Surgical strategy for spinal metastases

Health- related quality of life after surgery for spinal metastases

Background

Surgery for spinal metastases is almost always palliative and part of a multidisciplinary approach that has determined a significant increase of life expectancy in the last decade; thus, an improvement in health-related quality of life (HRQOL) is the main goal of the treatment of spinal metastases. We report here the results of a prospective study conducted with the aim of evaluating the impact of spinal surgery on HRQOL, measured by Patient-Reported Outcomes Measures (PROMs). We analyzed clinical outcomes (ambulatory status, performance status, pain, neurological status) and HRQOL scores (VAS, EQ5D, SF36) during the follow-up period and focused on factors that could affect quality of life, considering both psychological and physical issues.

Methods

169 patients (96 males, 73 females) with vertebral metastases who underwent surgery at a tertiary referral center were consecutively enrolled from August 2018 to October 2022. Clinical and surgical data were prospectively collected, and PROMs (VAS, EQ-5D and SF-36) were registered before surgery and during follow up.

Results

The overall survival was 22 months, and a 61 % survival rate was registered at 1 year follow-up. We observed a significant improvement in walking ability, general performance status, pain and HRQOL after surgery, which was maintained during the follow up. Multivariate analysis identified three independent variables, capable of influencing the trend of HRQOL after surgery: the presence of pathological fracture, the preoperative neurological status and the local recurrence of disease.

Discussion

This study confirms the effectiveness of surgery for spinal metastases in improving patients' performance status and demonstrates an overall improvement in HRQOL, which is maintained over time.

Surgical management of spinal metastases: A cross-continental study in the United States and the Netherlands

Background

There is currently no consensus on the optimal surgical treatment for patients with spinal metastases. Investigating regional variations in surgical management could provide valuable insights to optimize care and refine surgical practices globally.

Objective

To investigate differences in patient populations, surgical management, and perioperative outcomes among patients who underwent surgery for spinal metastases in either Boston (United States) or Utrecht (Netherlands).

Methods

727 patients surgically treated for spinal metastases in Boston (n=539) and Utrecht (n=188) between 2018-2022 were included. Data on patient characteristics, surgical management, perioperative outcomes, and survival were collected. The Mann-Whitney U test was used for continuous data, and Fisher's exact test for categorical data.

Results

In Boston, a higher percentage of patients had three or more spinal metastases (68% vs 59%; p=0.006) and brain metastases (16% vs 4.3%; p<0.001) at the time of surgery compared with Utrecht. Vertebrectomy/corpectomy with stabilization was performed in 54% of patients in Boston versus none in Utrecht (p<0.001), whereas percutaneous stabilization was performed in 1.3% of patients in Boston versus 39% in Utrecht (p<0.001). In Utrecht, patients received postoperative radiotherapy more frequently (70% vs 54%; p<0.001) and earlier (17 days [IQR:12-24] vs 29 days [IQR:23-39]; p<0.001). Postoperative neurological outcome, complications, reoperation rates, and survival did not differ between the two cohorts (all p>0.05).

Conclusions

Differences in patient populations and surgical management exist between tertiary hospitals on separate continents. Further research is needed to determine the optimal extent and timing of surgery to improve quality of life for patients with spinal metastases.

Survival outcomes and prognostic factors of breast cancer spinal metastases: a retrospective study

PURPOSE

To investigate survival-related factors in patients with breast cancer spinal metastases (BCSM) within the context of multidisciplinary treatment.

METHODS

A retrospective cohort of 78 cases from July 2010 to December 2021 was recruited. These patients underwent surgery-based multidisciplinary treatment. Collected data included demographics, pathologies, symptoms, surgery-related data, adjuvant therapies, postoperative events, and survival data. The primary outcome was overall survival (OS). Kaplan-Meier survival curves were plotted. Univariate analysis employed the log-rank test, and post-hoc multivariate analysis utilized the Cox regression model.

RESULTS

The mean age was 50.9 years. 72 cases (92.3%) reported locoregional pain, and 30 cases (38.5%) presented with neurological dysfunction. The primary pathological subtype was invasive ductal carcinoma (83.3%).

SURGICAL PROCEDURES

total en-bloc spondylectomy (6.4%), debulking surgery (61.5%), palliative surgery (32.1%). Postoperatively, both pain and neurological function significantly improved (P < 0.05). Radiotherapy, endocrine therapy, chemotherapy/targeted therapy were given to 56.4%, 60.3%, 61.5% patients, respectively. The estimated OS was 50.0 months. Tomita's scores (P = 0.355) and Tokuhashi's scores (P = 0.461) showed no significant OS association. Univariate analysis indicated that preoperative neurological dysfunction (P = 0.003), postoperative neurological dysfunction (P = 0.051), adjuvant endocrine therapy (P = 0.025), and hormone receptor expression status (P = 0.009) were associated with patient survival. Multivariate analysis identified endocrine therapy as an independent protective factor for prognosis (aHR = 0.070, 95% CI 0.007-0.727, P = 0.026).

CONCLUSIONS

Patients with BCSM have experienced prolonged survival. Neurological status, adjuvant anti-drugs, and expression of hormone receptors played crucial roles in predicting survival. Conventional prognostic systems may require modification to incorporate these factors. However, this study has limitations inherent to its retrospective design, single-center cohort, and relatively small sample size, which may affect generalizability.

Predicting Survival Outcomes in Renal Cell Carcinoma Spinal Metastases: A Multicenter Evaluation of Existing Prognostic Systems

BACKGROUND CONTEXT

Survival prediction models for patients with spinal metastases are crucial for guiding clinical decision-making and optimizing treatment strategies. Renal cell carcinoma (RCC) spinal metastases (RCC-SM) present unique challenges due to their distinct biological behavior and variable response to systemic therapies.

PURPOSE

To externally validate existing prognostic scoring systems for predicting survival in patients with RCC-SM using multicenter data from China.

STUDY DESIGN

Retrospective external validation study.

PATIENT SAMPLE

103 patients with RCC-SM who underwent surgical treatment at three specialized spine oncology centers in China between 2015 and 2023.

OUTCOME MEASURES

Survival at 90 days, 180 days, and 1 year post-surgery, assessed using area under the curve (AUC), calibration intercept and slope, and Brier scores.

METHODS

Six prognostic scoring systems were evaluated, including Tomita, revised Tokuhashi, revised Katagiri, New England Spinal Metastasis Score (NESMS), Skeletal Oncology Research Group (SORG) nomogram, and SORG machine learning (ML) model. Discrimination and calibration were assessed using ROC curves, calibration plots, and Brier scores. Cox regression identified independent prognostic factors. The study was funded by Henan Province Key Science and Technology Project (252102311081). A total amount of RMB 20,000 ($2,740) was received.

RESULTS

SORG ML demonstrated the highest discriminative ability for 90-day survival (AUC: 0.765), while revised Tokuhashi performed best for 180-day survival (AUC: 0.754), and revised Katagiri for 1-year survival (AUC: 0.806). However, all models exhibited underestimation of survival probabilities, particularly in high-risk subgroups. Independent prognostic factors included ASIA grade, visceral metastases, preoperative systemic therapy, preoperative radiotherapy, and neutrophil-to-lymphocyte ratio (NLR).

CONCLUSIONS

Existing prognostic models for RCC-SM show varying predictive accuracy, with SORG ML and revised Katagiri performing best for short- and long-term survival, respectively. However, recalibration is needed to address underestimation, particularly in East Asian populations. Future models should incorporate dynamic treatment responses and molecular biomarkers to improve predictive accuracy and clinical utility.

Survival and Prognostic Factors After Surgery in Single Spinal Metastasis: Comparison of Isolated-Single Spinal Metastasis and Single Spinal Metastasis With Other Metastasis

Study DesignRetrospective cohort study.ObjectivesThis study aimed to evaluate the survival period in patients with a single spinal metastasis (SSM), subsequently comparing those with isolated-single spinal metastasis (I-SSM) and single spinal metastasis with other metastasis (O-SSM) after surgery, and to identify prognostic factors affecting their survival.MethodsA total of 135 patients were included, with 24 patients in the I-SSM group and 111 in the O-SSM group. Survival analysis was utilized to assess the survival of SSM patients, followed by a comparison of survival rates between the two groups. Univariate and multivariate analyses were conducted to identify significant prognostic factors for survival.ResultsThe overall median survival period for patients with single spinal metastasis (SSM) was 10.2 ± 1.8 months. Specifically, the median survival was 15.7 ± 5.7 months in the I-SSM group and 10.2 ± 1.5 months in the O-SSM group. The difference in survival periods between the two groups was not statistically significant (P = 0.345). Significant independent prognostic factors for survival included preoperative Karnofsky Performance Status (KPS) of 50 - 70 (OR 0.51, P = 0.017) and 80 - 100 (OR 0.46, P = 0.012), postoperative ambulatory status (OR 1.19, P = 0.028), and primary malignancy site [Group B (OR 2.67, P = 0.021), Group C (OR 2.90, P = 0.016)].ConclusionsPatients with SSM have a median survival of 10.2 months, with no significant difference in postoperative survival between the I-SSM and O-SSM groups. Significant prognostic factors influencing the survival period after surgery include preoperative KPS, postoperative ambulatory status, and the primary malignancy site.

Impact of surgical treatment on patient reported outcome in patients with spinal metastases from prostate cancer

OBJECTIVE

This study aimed to elucidate postoperative outcomes in patients with spinal metastases of prostate cancer, with a focus on patient-oriented assessments.

METHODS

This was a prospective multicenter registry study involving 35 centers. A total of 413 patients enrolled in the Japanese Association for Spine Surgery and Oncology Multicenter Prospective Study of Surgery for Metastatic Spinal Tumors were evaluated for inclusion. The eligible patients were followed for at least 1 year after surgery. The Frankel Classification, Eastern Cooperative Oncology Group Performance Status, visual analog scale for pain, face scale, Barthel Index, vitality index, indications for oral pain medication, and the EQ-5D-5L questionnaire were used for evaluating functional status, activities of daily living, and patient motivation.

RESULTS

Of the 413 eligible patients, 41 with primary prostate cancer were included in the study. The patient-oriented assessments indicated that the patients experienced postoperative improvements in quality of life and motivation in most items, with the improvements extending for up to 6 months. More than half of the patients with Frankel classifications B or C showed improved neurological function at 1 month after surgery, and most patients presented maintained or improved their classification at 6 months.

