, Pennigtong et al.22 carried out a review of the therapeutic decisions indicated in a series of patients classified in this group, and of their clinical characteristics. They present a series of patients with a median SINS of 9 (IQR: 7–10 and mode 10) with a Tokuhashi of 8 (IQR: 7–11) and 75% of unstable lesions.

Their conclusions were that 79% of patients with SINS 10-12 were operated on, compared with only 11% with SINS 7–9. The reasons for operating on patients with SINS 7–9 was an epidural compression ESCC 2–3, while patients with high SINS with low survival probability (ECOG 3 and multiple lesions) were not operated on. The operated patients, irrespective of their SINS, were significantly younger, had a higher Tokuhashi, thus associated with longer survival and also a higher Karnofsky. A sub-analysis in these patients also found a higher lytic lesion involvement and pain. This finding is similar to that given by Versteeg et al.,23 who also give cut-offs of 10.7 vs. 7.2 (Fig. 7).

Figure 7.

Need for stabilisation in intermediate area (SINS 7–12).

(0.11MB).

In keeping with this, our unit is particularly interventionist in patients with SINS 9–12, especially in patients with multiple sites or who have undergone previous radiotherapy. The main limiting factor for us is the general status of the patient and secondly the neurological condition. Estimated survival is much less important with our main aim being to ensure quality of life and neurological status during survival (Fig. 8a–f).

Figure 8.

SINS 7–12 clinical case.

(0.68MB).
Separation surgery

For many groups, including ours, during the last decade of the last century and the first decade of the present century, the indicated surgical treatment for patients with single metastasis was en bloc vertebrectomy described by Roy-Camille et al. and popularised by Tomita et al.24,25 whose aim was to perform surgery “as compartmental as possible”, transferring the excisional concept of oncological surgery of the extremities to the spine. The objections to this treatment lie, firstly, in the characteristics of the metastatic disease itself and the presence of “skip metastases” metastases not detectable at the time of indication and the extension of the tumour into the epidural space (layer D in the classification of Weinstein et al.,26) which implies that this compartmental resection is impossible except in patients with Tomita's type 1 intraosseous involvement.27

This concept changed radically in the second decade of this century with the appearance of stereotactic radiosurgery (SRS or SBRT) which allows the total application of the dose in single fractions, minimising the exposure of the tissues at risk, especially the spinal cord. This achieves a direct cytotoxic effect and local control of up to 98% at 2 years, changing the objectives of radiotherapy from traditional pain relief to ablative radiotherapeutic treatment of vertebral metastasis28 and, therefore, from surgical indications based on the need for vertebral tumour reduction or excision (corporectomies or vertebrectomies).

However, these high doses with a tumour-killing effect need a safety margin, estimated to be about 2mm, to be delivered, which is why the concept of “hybrid therapy” is defined, in which surgery aims to create this margin to allow safe treatment with radiosurgery in a second phase.

In their article Barzilai et al.29 give a detailed description of the technique, which is based on a first step of instrumented stabilisation, at least 2 levels above and below the lesion in order to restore a mechanical instability present or secondary to the removal of bone from the posterior elements. A second step of decompression that must take into account the use of technical gestures that avoid putting pressure on the compression, using drills as much as possible (areas free of tumour involvement) and being careful in the intracanal manipulation of the Kerrison heel. This posterior part should end with the achievement of an access corridor to the anterior component that allows the resection of 20% of the vertebral body, the separation of the thecal sac from the posterior common vertebral ligament and the depression of the tumour component in order to obtain a circumferential separation of the dura. Excision of the remaining vertebral tumour within the body or in paraspinal tissues is not necessary as they fall within the treatment field of radiosurgery. Anterior support is only needed in case of a vertebral body resection of more than 50% (Fig. 9a–c). In our unit, protocolised preoperative tumour embolisation is almost routinely performed, especially in patients with hypervascular tumours.

Figure 9.

Indication for vertebral body replacement.

(0.4MB).

In recent years, various technological innovations have improved the separation technique. From the surgical point of view, the development of implants made of carbon fibres reinforced with PEEK® (Fig. 10a–g) has led to an improvement in the quality of the planning and application of radiotherapy by avoiding the scattering effect induced by titanium implants on ionising radiation and particles without reducing the safety offered by the implants in mechanical terms,30 as well as improving the quality of postoperative use of MRI.31

Figure 10.