CONCLUSION

Surgical intervention for spinal metastases of prostate cancer significantly improved neurological function, quality of life, and motivation of the patients. Consequently, our results support the validity of surgical intervention for improving the neurological function and overall well-being of patients with spinal metastases of prostate cancer.

Predictors of ambulation recovery after surgery in patients with metastatic spinal cord compression who lost walking ability for more than 48 h

PURPOSE

We aimed to identify predictors of ambulation recovery in patients who lost their ability to walk for more than 48 h due to metastatic spinal cord compression (MSCC).

METHODS

This was a retrospective cohort study of 121 patients with MSCC who underwent surgery. The primary outcome variable was postoperative ambulatory status. The secondary outcome variable was postoperative survival in relation to restored ambulation. Age, primary tumor grade, MSCC anatomical location, Karnofsky performance status (KPS), Charlson comorbidity index, neurological deterioration speed, MSCC grade according to the epidural spinal cord compression scale, anal sphincter tonus and hip flexion strength before surgery, and postoperative complications were analyzed as predictive variables.

RESULTS

One month after surgery, ambulation was restored in 61 of the 111 patients (55%), 10 patients died within one month after surgery. Primary tumor grade (p = 0.03), hip flexion strength before surgery (p < 0.001), and postoperative complications (p = 0.001) were associated with ambulation recovery. The accuracy of hip flexion strength as a predictor was analyzed with a receiver operating characteristic (ROC) curve, with an area under the curve of 0.74 (p < 0.001). The median postoperative survival of patients who regained ambulation was 16 months, whereas that of patients who lost walking ability was 5 months (p = 0.004). According to the multiple Cox regression model, KPS (p < 0.001) and ambulation after surgery (p = 0.027) were predictors of postoperative survival.

CONCLUSIONS

Primary tumor grade, hip flexion strength before surgery, and surgical complications affect neurological recovery in MSCC patients who had lost their ability to walk for more than 48 h.

Novel Predictive Scoring System for Bone Union Rate After Conservative Management of Lumbar Spondylolysis

STUDY DESIGN

A single-center retrospective cohort study.

OBJECTIVES

To develop a predictive scoring system for bone union after conservative treatment of lumbar spondylolysis and assess its internal validity.

SUMMARY OF BACKGROUND DATA

Lumbar spondylolysis, a common stress fracture in young athletes, is typically treated conservatively. Predicting bone union rates remains a challenge.

METHODS

This study included patients aged 18 years or younger with lumbar spondylolysis undergoing conservative treatment. A multivariable logistic regression analysis was used to develop a scoring system containing 6 factors: sex, age, lesion level, main side stage of the lesion, contralateral side stage of the lesion, and spina bifida occulta. The predictive scoring system was internally validated from the receiver operating characteristic (ROC) curve using bootstrap methods.

RESULTS

The final analysis included 301 patients with 416 lesions, with an overall bone union rate of 80%. On multivariable analysis, the main and contralateral stages were identified as factors associated with bone union. The predictive scoring system was developed from the main side stage score (prelysis, early=0, progressive stage=1) and the contralateral side stage score (none=0, prelysis, early, progressive stage=1, terminal stage=3). The area under the curve was 0.855 (95% confidence interval, 0.811-0.896) for the ROC curve, showing good internal validity. The predicted bone union rates were generally consistent with the actual rates.

CONCLUSIONS

A simple predictive scoring system was developed for bone union after conservative treatment of lumbar spondylolysis, based on the stage of the lesion on the main and contralateral sides. The predicted bone union rate was ~90% for a total score of 0-1 and ≤30% for a score of 3-4. This system demonstrated good internal validity, suggesting its potential as a useful tool in clinical decision-making for the management of spondylolysis.

MicroRNA dysregulation and target genes in common spinal tumors

Spinal tumors, although rare, pose significant challenges in diagnosis and treatment due to their complex biological behavior and the variety of tumor types involved. MicroRNAs (miRNAs), small non-coding RNA molecules, have emerged as critical regulators of gene expression and play dual roles as oncogenes or tumor suppressors, depending on their target genes. This review comprehensively examines the role of miRNAs in the pathogenesis and progression of common spinal tumors, including ependymoma, astrocytoma, meningioma, and metastasis, based on existing studies using both human and in vitro models. Several miRNAs have been identified as dysregulated in these tumor types, influencing key cellular processes such as proliferation, migration, and apoptosis. The potential of miRNAs as diagnostic, prognostic, and therapeutic biomarkers is explored, highlighting their value in guiding personalized treatment approaches. Although promising, these findings require further validation to fully understand miRNA-mediated mechanisms and translate these insights into clinical applications. MiRNA-targeted therapies offer a promising avenue for improving patient outcomes in spinal tumor management.

Spinal manifestations of diffuse large B-cell lymphoma

BACKGROUND CONTEXT

Spinal diffuse large B-cell lymphoma (DLBCL) can be divided into 2 categories: primary non-Hodgkin's lymphoma (PNHL) and metastases from disseminated DLBCL. Prognostic factors of spinal DLBCL metastases seem to differ from those of other spine metastases and PNHL, although the data in the literature remains scarce.

PURPOSE

This study aims at investigating prognostic factors associated with overall survival (OS) in patients with spine DLBCL metastases.

STUDY DESIGN

A retrospective study.

PATIENT SAMPLE

371 patients treated for DLBCL, including 62 cases of spine DLBCL metastases.

OUTCOME MEASURES

Patient demographics were collected with survival.

METHODS

This study is based on consecutive prospective population of, between January 2015 and 2019.

RESULTS

The median age of the 371 patients was 68.4 years (range 19.1-94.0 years) and 58.8% were males (218 patients). The median OS for our whole series was 82.06 months (SD 11.2.), and 53.0 months (SD 41.2, p=.622) for the 62 patients with spine DLBCL metastases. The mean duration between DLBCL diagnosis and development of spine metastases (SpM) was 9.0 months (range 0.0-160.8 months). Cox multivariate proportional hazard model identified ECOG <2 [HR: 0.O59, 95 % CI 0.019-0.075; p<.0001], age <40 years [HR: 0.206, 95 % CI 0.08-0.506; p=.001], and IPI score ≤2 [HR: 0.472, 95 % CI 0.03-2.104; p=.001] as predictors of longer survival. In contrast, age >80 years [HR: 2.198, 95 % CI 1.481-3.261; p<.0001], IPI score >4 [HR: 3.232, 95 % CI 1.765-4.654; p=.008] were independent poor prognostic factors of survival.

CONCLUSION

Spinal lesions in DLBCL are metastatic in nature whereas spine PNHL, similar to multiple myeloma, appears to be a primary spinal malignancy. The main prognostic factors of DLBCL spine metastases are those of the primary disease itself, and should be considered before spinal surgery.

Modified Standard Total en bloc Spondylectomy for Solitary Thoracic or Lumbar Spinal Metastasis: A 1-Stage Posterior Approach Under Direct Visualization

BACKGROUND

Solitary spinal metastasis (SM) is one of the indications for total en bloc spondylectomy (TES). Conventional TES carries the risk of damage to the great vessels anterior to the vertebral column, mainly because of a lack of visualization of the anterior structures. In this study, we devised a modified standard TES technique to achieve direct visualization in a 1-stage posterior approach.

METHODS

Included in this study were patients ≥18 years old with solitary thoracic or lumbar SM who underwent the modified standard TES at our institution between January 2017 and October 2022. Patient data were retrospectively sourced from medical records, and patients had a minimum of 3 months of postoperative follow-up.

RESULTS

This study involved 71 East Asian patients (median age, 57 years; 34 males), comprising 38 patients with thoracic SM and 33 with lumbar SM. Lung cancer was the most common tumor histology. Fourteen patients (19.7%) experienced intraoperative complications; pleural rupture was the predominant complication, and there were no cases of injury to the spinal cord or great vessels. The median operative time was 305 minutes (range, 203 to 660 minutes). The median intraoperative blood loss was 1,000 mL (range, 400 to 4,000 mL). The median perioperative blood transfusion was 4 units (range, 0 to 12 units), and the median hospitalization duration was 17 days (range, 14 to 29 days). Additionally, 27 patients (38.0%) had acute (perioperative) complications. Seven patients were lost to follow-up. Significant clinical improvement was achieved 3 months postoperatively. Postoperative early and late complications were observed in 5 patients. Of the 64 patients with completed follow-up, 47 (73.4%) had negative surgical margins, and none received postoperative radiation therapy. Revision surgery for local tumor recurrence was performed in 4.7% of patients. The median follow-up was 31.5 months (range, 3 to 81 months).

CONCLUSIONS

Our modified standard TES was demonstrated to be a safe and effective surgical technique for solitary thoracolumbar SM.

LEVEL OF EVIDENCE

Therapeutic Level IV . See Instructions for Authors for a complete description of levels of evidence.

Six-Month Survivorship Prediction in Spinal Metastatic Patients by Oncologists Shows Reliable Prognostication

STUDY DESIGN

A retrospective analysis of oncologist-provided prognoses vs actual survival outcomes of patients referred with Metastatic spinal cord compression (MSCC) to a supra-regional multidisciplinary team (MDT).

OBJECTIVES

Prognostic scoring systems, such as the revised Tokuhashi, are commonly used to help guide the treatment of MSCC. However, scoring systems do not accommodate for the improved outcomes of contemporary cancer therapy. Oncologist-provided prognoses play an important role in real world rapid decision making. There is a paucity of evidence assessing the accuracy of the oncologist-provided prognosis. We conducted a retrospective study to evaluate this.

METHODS

Data was captured between January 2015 and December 2018. Patients were split into 2 groups: Group 1 (prognosis estimated <6 months) and Group 2 (prognosis estimated >6 months). Median overall survival (mOS) and hazard ratio for death (HR) was assessed. Receiver operating characteristic (ROC) analysis was performed to assess the accuracy of the oncologist's prognosis.

RESULTS

829 patients were included. mOS in Group 1 was 5.8 months (95% CI 4.2-7.4 m), and in Group 2 mOS was not reached. Log rank test gave a Chi2 of 131 (P < .001). Cox regression analysis revealed a HR of .30 (P < .001). Area under the ROC curve was 78%.

CONCLUSIONS

Oncologist-provided prognosis is accurate in this cohort of unselected, consecutive MSCC patients. It reduced reliance on scoring systems that can become outdated. Given the rapid progress in cancer treatment, the oncologist's prognostic prediction is integral in efficient and effective MSCC management to help rapidly determine surgical candidacy.

Preoperative prediction of postoperative needs after spinal tumor surgery

INTRODUCTION

Spinal oncology care is challenging and resource-intensive. Unfortunately, there are few validated preoperative clinical tools to accurately predict postoperative healthcare needs. The Risk Assessment and Prediction Tool (RAPT) assesses current walking capacity, use of gait aids, home support, and reliance on community support. We aim to assess the utility of the RAPT in predicting discharge disposition for patients undergoing spinal tumor surgery.

METHODS

RAPT was administered preoperatively to consecutive patients (n = 389) undergoing spinal tumor resection from 2017 to 2024 at an academic medical center. Logistic regression analysis was used to associate the total RAPT score, and its subcomponents, with non-home discharge. Secondary outcomes included intraoperative complications, length of stay, 30- and 90-day Emergency Department (ED) visits, readmissions, reoperations, and mortality.

RESULTS

A higher RAPT score was associated with significantly increased odds of home discharge (p < 0.0001, OR=1.484) and reduced risk of 30-day ED visits (p = 0.0151, OR=0.834). There was no correlation between preoperative RAPT score and intraoperative complications, length of stay, readmission, or reoperation. Improved RAPT subscore for baseline walking ability was able to predict home discharge (p = 0.0001, OR=2.865), fewer 30-day ED visits (p = 0.0422, OR=0.622), and reduced 90-day mortality (p = 0.0008, OR= 0.456). Furthermore, preoperative ambulation without gait assistance was also correlated with increased home discharge (p = 0.0001, OR=2.778) and decreased 30-day ED visits (p = 0.0291, OR=0.622).

CONCLUSION

RAPT score and its subcomponents are highly predictive and specific tools for discharge disposition in the spinal oncology population. Implementation of this simple questionnaire can help surgeons identify high-risk patients preoperatively and design risk mitigation strategies.

Developmental and Validation of Machine Learning Model for Prediction Complication After Cervical Spine Metastases Surgery

STUDY DESIGN

This is a retrospective cohort study utilizing machine learning to predict postoperative complications in cervical spine metastases surgery.

OBJECTIVES

The main objective is to develop a machine learning model that accurately predicts complications following cervical spine metastases surgery.

SUMMARY OF BACKGROUND DATA

Cervical spine metastases surgery can enhance quality of life but carries a risk of complications influenced by various factors. Existing scoring systems may not include all predictive factors. Machine learning offers the potential for a more accurate predictive model by analyzing a broader range of variables.

METHODS

Data from January 2012 to December 2020 were retrospectively collected from medical databases. Predictive models were developed using Gradient Boosting, Logistic Regression, and Decision Tree Classifier algorithms. Variables included patient demographics, disease characteristics, and laboratory investigations. SMOTE was used to balance the dataset, and the models were assessed using AUC, F1-score, precision, recall, and SHAP values.

RESULTS

The study included 72 patients, with a 29.17% postoperative complication rate. The Gradient Boosting model had the best performance with an AUC of 0.94, indicating excellent predictive capability. Albumin level, platelet count, and tumor histology were identified as top predictors of complications.

CONCLUSIONS

The Gradient Boosting machine learning model showed superior performance in predicting postoperative complications in cervical spine metastases surgery. With continuous data updating and model training, machine learning can become a vital tool in clinical decision-making, potentially improving patient outcomes.

LEVEL OF EVIDENCE

Level III.

Outcome prediction, quality of life, and life expectancy in metastatic spine tumors: WFNS spine committee recommendation

This review aimed to formulate the most current, evidence-based recommendations for the prediction of outcome, life expectancy, and quality of life in patients with metastatic vertebral tumors. A systematic literature search on PubMed and Google Scholar from 2012-2022 was done, using the keywords "metastatic vertebral tumors + outcome prediction + prognoses," "quality of life + spine metastases," and "spine metastases + life expectancy." Our PubMed search yielded 402 articles for outcome prediction, whereas 40 articles were identified for life expectancy in spine metastases. These were carefully screened by the co-authors, resulting in 61 and 11 final articles analyzed for this study. Our PubMed search for quality of life yielded 137 articles, of which 63 were carefully analyzed for this study. This up-to-date information was reviewed at two separate Spine Committee meetings of the World Federation of Neurosurgical Societies (WFNS). Two rounds of the Delphi method were used to vote and arrive at a positive or negative consensus. The WFNS Spine Committee finalized seven recommendation guidelines on the prediction of outcome, life expectancy, and quality of life in metastatic vertebral tumors. Irrespective of the primary tumor, surgical decompression in appropriately selected patients potentially improves the quality of life. Pre-operative ambulatory status, overall performance, and age are independent predictors of outcome and overall survival. Prognostic scoring systems have evolved to principle-based algorithms, amongst which NOMS is the most widely used.The best tools to measure the quality of life are EUQOL5-D and SOSGOQ in patients with metastatic spine disease.

Incorporation of whole-body metabolic tumor burden into current prognostic models for nonsmall cell lung cancer patients with spine metastasis

BACKGROUND CONTEXT

Numerous prognostic models are utilized for surgical decision and prognostication in metastatic spine tumors. However, these models often fail to consider the whole-body tumor burden into account, which may be crucial for the prognosis of metastatic cancers. A potential surrogate marker for tumor burden, whole-body metabolic tumor burden (wMTB), can be calculated from total lesion glycolysis (TLG) obtained from 18F-Fludeoxyglucose positive emission tomography (18F-FDG PET) images.

PURPOSE

We aimed to improve prognostic power of current models by incorporating wMTB for nonsmall cell lung cancer (NSCLC) patients with spine metastases.

DESIGN

Retrospective analysis using a review of electrical medical records and survival data.

PATIENT SAMPLE

In this study, we included 74 NSCLC patients with image proven spine metastases.

OUTCOME MEASURES

Increase in Integrated Discrimination Improvement (IDI) index after incorporation of wMTB into prognostic scores.

METHODS

Enrolled patients' baseline data, cancer characteristics and survival status were retrospectively collected. Five widely used prognostic scores (Tomita, Katagiri, Tokuhashi, Global Spine Tumor Study Group [GSTSG], New England Spine Metastasis Score [NESMS]), and TLG indexes were calculated for all patients. The relationships among survival time, prognostic models and TLG values were analyzed. Improvement of prognostic power was validated by incorporating significant TLG index into significant current models.

RESULTS

Among current prognostic models, Tomita (EGFR wild-type), Katagiri, GSTSG and Tokuhashi were significantly related to patient survival. Among TLG indexes, LogTLG3 was significantly related to survival. Incorporation of LogTLG3 into significant prognostic models resulted in positive IDI index until 3 years in all models.

CONCLUSIONS

This study showed that incorporation of wMTB improved prognostic power of current prognostic models of metastatic spine tumors.

External validation of twelve existing survival prediction models for patients with spinal metastases

BACKGROUND CONTEXT

Survival prediction models for patients with spinal metastases may inform patients and clinicians in shared decision-making.

PURPOSE

To externally validate all existing survival prediction models for patients with spinal metastases.

DESIGN

Prospective cohort study using retrospective data.

PATIENT SAMPLE

953 patients.

OUTCOME MEASURES

Survival in months, area under the curve (AUC), and calibration intercept and slope.

METHOD

This study included patients with spinal metastases referred to a single tertiary referral center between 2016 and 2021. Twelve models for predicting 3, 6, and 12-month survival were externally validated Bollen, Mizumoto, Modified Bauer, New England Spinal Metastasis Score, Original Bauer, Oswestry Spinal Risk Index (OSRI), PathFx, Revised Katagiri, Revised Tokuhashi, Skeletal Oncology Research Group Machine Learning Algorithm (SORG-MLA), Tomita, and Van der Linden. Discrimination was assessed using (AUC) and calibration using the intercept and slope. Calibration was considered appropriate if calibration measures were close to their ideal values with narrow confidence intervals.

RESULTS

In total, 953 patients were included. Survival was 76.4% at 3 months (728/953), 62.2% at 6 months (593/953), and 50.3% at 12 months (479/953). Revised Katagiri yielded AUCs of 0.79 (95% CI, 0.76-0.82) to 0.81 (95% CI, 0.79-0.84), Bollen yielded AUCs of 0.76 (95% CI, 0.73-0.80) to 0.77 (95% CI, 0.75-0.80), and OSRI yielded AUCs of 0.75 (95% CI, 0.72-0.78) to 0.77 (95% CI, 0.74-0.79). The other 9 prediction models yielded AUCs ranging from 0.59 (95% CI, 0.55-0.63) to 0.76 (95% CI, 0.74-0.79). None of the twelve models yielded appropriate calibration.

CONCLUSIONS

Twelve survival prediction models for patients with spinal metastases yielded poor to fair discrimination and poor calibration. Survival prediction models may inform decision-making in patients with spinal metastases, provided that recalibration using recent patient data is performed.

Spinal metastases at the thoracolumbar junction - Influencing factors for surgical decision-making according to a multicentric registry

Introduction

Spinal metastases at the thoracolumbar junction (TLJ) pose a significant risk for spinal instability and necessitate special considerations regarding surgical management. Longer patient survival due to improved oncologic therapies may justify extensive instrumented surgery.

Research question

The aim of this study was to analyze the standard of care in a large multicentric cohort of patients with TLJ metastases regarding surgical decision-making, management, and associated morbidity.

Material and methods

Patients with surgically treated spinal metastases at the TLJ between 2010 and 2022 were enrolled at five academic tertiary spine centers. Epidemiological, surgical, clinical, and outcome data was assessed retrospectively. Surgical management was sorted according to three groups: decompression ( i ), decompression and posterior instrumentation ( ii ), and decompression and 360° instrumentation with vertebral body replacement ( iii ). Sole biopsies or kypho-/vertebroplasties were excluded.

Results

The inclusion criteria was met by 396 patients, of which 59 (15%) were treated with decompression ( i ), 235 (59%) with posterior instrumentation ( ii ), and 102 (26%) with additional vertebral body replacement ( iii ). The main factor for selection towards instrumentation was a higher SINS score (SINS 9 in ii , 10 in iii vs. 7 in i , p < 0.0001). Surgical complications occurred in 55 cases (14%), slightly more frequent following instrumentations (15% ii, iii vs. 8% i , p = 0.427). Reoperations were necessary in 65 cases (16%), mostly due to SSI (n = 19, 29%), local recurrence (n = 15, 23%), and hardware failure (HWF) during follow-up (n = 9, 18%, i-iii , p = 0.7853). HWF occurred significantly more frequent in cases with multisegmental metastases at the TLJ (p = 0.0002) which were treated with longer constructs (p = 0.0092). Median postoperative survival was 10 months. The occurrence of complications reduced postoperative survival drastically in all groups (p = 0.0023).