Separation and carbon instrumentation clinical case.

(0.71MB).

In our unit the technique of choice in the treatment of single metastasis is SBRT radiosurgery when spinal cord compression is Bilsky <2 and the hybrid protocol described for separation surgery with carbon instrumentation combined with early SBRT (2 weeks) in Bilsky ≥2 compression cases. According to the literature, the indication for the hybrid technique does not depend on the type of tumour or age of the patient, but above all on the patient's functional status, the degree of spinal cord injury and the prognosis according to the NOMS.

Spinal cord compression associated with neurological impairment

In this section on “preventive” treatment, we also wanted to include the indications, especially in terms of time, of spinal cord compression with neurological impairment. In this regard, we should highlight the work of Patchel et al.1,32 and Cole et al.32 in which they report a 62% recovery of ambulatory capacity after decompression surgery plus stabilisation and radiotherapy performed before 48h in patients with incomplete or progressive lesions, or that of Fan et al.,33 the latter performed on a group of 43 patients with complete paraplegia (34 Frankel A and 9 Frankel B) in which they observed that those Frankel B patients operated on in a period of less than 48h also improved by at least 2 grades on the scale. None of the Frankel A patients regained ambulation postoperatively. This recommendation is set at 24h, the treatment recommendations given by the NICE guideline.34

Regarding other predictors, Laufer35 established as a poor predictor of functional recovery the established vesicle dysfunction and, in contrast, presented a muscle balance of 3. No relationship has been found between functional recovery with other types of variables such as age, sex and type (aggressiveness) of the tumour. No statistically significant relationship was found with an increase in complications, infections or hospital stay either, compared with preoperative neurological involvement.36

In this sense, our approach is the same as studies that have been commented upon,1,32–34 indicating, firstly, that general medical treatment (analgesia, thromboprophylaxis) be used, specifically with large doses of dexametasone in 16mg/24h doses, neurological status control and surgery in ECOG 0–2 patients who present with a neurological status up to ASIA B of under 48h evolution, regardless of the type of tumour and above all if this is associated with the impossibility of radiosurgery (Bilsky2) and/or the presence of oligometastasis. Early decompression may prevent the cascade of vascular changes which trigger ischaemia and spinal infarction,37 and thereby the ability of reversibility of the neurological involvement, facilitating a particularly significant qualitative neurological improvement (Fig. 11a–e).

Figure 11.

Progressive neurological tumour clinical case.

(0.47MB).
Level of evidence

Level of evidence I.

Funding

No funding was received for this article.

Conflict of interests

The authors have no conflict of interests to declare.