Discussion and conclusion

In this large multicentric patient cohort with TLJ metastases, the majority of patients (85%) were treated with instrumented spine surgery. The main factor for patient selection towards instrumented surgery was a higher SINS score. Long instrumentations for multisegmental disease at the TLJ were identified with higher risk for hardware-failure during follow-up. In those patients, frequent follow-up imaging is warranted. As postoperative survival is drastically reduced by the occurrence of postoperative complications, it is imperative to carefully select the individually appropriate extent of surgery in order to avoid postoperative complications.

Frontline Voice: AO Spine Member Survey Regarding Spine Oncology Knowledge Generation and Translation Needs

STUDY DESIGN

cross-sectional survey.

OBJECTIVES

To evaluate AO Spine members' practices and comfort in managing metastatic and primary spine tumors, explore the use of decision-support and patient assessment tools, and identify knowledge gaps and future needs in spine oncology.

METHODS

An online survey was distributed to AO Spine members to query comfort levels with key decisions in spinal oncology management, utilization of decision frameworks and spine oncology-specific instruments, and educational material preferences.

RESULTS

Responses were obtained from 381 members across 82 countries. Most respondents were orthopedic spine surgeons (62%) or neurosurgeons (36%), with 42% performing 100-200 spine surgeries per year. Extradural primary and metastatic tumors were managed by 84% and 95% of respondents, respectively, with survival and frailty assessment tools used for both. While most surgeons felt comfortable determining when emergency surgery was needed (81% for primary and 82% for metastatic tumors), nuanced decisions about surgical timing were more challenging. Surgeons also noted challenges in tailoring the oncologic surgical plan to what the patient could safely tolerate. There was a strong desire for guidelines on tumor-related spinal pain (85%), treatment timing (85%), stabilization (85%), and glucocorticoid use for symptomatic extradural metastatic tumors (77%). Interest was high for classification systems for spine tumor pain (65%) and stabilization decisions (80%).

CONCLUSIONS

Additional support is needed in decision-making regarding surgical timing, patient selection, and tailoring treatment invasiveness to life expectancy and frailty. Surgeons seek further guidance to prevent neurologic deterioration and optimize recovery. Guidelines and classification systems were highly coveted for daily practice.

Preoperative prediction of early mortality after surgery for spinal metastases

OBJECTIVE

The objective of this study was to provide a convenient preoperative prediction of the risk of early postoperative mortality.

MATERIALS AND METHODS

This retrospective study included patients who underwent surgery for spinal metastasis at our hospital between 2009 and 2021. Preoperative blood test data of all patients were collected, and the survival time was calculated by dividing the blood data. A multivariate analysis was conducted using a Cox proportional hazards model to identify prognostic factors.

RESULTS

The study population included 83 patients (average: 64.5 years), 22 of whom died within 3 months. The most common lesion was the thoracic spine, and incomplete paralysis was observed in 57 patients. The surgical methods included posterior implant fixation (n = 17), posterior decompression (n = 31), and posterior decompression with fixation (n = 35). In the univariate analysis, the presence of abnormal values was significantly associated with postoperative survival in six preoperative blood collection items (hemoglobin, C-reactive protein, albumin, white blood cell, gamma-glutamyl transpeptidase, and lactate dehydrogenase). In a multivariate analysis, four test items (hemoglobin, C-reactive protein, white blood cell, and lactate dehydrogenase) were identified as independent prognostic factors.Comparing cases with ≥3 abnormal values among the above four items (high-risk group; n = 23) and those with ≤2 (low-risk group; n = 60), there was a significant difference in survival time. In addition, it was possible to predict cases of early death within 3 months after surgery with 73% sensitivity and 89% specificity.

CONCLUSIONS

The study showed that four preoperative blood test abnormalities (hemoglobin, C-reactive protein white blood cell, and lactate dehydrogenase) indicated the possibility of early death within 3 months after surgery.

Advanced Radiotherapy Technologies in Spine Tumors: What the Surgeon Needs to Know

STUDY DESIGN

Narrative review of existing literature.

OBJECTIVES

Significant technological advancements in radiotherapy planning and delivery have enabled new radiotherapy techniques for the management of spine tumors. The objective of this study was to provide a comprehensive summary of these treatment techniques for practicing spine surgeons.

METHODS

A narrative review of the existing literature on stereotactic body radiation therapy (SBRT) and particle beam therapy (PBT) for the treatment of spine tumors was performed. The characteristics, implementation and evidence supporting these strategies in the management of primary spinal neoplasms were summarized.

RESULTS

The clinical effectiveness of SBRT for the control and symptom palliation of metastatic spinal tumors are well demonstrated in multiple clinical trials. Risks such as fracture, radiculopathy and plexopathy exist after spine SBRT, necessitating an individualized approach in a well experienced multidisciplinary setting. SBRT should be considered a key component of a well-rounded treatment plan for metastatic spine tumors in combination with surgery, vertebral augmentation, and drug therapy, where indicated, to achieve optimal patient outcomes. Additionally, PBT and SBRT are also leading to promising results for primary spine tumors, though comparative effectiveness studies and prospective clinical trials are required to establish these modalities more formally as alternatives to conventionally fractionated photon radiotherapy.

CONCLUSIONS

SBRT and PBT are emerging as effective and well tolerated treatment options for primary and metastatic spine tumors. Additional investigation is needed to personalize these treatment options and further strengthen these approaches as key components in a multidisciplinary approach to the management of spinal neoplasms.

Which Prognostic Model Best Predicts Poor Prognosis in Patients with Spinal Metastases? A Comparative Analysis of 8 Scoring Systems

BACKGROUND

Existing scoring system's comparative effectiveness in identifying patients with poor prognosis (i.e., <6 months survival) has not been thoroughly explored.

METHODS

We compared the predictive performance of 8 prognostic scoring systems (Tomita, modified Tokuhashi, modified Bauer, Rades, Oncological Spinal Prognostic Index, Lei, New England Spinal Metastasis Score, and the skeletal oncology research group [SORG] nomogram) with the area under the curve (AUC) from receiver operating characteristic curves and evaluated the predictive accuracy for 6-month survival across different primary tumor origins, and 1-month survival. Logistic regression was used to identify factors associated with 6-month survival.

RESULTS

Six hundred forty one patients with spinal metastasis treated between 1994 and 2022 were included. The SORG nomogram showed best performance with low discriminative power in predicting 6-month survival (AUC [95% confidence interval {CI}]: 0.664 [0.584-0.744]). Logistic regression analysis identified significant factors influencing 6-month survival, including primary cancer type in Lei's classification, preoperative Frankel grades C and D, or grades A and B compared with grade E, preoperative white blood cell, preoperative albumin, and preoperative chemotherapy. For 1-month survival predictions, both the SORG nomogram (AUC [95% CI]: 0.750 [0.648-0.851]) and modified Tokuhashi score (AUC [95% CI]: 0.667 [0.552-0.781]) showed significance, albeit with moderate to low discriminative power.

CONCLUSIONS

This study shows that most scoring systems have low discriminative power, with only the SORG nomogram having moderate power for predicting poor prognosis. Recent and future advances in treatment, laboratory markers, and our understanding of tumor biology should be incorporated into prognostic models to improve their accuracy.

Determinants of Overall and Readmission-Free Survival in Patients with Metastatic Epidural Spinal Cord Compression

BACKGROUND

The aim of this study was to assess the surgical outcomes and survival of patients surgically treated for metastatic epidural spinal cord compression (MESCC), with a specific focus on identifying factors that influence overall survival and readmission-free survival.

METHODS

All patients who underwent surgery for spine metastases at our department in the period 2018-2022 were included in the study.

RESULTS

A total of 175 patients (n = 71 females, median age 67.15 years) were included. The most common primary tumors were lung carcinoma (n = 31), prostate carcinoma (n = 31), breast carcinoma (n = 28), multiple myeloma (n = 25), and renal cell carcinoma (n = 11). ECOG performance status was 0 (n = 7), 1 (n = 97), 2 (n = 27), 3 (n = 17), and 4 (n = 27). Pathological fractures were present in n = 108 patients. Decompression only was performed in n = 42, additional instrumentation in n = 133, and vertebral body replacement in n = 23. The most common complications were wound healing deficits and hardware failure. Preoperative motor deficits were present in n = 89 patients. Postoperatively, n = 122 improved, n = 43 was unchanged, and n = 10 deteriorated. Mean overall survival (OS) was 239.2 days, with a 30-day mortality rate of 18.3%. Favorable prognostic factors included Tomita score < 7, Frankel score A-C, ECOG 0-1, and Modified Tokuhashi score > 10 (p < 0.01). Factors affecting OS and readmission-free survival (RFS) included prognostic scores, adjuvant therapy, ASA classification, surgical complications, metastasis number, and postoperative improvement. Better prognostic scores, adjuvant therapy, and clinical improvement were associated with longer OS and RFS, while complications or deterioration resulted in worse outcomes.

CONCLUSIONS

Patients undergoing decompression and/or stabilization for metastatic spinal tumors showed improved outcomes, with favorable prognosis linked to Tomita score < 7, Frankel score A-C, ECOG 0-1, and Modified Tokuhashi score > 10.

What are the factors contributing to symptomatic local recurrence in metastatic spinal cord compression after surgery?

BACKGROUND

Risk factors for local recurrence in patients with metastatic spinal cord compression (MSCC) has not been clearly investigated. So, the purpose of this study was to identify risk factors causing local recurrence following surgeries in patients with MSCC.

METHODS

We conducted a retrospective comparative study on 304 patients who underwent surgery for MSCC between March 2014 and February 2020. Local recurrence rate (LRR) was analyzed according to demographic variables, radiological variables such as level of spinal metastasis, number of non-spinal bone metastases, degree of spinal cord compression, spinal instability, and pathological fracture, and treatment-related variables such as origin of tumor, surgical treatment methods, and pre- and post- operative radiation therapy. Univariate and multivariate logistic regression analyses were performed to reveal the risk factors for local recurrence.

RESULTS

Among 304 patients with MSCC, 50 patients (16.4%) experienced local recurrence after surgery. Of the surgical methods, decompression alone (26/50, 52.0%) showed higher LRR compared to decompression with fixation (9/177, 5.1%) or corpectomy (11/89, 12.4%), (P = 0.002 and P = 0.018, respectively). Patients with renal cell carcinoma revealed higher LRR compared to other types (P = 0.014). It was found that the 3 or more level of spinal metastasis (P = 0.001), the 3 or more of extraspinal bone metastases (P = 0.028), and pathologic fracture (P = 0.003) were related with higher LRR. Smoking is also an independent risk factor for local recurrence in patients who underwent fixation (P = 0.026).

CONCLUSIONS

Symptomatic local recurrence may be influenced by several factors, including the extent of spinal and extraspinal bone metastasis, pathologic fractures, surgical approach, and tumor origin (RCC). These factors should be carefully considered by surgeons when evaluating the risk of symptomatic local recurrence after surgery.

Incidence, epidemiology, radiology, and classification of metastatic spine tumors: WFNS Spine Committee recommendations

Spinal metastasis (SMs) are the most encountered tumors of the spine. Their occurrence is expected roughly around one to two years after primary tumor diagnosis. Since the advent of Magnetic Resonance Imaging (MRI), this technology has been considered the gold standard for SMs diagnosis and characterization due to its precise ability to comprehend the rate of soft tissue compression/invasion (dural sac/nervous tissue), which is one of the main drivers of management strategies. Computed Tomography (CT) remains unbeatable when a detailed bony anatomy and instability assessment is searched. Nuclear medicine technologies may have a role in diagnosis when standard MR or CT study findings are inconclusive or when the extent of the systemic metastatic disease is studied. The main objective of this study is to offer an update on the epidemiology and radiology of spinal metastasis (SMs), endorsed by the WFNS Spine Committee. A systematic review of the literature of the last ten years gave 1531 results with "spine/spinal metastatic tumors/metastasis AND radiology OR imaging OR classification" as search strings in all fields, of which 56 papers were fully analyzed. The results were discussed and voted on in two consensus meetings of the WFNS (World Federation of Neurosurgical Societies) Spine Committee, reaching a positive or negative consensus using the Delphi method. The committee stated nine recommendations on two main topics: (1) Incidence and epidemiology of SMs; (2) Radiology and classifications of SMs.

Prospective Registration Study for Establishing Minimal Clinically Important Differences in Patients Undergoing Surgery for Spinal Metastases

STUDY DESIGN

Multicenter, prospective registry study.

OBJECTIVE

To clarify minimal clinically important differences (MCIDs) for surgical interventions for spinal metastases, thereby enhancing patient care by integrating quality of life assessments with clinical outcomes.

BACKGROUND

Despite its proven usefulness in degenerative spinal diseases and deformities, the MCID remains unexplored regarding surgery for spinal metastases.

PATIENTS AND METHODS

This study included 171 (out of 413) patients from the multicenter "Prospective Registration Study on Surgery for Metastatic Spinal Tumors" by the Japan Association of Spine Surgeons. These were evaluated preoperatively and at 6 months postoperatively using the Face Scale, EuroQol-5 Dimensions-5 Levels (EQ-5D-5L), including the Visual Analog Scale, and performance status. The MCIDs were calculated using an anchor-based method, classifying participants into the improved, unchanged, and deteriorated groups based on the Face Scale scores. Focusing on the improved and unchanged groups, the change in the EQ-5D-5L values from before to after treatment was analyzed, and the cutoff value with the highest sensitivity and specificity was determined as the MCID through receiver operating characteristic curve analysis. The validity of the MCIDs was evaluated using a distribution-based calculation method for patient-reported outcomes.

RESULTS

The improved, unchanged, and deteriorated groups comprised 121, 28, and 22 participants, respectively. The anchor-based MCIDs for the EQ-5D-5L index, EQ-Visual Analog Scale, and domains of mobility, self-care, usual activities, pain/discomfort, and anxiety/depression were 0.21, 15.50, 1.50, 0.50, 0.50, 0.50, and 0.50, respectively; the corresponding distribution-based MCIDs were 0.17, 15,99, 0.77, 0.80, 0.78, 0.60, and 0.70, respectively.

CONCLUSION

We identified MCIDs for surgical treatment of spinal metastases, providing benchmarks for future clinical research. By retrospectively examining whether the MCIDs are achieved, factors favoring their achievement and risks affecting them can be explored. This could aid in decisions on surgical candidacy and patient counseling.

LEVEL OF EVIDENCE

II.

Assessment of survival prediction after surgery in spinal metastases patients using the Global Spine Study Tumor Group (GSTSG) risk calculator; an external validation from a tertiary cancer hospital

PURPOSE

We aim to validate the Global Spine Tumor Study Group (GSTSG) score compared to previous prognostic scoring systems in spinal metastasis.

METHODS

We conducted a retrospective study from January 2013 to December 2022. The survival prediction was compared between the GSTSG, Tomita Score, Revised Tokuhashi Score, and Skeletal Oncology Research Group (SORG) Nomogram. Single-variable factors associated with survival rate were analyzed using univariate Cox regression and multivariable Cox proportional hazard model. Receiver operating characteristic was used for external validity analysis at 3, 6, 12, and 24 months. The overall survival rate was reported using the Kaplan-Meier survival curve.

RESULTS

248 spinal metastasis patients were included. The mean age was 59.23 ± 12.55 years. The mean duration of follow-up time was 470.29 ± 441.98 days. The external validity of GSTSG was the highest at all follow-up times (sufficiently accurate AUC > 0.7), which was about the same as SORG at 3 months (both AUC of GSTSG and SORG = 0.76) and higher than modified Tokuhashi and Tomita score at 12 months (AUC of GSTSG = 0.78, SORG = 0.71, Tomita = 0.64, and modified Tokuhashi = 0.61, respectively).

CONCLUSION

From our study, the Multivariate Cox regression analysis indicates that the significant factors related to survival rate are regular analgesic use of weak opioids, lung metastasis, and previous chemotherapy. Compared to other traditional spinal metastases prognostic scoring systems, GSTSG shows the highest AUC for external validity in all follow-up times up to 24 months.

Clinical Outcome of Single-Stage Posterior Decompression and Stabilisation for Spine Metastasis

Introduction

Surgical treatment for indicated spinal metastases cases is an option to improve patients' outcomes. Local data in analysing the potential of patients' improvement after surgical treatment are limited. We intend to review the clinical outcomes of surgeries performed for cancer patients who were diagnosed with spinal metastases. We aim to identify factors associated with improved spinal pain, neurological deficit and patient survival.

Material and Methods

The medical records of 51 patients who were diagnosed with thoracolumbar spinal metastatic tumour and underwent palliative single-stage posterior approach spinal surgery between June 2015 and June 2022 were recruited retrospectively. Patient demographic data, pre-operative and post-operative pain scores, neurological assessment and survival duration were collected from the medical records. Radiological findings were studied using respective imaging and reports.

Results

The mean age was 57.5 years, and the median survival was nine months after the surgical treatment. The post-operative pain improvements were statistically significant at two weeks (VAS improved from 5 to 2), and three months follow-up VAS was one (p<0.001 and p=0.009, respectively). At initial presentation, patients with a single-level spinal involvement had higher VAS compared to multiple spinal metastases (p=0.018). A total of 18 (35.3%) patients had improved one or more ASIA grades, of which eight (15.7%) of them had gain of ambulatory function (p<0.001). Twenty-seven (52.9%) patients were ambulatory post-operative. The slow growth type of primary carcinoma, post-operative ambulatory ability, and the absence of perioperative morbidity were factors associated with favourable survival duration (p=0.006, p<0.001 and p<0.001, respectively). Synchronous visceral metastases adversely affected the survival duration (p=0.008).

Conclusion

Single-stage posterior decompression and stabilisation improved the clinical outcomes of spinal pain and neurological deficit in metastatic spinal tumours. Type of primary tumour, visceral metastasis, perioperative morbidity, and post-operative ambulatory status significantly impact post-operative survival duration.

Separation Operation Followed by Stereotactic Radiotherapy in the Treatment of Spinal Metastasis From Hepatocellular Carcinoma: A Retrospective Cohort Study

STUDY DESIGN

Retrospective cohort study.

OBJECTIVE

Spinal metastasis from hepatocellular carcinoma is rapidly progressive and predisposes to spinal disability, cord compression and further neural injury, leading to poor prognosis. Currently, it is still challenging to look for a treatment strategy that can improve the quality of life of patients and even directly prolong the survival time. This study attempts to evaluate the clinical efficacy of separation operation combined with postoperative stereotactic radiotherapy (SRT/SRS) in the treatment of hepatocellular carcinoma patients developing spinal metastasis and epidural spinal cord compression.

METHODS

Patients with metastases spinal cord compression from hepatocellular carcinoma were studied retrospectively and divided into two groups, the SO group (who undergo separation operations combined with postoperative SRS, n = 32) and RT group (who received only SRS, n = 28). The visual Analogue Scale (VAS) pain score, Frankel grade, Karnofsky performance score, and Quality of Life (SF-36) score were comparatively analyzed between the two groups.

RESULTS

Significantly higher VAS pain scores, Frankel grades, Karnofsky performance scores and Quality of Life (SF-36) scores were demonstrated in patients with combination treatment than in patients with SRS alone.

CONCLUSION

Separation operations are effective surgical procedure for the treatment of spinal metastatic tumor from hepatocellular carcinoma with spinal cord compression. The combination with postoperative SRS can significantly improve the quality of life in this patient population via spinal canal decompression and spinal stability reconstruction.

Biomechanical Effects of Different Prosthesis Types and Fixation Ranges in Multisegmental Total En Bloc Spondylectomy: A Finite Element Study

OBJECTIVE

Multi-segmental total en bloc spondylectomy (TES) gradually became more commonly used by clinicians. However, the choice of surgical strategy is unclear. This study aims to investigate the biomechanical performance of different prosthesis types and fixation ranges in multisegmental TES.

METHODS

In this study, a validated finite element model of T12-L2 post-spondylectomy operations were carried out. The prostheses of these models used either 3D-printed artificial vertebrae or titanium mesh cages. The fixed range was two or three segment levels. Range of motion, stress distribution of the endplate and internal fixation system, intervertebral disc pressure, and facet joint surface force of four postoperative models and intact model in flexion and extension, as well as lateral bending and rotation were analyzed and compared.