References
[1]
R.A. Patchell, P.A. Tibbs, W.F. Regine, R. Payne, S. Saris, R.J. Kryscio, et al.
Direct decompressive surgical resection in the treatment of spinal cord compression caused by metastatic cancer: a randomized trial.
[2]
Y. Tokuhashi, H. Matsuzaki, H. Oda, M. Oshima, J. Ryu.
A revised scoring system for preoperative evaluation of metastatic spine tumor prognosis.
[3]
C.G. Fisher, C. DiPaola, T.C. Ryken, M.H. Bilsky, C.I. Shaffrey, S.H. Berven, et al.
A novel classification system for spinal instability in neoplastic disease: an evidence-based approach and expert consensus from Spine Oncology Study Group.
Spine, 35 (2010), pp. e1221-e1229
[4]
M.H. Bilsky, I. Laufer, D.R. Fourney, M. Groff, M.H. Schmidt, P.P. Varga, et al.
Reliability analysis of the epidural spinal cord compression scale.
J Neurosurg Spine, 13 (2010), pp. 324-328
[5]
I. Laufer, D.G. Rubin, E. Lis, B.W. Cox, M.D. Stubblefield, Y. Yamada, et al.
The NOMS framework: approach to the treatment of spinal metastatic tumors.
Oncologist, 18 (2013), pp. 744-751
[6]
M.R. Folkert, M.H. Bilsky, A.K. Tom, J.H. Oh, K.M. Alektiar, I. Laufer, et al.
Outcomes and toxicity for hypofractionated and single fraction image-guided stereotactic radiosurgery for sarcomas metastasizing to the spine.
Int J Radiat Oncol Biol Phys, 88 (2014), pp. 1085-1091
[7]
N. Dea, A.L. Versteeg, A. Sahgal, J.J. Verlaan, R. Charest-Morin, L.D. Rhines, et al.
Metastatic spine disease: should patients with short life expectancy be denied surgical care? An International Retrospective Cohort Study.
Neurosurgery, 2 (2020), pp. 303-311
[8]
C. Zoccali, J. Skoch, M. Walter, M. Torabi, M. Borgstrom, A.A. Baaj.
The Tokuhashi score: effectiveness and pitfalls.
Eur Spine J, 25 (2016), pp. 673-678
[9]
H. Katagiri, R. Okada, T. Takagi, M. Takahashi, H. Murata, H. Harada, et al.
New prognostic factors and scoring system for patients with skeletal metastasis.
Cancer Med, 3 (2014), pp. 1359-1367
[10]
A.V. Karhade, C.B.S. Quirina, M. Kuverji, P.T. Ogink, M.L. Ferrone, J.H. Schwabb.
Prognostic value of serum alkaline phosphatase in spinal metastatic disease.
Br J Cancer, 120 (2019), pp. 640-646
[11]
N.R. Paulino Pereira, S.J. Janssen, E. Van Dijk, M.B. Harris, F.J. Hornicek, M.L. Ferrone, et al.
Development of a pronostical survival algorithm for patients with metastatic spine disease.
J Bone Joint Surg Am, 98 (2016), pp. 1767-1776
[12]
N.R. Paulino Pereira, L. Mc Laughlin, S.J. Janssen, E. Van Dijk, J.A.M. Bramer, I. Laufer, et al.
The SORG nomogram accurately predicts 3–12 months survival for operable spine metastatic disease: external validation.
J Surg Oncol, 115 (2017), pp. 1019-1027
[13]
A.V. Karhade, C.B.S. Quirina, P.T. Ogink, A.A. Shah, C.M. Bono, P.J. Saylor, et al.
Development of machine learning algorithms for prediction of 30-day mortality after surgery for spinal metastasis.
Neurosurgery, 85 (2019), pp. E83-E91
[14]
A.V. Karhade, C.B.S. Quirina, P.T. Ogink, C.M. Bono, M.L. Ferrone, K.S. Oh, et al.
Predicting 90-Day and 1-year mortality in spinal metastatic disease: development and internal validation.
Neurosurgery, 85 (2019), pp. E671-E681
[15]
A.V. Karhade, A.K. Ahmed, Z. Pennington, A. Chara, A. Schilling, C.B.S. Quirina, et al.
External validation of the SORG 90-day and 1 year machine learning algorithms for survival in spinal metastatic disease.
[16]
M.E. Charlson, P. Pompei, K.L. Ales, C.R. MacKenzie.
A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.
J Chronic, 40 (1987), pp. 373-383
[17]
M.E. Charlson, R.E. Charlson, J.C. Peterson, S.S. Marinopoulos, W.M. Briggs, J.P. Hollenber.
The Charlson comorbidity index is adapted to predict costs of chronic disease in primary care patients.
J Clin Epid, 61 (2008), pp. 1234-1240
[18]
A.N. Wallace, C.G. Robinson, J. Meyer, N.D. Tran, A. Gangi, M.R. Callstrom, et al.
The metastatic Spine Disease Multidisciplinary Study Working Group Algorithms.
Oncologist, 20 (2015), pp. 1205-1215
[19]