RESULTS

The type of prosthesis used in the anterior column reconstruction mainly affected the stress of the adjacent endplate and the prosthesis itself. The posterior fixation range had a greater influence on the overall range of motion (ROM), the ROM of the adjacent segment, the stress of the screw-rod system, and adjacent facet joint surface force. For the model of the same prosthesis, the increase of fixed length resulted in an obvious reduction of ROM. The maximal decrease was 70.23% during extension, and the minimal decrease was 30.19% during rotation.

CONCLUSION

In three-segment TES, the surgical strategy of using 3D-printed artificial prosthesis for anterior column support and pedicle screws for posterior fixation at both two upper and lower levels respectively can reduce the stress on internal fixation system, endplates, and adjacent intervertebral discs, resulting in a reduced risk of internal fixation failure, and ASD development.

Factors Affecting the Outcome of Spine Metastases: A Single-Center Evaluation in Surgically Treated Patients

BACKGROUND

The estimation of survival is extremely important for metastatic disease in the spine. The aim of this study was to determine the factors affecting the outcome of patients with spinal metastasis, primarily the character of neurologic deficit and the histopathology of the tumor.

METHOD

A retrospective examination was made of 158 patients with spinal metastasis who were followed up in our clinic between 2010 and 2020 and underwent surgical intervention. The patients were examined in respect of demographic characteristics, the primary tumor, comorbidities, preoperative-postoperative visual aAnalog scale scores, preoperative-postoperative neurologic examinations and neurologic deficit if present and ambulation status, postoperative survival duration, tumor localization, characteristics of the surgeries, complications, the Karnofsky Performance Scale, revised Tokuhashi, and Tomita scores.

RESULTS

Spinal metastasis was seen more frequently in males (72.8% male, 27.8% female). Male gender, multiple level involvement, intradural localization, and Karnofsky Performance Scale <70 were seen to cause a shorter survival time. Patients with a primary focus of hematologic malignancy, breast cancer, and lymphoma had a longer survival. The revised Tokuhashi and Tomita scores were observed to be successful in the prediction of survival. A decrease in postoperative visual analog scale score had a positive effect on functional survival. The absence of preoperative neurological deficit and the patient's ability for preoperative and postoperative ambulation affected survival positively. The overall survival period decreased in patients who were mobilized in the early postoperative period but became nonmobile in the late period, and in those who were nonmobile in both the early and late postoperative periods.

CONCLUSIONS

The neurologic and ambulatory status, the Tomita and Tokuhashi scores, intradural localization, and gender are the factors with a significant effect on prognosis.

Preoperative Serum Albumin Level Predicts Length of Stay and Perioperative Adverse Events Following Vertebral Corpectomy and Posterior Stabilization for Metastatic Spine Disease

STUDY DESIGN

Retrospective review of a prospectively collected national database.

OBJECTIVES

To determine the association between preoperative serum albumin levels and perioperative adverse events (AEs) following vertebral corpectomy and posterior stabilization for metastatic spine disease.

METHODS

The 2010 to 2019 American College of Surgeons' National Surgical Quality Improvement (ACS-NSQIP) database was used to identify all patients undergoing vertebral corpectomy and posterior stabilization for metastatic spine disease. Receiver operative characteristic (ROC) curve analysis was used to determine preoperative serum albumin cut-off values for predicting perioperative AEs. Low preoperative serum albumin was defined as serum albumin below this cut-off value.

RESULTS

A total of 301 patients were included in the study. ROC curve analysis demonstrated serum albumin < 3.25 g/dL as a cut-off value for predicting perioperative AEs. The low serum albumin group had a higher overall perioperative AEs (P = .041), longer post-operative LOS (P < .001), higher 30-day reoperation rate (P = .014), and a higher in-hospital mortality rate (P = .046). Multivariate analysis demonstrated that low preoperative serum albumin was associated with higher perioperative AEs.

CONCLUSIONS

Low serum albumin level is associated with higher perioperative AEs, longer postoperative LOS, and higher rates of 30-day reoperation and in-hospital mortality among patients undergoing vertebral corpectomy and posterior stabilization for metastatic spine disease. Strategies to improve preoperative nutritional status in patients undergoing this procedure may improve these perioperative outcome measures within this surgical population.

LEVEL OF EVIDENCE

III.

Association of CT-DSA vascular assessment and perioperative outcomes in metastatic spinal surgery

INTRODUCTION

Computed tomography-digital subtraction angiography (CT-DSA) is a radiological method for assessing spinal metastatic tumor vascularity. The study aimed to investigate the association between CT-DSA results and perioperative outcomes in spinal metastatic surgery.

MATERIAL AND METHODS

Patients who underwent spinal metastatic operations with preoperative CT-DSA examinations at any time between January 2018 to December 2022. CT-DSA was classified into five grades ranging from grade 0 to grade 4. Grades 3 and 4 were indicative of hypervascularity. We analyzed the perioperative outcomes of intraoperative blood loss amount, massive hemorrhage (≥2500 ml) occurrence, blood transfusion status, operation time, hospital stay duration, and 30-day and 60-day mortality rates. Logistic regression analyses were conducted to identify factors affecting the likelihood of massive hemorrhage in conjunction with CT-DSA.

RESULTS

Data from 212 operations involving 209 patients were analyzed. In total, 30, 36, 66, 56, and 24 operations had CT-DSA grades from grade 0 to grade 4, respectively. Eighty (38 %) studies were indicative of hypervascularity. CT-DSA grade was positively correlated with the amount of operative blood loss, the occurrence of massive hemorrhage, and the amount of blood in blood transfusion (p < 0.05). However, CT-DSA grades was not significantly associated with operation duration or mortality rate. A multivariable analysis indicated that factors such as hemoglobulin, hypervascular pathology, and spinal instability neoplastic scores were positively correlated with CT-DSA grade. CT-DSA grade (odds ratio: 2.37, p = 0.02), spinal metastatic invasiveness index, and tumor size (≥50 mL) were found to be independent predictors in a multivariable logistic regression analysis where factors associated with massive hemorrhage were included. Hypervascular pathology type was not significantly associated with the likelihood of hemorrhage in the univariable and multivariable analyses.

CONCLUSIONS

CT-DSA serves as an effective tool for assessing vascularity, and is associated with intra-operative blood loss and likelihood of experiencing massive hemorrhage. The predictive capability of CT-DSA surpasses that of traditional histopathology classifications, making it a useful method for preoperative planning in spinal metastatic surgeries.

Oncologic Applications of Artificial Intelligence and Deep Learning Methods in CT Spine Imaging-A Systematic Review

In spinal oncology, integrating deep learning with computed tomography (CT) imaging has shown promise in enhancing diagnostic accuracy, treatment planning, and patient outcomes. This systematic review synthesizes evidence on artificial intelligence (AI) applications in CT imaging for spinal tumors. A PRISMA-guided search identified 33 studies: 12 (36.4%) focused on detecting spinal malignancies, 11 (33.3%) on classification, 6 (18.2%) on prognostication, 3 (9.1%) on treatment planning, and 1 (3.0%) on both detection and classification. Of the classification studies, 7 (21.2%) used machine learning to distinguish between benign and malignant lesions, 3 (9.1%) evaluated tumor stage or grade, and 2 (6.1%) employed radiomics for biomarker classification. Prognostic studies included three (9.1%) that predicted complications such as pathological fractures and three (9.1%) that predicted treatment outcomes. AI's potential for improving workflow efficiency, aiding decision-making, and reducing complications is discussed, along with its limitations in generalizability, interpretability, and clinical integration. Future directions for AI in spinal oncology are also explored. In conclusion, while AI technologies in CT imaging are promising, further research is necessary to validate their clinical effectiveness and optimize their integration into routine practice.

Coccygodynia in a Long-Term Cancer Survivor Diagnosed with Metastatic Cancer: A Case Report

Background and Objectives: Rectal cancer is considered cured if no recurrence is found during the 5-year follow-up period after treatment. After this period, patients often believe that the cancer is completely eradicated. However, in modern society, where lifespans have become longer, it is important to recognize that metastatic cancer may occur long after the initial treatment has concluded. This highlights the necessity of continued vigilance and the long-term follow-up of cancer survivors. Case report: We present a case of metastatic cancer of the coccyx in an 87-year-old female patient. This patient had undergone successful surgery and treatment for rectal cancer 10 years prior. She was considered cured after the standard 5-year follow-up period as she showed no signs of recurrence. The patient presented with simple coccygeal pain as the main complaint, without any other accompanying symptoms such as weight loss, fever, or changes in bowel habits, typically associated with cancer recurrence. During the clinical evaluation, irregularities in the bone cortex were detected while performing a nerve block using ultrasound. Given these findings, further diagnostic evaluations were performed. Advanced imaging techniques including MRI and CT scans led to a diagnosis of coccygeal metastasis. Conclusions: While the 5-year mark post-treatment is a significant milestone for rectal cancer patients, it does not guarantee the absolute eradication of the disease. Long-term monitoring and a thorough evaluation of new symptoms are essential for the early detection and management of late metastatic recurrences. This approach ensures that patients receive timely and appropriate care, potentially improving outcomes and quality of life.

Stereotactic Radiosurgery in Metastatic Spine Disease-A Systemic Review of the Literature

BACKGROUND

This study investigated the efficacy of stereotactic radiosurgery (SRS) in managing spinal metastasis. Traditionally, surgery was the primary approach, but SRS has emerged as a promising alternative.

OBJECTIVE

The study aims to evaluate the efficacy of stereotactic radiosurgery in the management of spinal metastasis in terms of local tumor control, patient survival, and quality of life, identifying both advantages and limitations of SRS.

METHODS

Through an extensive literature search in PubMed with cross-referencing, relevant full-text-available papers published between 2012 and 2022 in English or German were included. The search string used was "metastatic spine diseases AND SRS OR stereotactic radiosurgery".

RESULTS

There is growing evidence of SRS as a precise and effective treatment. SRS delivers high radiation doses while minimizing exposure to critical neural structures, offering benefits like pain relief, limited tumor growth, and a low complication rate, even for tumors resistant to traditional radiation therapies. SRS can be a primary treatment for certain metastatic cases, particularly those without spinal cord compression.

CONCLUSIONS

SRS appears to be a preferable option for oligometastasis and radioresistant lesions, assuming there are no contraindications. Further research is necessary to refine treatment protocols, determine optimal radiation dose and fractionation schemes, and assess the long-term effects of SRS on neural structures.