A.N. Wallace, C.G. Robinson, J. Meyer, N.D. Tran, A. Gangi, M.R. Callstrom, et al.
The metastatic Spine Disease Multidisciplinary Study Working Group Algorithms.
Oncologist, 24 (2019), pp. 424
[20]
K.J. Redmon, S.L. Simons, S.G. Soltys, Y. Yamada, I.J. Barani, P.D. Brown, et al.
Consensus guidelines for postoperative stereotactic body radiation therapy for spinal metastases: results of an international survey.
J Neurosurg Spine, 26 (2017), pp. 299-306
[21]
T.C. Lam, H. Uno, M. Krisham, S. Lutz, M. Groff, M. Cheney, et al.
Adverse outcomes after palliative radiation therapy for uncomplicated spine metastasis: role of spinal instability and single-fraction radiation therapy.
Int J Radiat Oncol Biol Phys, 93 (2015), pp. 373-381
[22]
Z. Pennington, A.K. Ahmed, E.M. Westbroek, E. Cottrill, D. Lubelski, M.L. Goodwin, et al.
SINS score and stability: evaluating the need for stabilization within the uncertain category.
World Neurosurg, 127 (2019),
[23]
A.L. Versteeg, J.M. Van der Velden, H.M. Verkooijen, M. Van Vulpen, F.C. Oner, C.G. Fisher, et al.
The effect of introducing the Spinal Instability Neoplastic Score in routine clinical practice for patients with spinal metastases.
[24]
R. Roy-Camille, G. Saillant, M. Bisserié, E. Judet, E. Hautefort, P. Mamoudy.
Total excision of thoracic vertebrae (author's transl).
Rev Chir Orthop Repar Appar Mot, 67 (1981), pp. 421-430
[25]
K. Tomita, N. Kawahara, H. Baba, H. Tsuchiya, S. Nagata, Y. Toribatake, et al.
Total en bloc spondylectomy for solitary spinal metastases.
Int Orthop, 18 (1994), pp. 291-298
[26]
S. Boriani, J.N. Weinstein, R. Biagini.
Primary bone tumors of the spine: terminology and surgical staging.
Spine, 22 (1980), pp. 1036-1044
[27]
C.P. Jódar, S. Fuentes Caparrós, M. Marín, J. Osuna Soto.
Total en bloc Spondylectomy for the L5 metastasis of a carcinoid tumor: illustrative case.
J Neurosurg Case Lesson, 4 (2022),
[28]
E. Katsoulakis, K. Kumar, I. Laufer, Y. Yamada.
Stereotactic body radiotherapy in the treatment of spinal metastases.
Semin Radiot Oncol, 27 (2017), pp. 209-217
[29]
O. Barzilai, I. Laufer, A. Robin, R. Xu, Y. Yamada, M.H. Bilsky.
Hybrid therapy for metastatic epidural spinal cord compression: technique for separation surgery and spinal radiosurgery.
Oper Neurosurg, 16 (2019), pp. 310-318
[30]
S. Boriani, G. Tedesco, L. Ming, R. Ghermandi, M. Amichetti, P. Fossati, et al.
Carbon-fiber reinforced PEEK fixation system in the treatment of spine tumors: a preliminary report.
Eur Spine J, 27 (2018), pp. 874-881
[31]
G. Di Perna, F. Cofano, C. Mantovani, S. Badellino, N. Marengo, M. Ajello, et al.
Separation surgery for metastatic epidural spinal cord compression: a qualitative review.
J Bone Oncol, 25 (2020), pp. 100320
[32]
J.S. Cole, R.A. Patchell.
Metastatic epidural spinal cord compression.
Lancet Neurol, 2 (2008), pp. 87-94
[33]
Y. Fan, X. Zhou, H. Wang, J. Pengxiang, S. Cai, J. Zhang, et al.
The timing of surgical intervention in the treatment of complete motor paralysis in patients with spinal metastases.
Eur Spin J, 25 (2016), pp. 4060-4066
[34]
Metastatic Spinal Cord Compression. Diagnosis and management of patients at risk of or with metastatic spinal cord compression 2008; Developed for NICE by the National Collaborative Centre for Cancer (CG75).
[35]
I. Laufer.
Predicting neurologic recovery after surgery in patients with deficit secondary to MESCC: systematic review.
[36]
N.A. Quaraishi, T.S. Rajagopal, S.R. Manoharan, S. Elsayed, K.L. Edwards, B.M. Boszczyk.
Effect of timing of surgery on neurological outcome and survival in metastatic spinal cord compression.
Eur Spine J, 22 (2013), pp. 1383-1388
[37]
P. Xu, W. Gong, Y. Li, T. Zhang, K. Zhang, D.Z. Yin, et al.
Destructive pathological changes in the rat spinal cord due to chronic mechanical compression.
J Neurosurg Spine, 8 (2008), pp. 279-285
Copyright © 2023. SECOT
Descargar PDF
Opciones de artículo
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

Quizás le interese:
10.1016/j.recot.2023.04.004
No mostrar más