Efficacy and safety of en-bloc resection versus debulking for spinal tumor: a systematic review and meta-analysis

BACKGROUND

This systematic review and meta-analysis aimed to consolidate the existing evidence regarding the comparison between en-bloc resection surgery and debulking surgery for spinal tumors, including both primary and metastatic tumors.

MATERIALS AND METHODS

The databases of PubMed, Embase, Cochrane database, Web of Science, Scopus, Chinese National Knowledge Infrastructure (CNKI), Chongqing VIP Database (VIP), and Wan Fang Database was carried out and included all studies that directly compared en-bloc resection surgery with debulking surgery for spinal tumors in patients through March 2024. The primary outcomes included recurrence rate, postoperative metastasis rate, mortality rate, overall survival (OS), recurrence-free survival (RFS), complication, and so on. The statistical analysis was conducted using Review Manager 5.3.

RESULTS

We systematically reviewed 868 articles and included 27 studies involving 1135 patients who underwent either en-bloc resection surgery (37.89%) or debulking surgery (62.11%). Our meta-analysis demonstrated significant advantages of en-bloc resection over debulking surgery. Specifically, the en-bloc resection group had a lower recurrence rate (OR = 0.19, 95%CI: 0.13-0.28, P < 0.00001), lower postoperative metastasis rate (P = 0.002), and lower mortality rate (P < 0.00001). Additionally, en-bloc resection could improve OS and RFS (HR = 0.45, 95%CI: 0.32-0.62, P < 0.00001 and HR = 0.37, 95%CI: 0.17-0.80, P = 0.01, respectively). However, en-bloc resection required longer operative times and was associated with a higher overall complication rate compared to debulking surgery (P = 0.0005 and P < 0.00001, respectively).

CONCLUSION

The current evidence indicates that en-bloc surgical resection can effectively control tumor recurrence and mortality, as well as improve RFS and OS for patients with spinal tumors. However, it is crucial not to overlook the potential risks of perioperative complications. Ultimately, these findings should undergo additional validation through multi-center, double-blind, and large-scale randomized controlled trials (RCTs).

State-of-the-Art and New Treatment Approaches for Spinal Cord Tumors

Spinal cord tumors, though rare, present formidable challenges in clinical management due to their intricate nature. Traditional treatment modalities like surgery, radiation therapy, and chemotherapy have been the mainstay for managing these tumors. However, despite significant advancements, challenges persist, including the limitations of surgical resection and the potential side effects associated with radiation therapy. In response to these limitations, a wave of innovative approaches is reshaping the treatment landscape for spinal cord tumors. Advancements in gene therapy, immunotherapy, and targeted therapy are offering groundbreaking possibilities. Gene therapy holds the potential to modify the genes responsible for tumor growth, while immunotherapy harnesses the body's own immune system to fight cancer cells. Targeted therapy aims to strike a specific vulnerability within the tumor cells, offering a more precise and potentially less toxic approach. Additionally, novel surgical adjuncts are being explored to improve visualization and minimize damage to surrounding healthy tissue during tumor removal. These developments pave the way for a future of personalized medicine for spinal cord tumors. By delving deeper into the molecular makeup of individual tumors, doctors can tailor treatment strategies to target specific mutations and vulnerabilities. This personalized approach offers the potential for more effective interventions with fewer side effects, ultimately leading to improved patient outcomes and a better quality of life. This evolving landscape of spinal cord tumor management signifies the crucial integration of established and innovative strategies to create a brighter future for patients battling this complex condition.

Clinical Analysis of Microwave Ablation Combined with Decompression and Pedicle Screw Fixation in the Treatment of Spinal Metastases

OBJECTIVES

There is still controversy over the choice of treatment for end-stage spinal metastases. With the continuous development of microwave technology in spinal tumors, related studies have reported that microwave combined with techniques such as pedicle screw fixation and percutaneous vertebroplasty can achieve the purpose of tumor ablation, relieving spinal cord compression, enhancing spinal stability, effectively relieving pain, and reducing recurrence rates. This study aimed to analyze the effectiveness of microwave ablation combined with decompression and pedicle screw fixation in the palliative management of spinal metastases with pathological fractures.

METHODS

This retrospective study enrolled 82 patients with spinal metastases and pathological fractures treated between January 2016 and July 2020, with 44 patients undergoing pedicle screw fixation along with laminectomy (fixation group) and the remaining 38 receiving microwave ablation in addition to the treatment provided to group fixation (MWA group). Before surgery, all patients underwent pain assessment using the visual analogue scale (VAS) and evaluation of spinal cord injury using the Frankel classification. After surgery, the patients' prognoses were assessed using the Tomita score, modified Tokuhashi score system, and progression-free survival. Additionally, we compared operative time and blood loss between the two groups. Survival analysis utilized the Kaplan-Meier method with a log-rank test for group comparisons. Paired t-tests and the Mann-Whitney U test were applied to metric and non-normally distributed data, respectively. Neurological function improvement across groups was evaluated using the χ2 test.

RESULTS

All patients were followed up for a median duration of 18 and 20 months in the fixation and MWA groups, respectively, with follow-up periods ranging from 6 to 36 months. Statistically significant reductions in postoperative VAS scores were observed in all patients compared with their preoperative scores. The MWA group exhibited reduced blood loss (t = 2.74, p = 0.01), lower VAS scores at the 1- and 3-month follow-ups (t = 2.34, P = 0.02; t = 2.83, p = 0.006), and longer progression-free survival than the fixation group (p = 0.03). Although the operation times in the MWA group were longer than those in the fixation group, this difference was not statistically significant (t = 6.06, p = 0.12). No statistically significant differences were found regarding improvements in spinal cord function between the two groups (p = 0.77).

CONCLUSION

Compared with decompression and pedicle screw fixation for treating spinal metastases with pathological fractures, microwave ablation combined with decompression and pedicle screw fixation showed better outcomes in terms of pain control, longer progression-free survival, and lower blood loss without increasing operative time, which has favorable implications for clinical practice.

Prognostic Factors after Surgical Treatment for Spinal Metastases

STUDY DESIGN

A retrospective multicenter case series was conducted.

PURPOSE

This study aimed to investigate survival and prognostic factors after surgery for a metastatic spinal tumor.

OVERVIEW OF LITERATURE

Prognostic factors after spinal metastasis surgery remain controversial.

METHODS

A retrospective multicenter study was conducted. The study participants included 345 patients who underwent surgery for spinal metastases from 2010 to 2020 at nine referral spine centers in Japan. Data for each patient were extracted from medical records. To identify the factors predicting survival prognosis after surgery, univariate analyses were performed using a Cox proportional hazards model.

RESULTS

The mean age was 65.9 years. Common primary tumors were lung (n=72), prostate (n=61), and breast (n=39), and 67.8% (n=234) presented with osteolytic lesions. The epidural spinal cord compression scale score 2 or 3 was recognized in 79.0% (n=271). Frankel grade A paralysis accounted for 1.4% (n=5), and 73.3% (n=253) were categorized as intermediate or high risk according to the new Katagiri score. The overall survival rates were -71.0% at 6 months, 57.4% at 12, and 43.3% at 24. In the univariate analysis, Frankel grade A (hazard ratio [HR], 3.59; 95% confidence interval [CI], 1.23-10.50; p<0.05), intermediate risk (HR, 3.34; 95% CI, 2.10-5.32; p<0.01), and high risk (HR, 7.77; 95% CI, 4.72-12.8; p<0.01) in the new Katagiri score were significantly associated with poor survival. On the contrary, postoperative chemotherapy (HR, 0.23; 95% CI, 0.15-0.36; p<0.01), radiation therapy (HR, 0.43; 95% CI, 0.26-0.70; p<0.01), and both adjuvant therapy (HR, 0.21; 95% CI, 0.14-0.32; p<0.01) were suggested to improve survival.

CONCLUSIONS

Surgical indications for patients with Frankel grade A or intermediate or high risk in the new Katagiri score should be carefully considered because of poor survival. Chemotherapy or radiation therapy should be considered after surgery for better survival.

Development and internal validation of machine-learning models for predicting survival in patients who underwent surgery for spinal metastases

STUDY DESIGN

A retrospective study.

PURPOSE

This study aimed to develop machine-learning algorithms for predicting survival in patients who underwent surgery for spinal metastasis.

OVERVIEW OF LITERATURE

This study develops machine-learning models to predict postoperative survival in spinal metastasis patients, filling the gaps of traditional prognostic systems. Utilizing data from 389 patients, the study highlights XGBoost and CatBoost algorithms̓ effectiveness for 90, 180, and 365-day survival predictions, with preoperative serum albumin as a key predictor. These models offer a promising approach for enhancing clinical decision-making and personalized patient care.

METHODS

A registry of patients who underwent surgery (instrumentation, decompression, or fusion) for spinal metastases between 2004 and 2018 was used. The outcome measure was survival at postoperative days 90, 180, and 365. Preoperative variables were used to develop machine-learning algorithms to predict survival chance in each period. The performance of the algorithms was measured using the area under the receiver operating characteristic curve (AUC).

RESULTS

A total of 389 patients were identified, with 90-, 180-, and 365-day mortality rates of 18%, 41%, and 45% postoperatively, respectively. The XGBoost algorithm showed the best performance for predicting 180-day and 365-day survival (AUCs of 0.744 and 0.693, respectively). The CatBoost algorithm demonstrated the best performance for predicting 90-day survival (AUC of 0.758). Serum albumin had the highest positive correlation with survival after surgery.

CONCLUSIONS

These machine-learning algorithms showed promising results in predicting survival in patients who underwent spinal palliative surgery for spinal metastasis, which may assist surgeons in choosing appropriate treatment and increasing awareness of mortality-related factors before surgery.

The Influence of Preoperative Anticoagulant and Antiplatelet Therapy on Rebleeding Rates in Patients Suffering from Spinal Metastatic Cancer: A Retrospective Cohort Study

INTRODUCTION

The age of patients requiring surgery for spinal metastasis, primarily those over 65, has risen due to improved cancer treatments. Surgical intervention targets acute neurological deficits and instability. Anticoagulants are increasingly used, especially in the elderly, but pose challenges in managing bleeding complications. The study examines the correlation between preoperative anticoagulant/antiplatelet use and bleeding risks in spinal metastasis surgery, which is crucial for optimizing patient outcomes.

MATERIAL AND METHODS

In a retrospective study at our department from 2010 to 2023, spinal tumor surgery patients were analyzed. Data included demographics, neurological status, surgical procedure, preoperative anticoagulant/antiplatelet use, intra-/postoperative coagulation management, and the incidence of rebleeding. Coagulation management involved blood loss assessment, coagulation factor administration, and fluid balance monitoring post-surgery. Lab parameters were documented at admission, preop, postop, and discharge.

RESULTS

A cohort of 290 patients underwent surgical treatment for spinal metastases, predominantly males (63.8%, n = 185) with a median age of 65 years. Preoperatively, 24.1% (n = 70) were on oral anticoagulants or antiplatelet therapy. Within 30 days, a rebleeding rate of 4.5% (n = 9) occurred, unrelated to preoperative anticoagulation status (p > 0.05). A correlation was found between preoperative neurologic deficits (p = 0.004) and rebleeding risk and the number of levels treated surgically, with fewer levels associated with a higher incidence of postoperative bleeding (p < 0.01).

CONCLUSIONS

Surgical intervention for spinal metastatic cancer appears to be safe regardless of the patient's preoperative anticoagulation status. However, it remains imperative to customize preoperative planning and preparation for each patient, emphasizing meticulous risk-benefit analysis and optimizing perioperative care.

Predictive Modeling for Spinal Metastatic Disease

Spinal metastasis is exceedingly common in patients with cancer and its prevalence is expected to increase. Surgical management of symptomatic spinal metastasis is indicated for pain relief, preservation or restoration of neurologic function, and mechanical stability. The overall prognosis is a major driver of treatment decisions; however, clinicians' ability to accurately predict survival is limited. In this narrative review, we first discuss the NOMS decision framework used to guide decision making in the treatment of patients with spinal metastasis. Given that decision making hinges on prognosis, multiple scoring systems have been developed over the last three decades to predict survival in patients with spinal metastasis; these systems have largely been developed using expert opinions or regression modeling. Although these tools have provided significant advances in our ability to predict prognosis, their utility is limited by the relative lack of patient-specific survival probability. Machine learning models have been developed in recent years to close this gap. Employing a greater number of features compared to models developed with conventional statistics, machine learning algorithms have been reported to predict 30-day, 6-week, 90-day, and 1-year mortality in spinal metastatic disease with excellent discrimination. These models are well calibrated and have been externally validated with domestic and international independent cohorts. Despite hypothesized and realized limitations, the role of machine learning methodology in predicting outcomes in spinal metastatic disease is likely to grow.

New technique of En bloc vertebral resection in the thoracolumbar region assisted by retroperitoneal laparoscopy in a single prone position: first results

PURPOSE

To describe the technique and review the oncological and surgical results of the En Bloc resection assisted by retroperitoneal laparoscopy in a single prone position for tumors in the thoracolumbar region.

METHODS

Monocentric retrospective case study. Procedure was performed in a single prone position by a dual team of spine and thoracovascular surgeons. An endoscopic balloon was inflated in the right retroperitoneal cavity. A plan was developed between the anterior spine and vena cava as well as abdominal aorta with segmental vessels ligation. Structures at risk were safely protected under endoscopy during horizontal or sagittal osteotomies.

RESULTS

From 2021, seven patients aged a median 52 years old (range, 34-67) were included. Involved spinal segments went from T11 to L3. Surgery was aborted in one case due to massive bleeding and ventilating difficulties. There were two partial and four total vertebral resections. Median operating duration and estimated blood loss were 405 min (range, 360-540) and 2.1 L (range, 1.2-19), respectively. Postoperative complications consisted of 1 urinary infection; 1 transient urinary retention; 1 posterior wound infection; 1 pneumothorax; 1 persistent partial motor deficit; 1 transient confusion; 1 pulmonary embolism; 1 CSF leak; 1 subdural hematoma; 1 retroperitoneal lymphocele. All margins were uncontaminated. All patients were alive and ambulatory at last follow-up.

CONCLUSION

Early results suggest En Bloc resection assisted by retroperitoneal videoscopy in tumors from T11 to L3/4 disk space is feasible, less invasive and safe. Careful surgical planning and experience in endoscopic vascular surgery are mandatory.

External Validation of an Online Wound Infection and Wound Reoperation Risk Calculator After Metastatic Spinal Tumor Surgery

STUDY DESIGN

This was a single-institutional retrospective cohort study.

OBJECTIVE

Wound infections are common following spine metastasis surgery and can result in unplanned reoperations. A recent study published an online wound complication risk calculator but has not yet undergone external validation. Our aim was to evaluate the accuracy of this risk calculator in predicting 30-day wound infections and 30-day wound reoperations using our operative spine metastasis population.

METHODS

An internal operative database was used to identify patients between 2012 and 2022. The primary outcomes were 1) any surgical site infection and 2) wound-related revision surgery within 30 days following surgery. Patient details were manually collected from electronic medical records and entered into the calculator to determine predicted complication risk percentages. Predicted risks were compared to observed outcomes using receiver operator characteristic (ROC) curves with areas under the curve (AUC).

RESULTS

A total of 153 patients were included. The observed 30-day postoperative wound infection incidence was 5% while the predicted wound infection incidence was 6%. In ROC analysis, good discrimination was found for the wound infection model (AUC = 0.737; P = 0.024). The observed wound reoperation rate was 5% and the predicted wound reoperation rate was 6%. ROC analysis demonstrated poor discrimination for wound reoperations (AUC = 0.559; P = 0.597).

CONCLUSIONS

The online wound-related risk calculator was found to accurately predict wound infections but not wound reoperations within our metastatic spine surgery cohort. We suggest that the model may be clinically useful despite underlying population differences, but further work must be done to generate and validate accurate prediction tools.

Two-step osteotomy/discectomy through cannulated screw (TOCS) technique for en bloc resection of spine tumor: surgical technique and preliminary results

PURPOSE

We have developed a novel technique for osteotomy/discectomy during en bloc resection of spine tumors named two-step osteotomy/discectomy through cannulated screw (TOCS). This study aims at describing the procedure of TOCS technique and assessing its efficiency and safety.

METHODS

We retrospectively reviewed fourteen patients who underwent en bloc resection for spine tumors using TOCS technique in our center between August 2018 and September 2022. The technique was based on a specially designed "slotted" cannulated screw which was a cannulated screw with a longitudinal slot to provide the accessibility of T-saw. During osteotomy/discectomy, the "slotted" cannulated screw was inserted obliquely along the plane between the dura and the posterior wall of spine in light of the planned osteotomy/discectomy plane under routine fluoroscopic imaging guidance. The T-saw was introduced through the screw, and the osteotomy/discectomy was performed sequentially in two steps under the guidance of the screw by turning the slot away and toward the dura. The intra-/perioperative complication, neurological function (determined by Frankel grading), surgical margin (determined by a pathologist using AJCC R system), follow-up details were documented.

RESULTS

The mean duration of surgery was 599.3 (360-890) min with a mean volume of intra-operative hemorrhage of 2021.4 (800-5000) mL. The intra-/perioperative complications were found in four patients (28.6%). R0 and R1 resections were achieved in nine and five patients, respectively. There was no R2 resection. After a mean follow-up period of 30.6 (10-67) months, all patients were alive except one patient died ten months after surgery due to unrelated cause. No recurrence and implant failure were found. Thirteen patients (92.9%) exhibited completely normal neurological function same as their preoperative neurological status.

CONCLUSION

Using TOCS technique can facilitate a precise, complete and safe osteotomy/discectomy procedure during en bloc resection for spine tumor without the aid of intra-operative navigation.

A new era in the management of spinal metastasis

Despite the recent advances in cancer treatment, the incidence of patients with spinal metastases continues to grow along with the total number of cancer patients. Spinal metastases can significantly impair activities of daily living (ADL) and quality of life (QOL), compared with other types of bone metastases, as they are characterized with severe pain and paralysis caused by skeletal-related events. Reduced ADL can also lead to treatment limitations as certain anticancer agents and radiation therapy are not compatible treatments; thus, leading to a shorter life expectancy. Consequently, maintaining ADLs in patients with spinal metastases is paramount, and spine surgeons have an integral role to play in this regard. However, neurosurgeon, orthopedic and spinal surgeons in Japan do not have a proactive treatment approach to spinal metastases, which may prevent them from providing appropriate treatment when needed (clinical inertia). To overcome such endemic inertia, it is essential for 1) spine surgeons to understand and be more actively involved with patients with musculoskeletal disorders (cancer locomo) and cancer patients; 2) the adoption of a multidisciplinary approach (coordination and meetings not only with the attending oncologist but also with spine surgeons, radiologists, rehabilitation specialists, and other professionals) to preemptive treatment such as medication, radiotherapy, and surgical treatment; and 3) the integration of the latest findings associated with minimally invasive spinal treatments that have expanded the indications for treatment of spinal metastases and improved treatment outcomes. This heralds a new era in the management of spinal metastases.

A novel prognostic scoring system combining the revised Tokuhashi score and the New England spinal metastasis score for preoperative evaluation of spinal metastases

Purpose

Numerous scoring systems have been developed in order to determine the prognosis of spinal metastases. Predicting as accurately as possible the life expectancy of patients with spinal metastatic disease is very important, as it's the decisive factor in selecting the optimal treatment for the patient. The Revised Tokuhashi score (RTS) and the New England Spinal Metastasis score (NESMS) are popular scoring systems used to determine the optimal treatment modality. However, they sometimes provide conflicting results. We propose a novel prognostic scoring system, which combines the RTS and NESMS scores in order to predict with greater accuracy the prognosis.

Methods

We retrospectively reviewed the data of 64 patients with spinal metastasis enrolled between 2012 and 2021 in the Department of Orthopedic Surgery-Spine, Hôpital Maisonneuve-Rosemont, Montréal, Que. The new score per patient was calculated as a combination of the RTS of each patient and the patient's corresponding NESMS. The new score was then compared to the actual patient survival period and divided into 3 categories: Low, Moderate and Good prognosis. We then compared the accuracy of our new score to RTS.

Results

In the Low Prognosis group, the reliability of predicting the prognosis was 51.9% in 27 patients. In the Moderate Prognosis group, the reliability of predicting the prognosis was 95.8% in 24 patients. In the Good Prognosis group, the reliability of predicting the prognosis was 100% in 13 patients. Our new score was found more accurate than RTS as the R2 parameter corresponding to the new score was significantly increased compared to the same parameter corresponding to the RTS score indicating a higher percentage of survival predictability for the new score as compared to the RTS score.

Conclusion

This study demonstrates that a new prognostic scoring system, which would combine the RTS and the NESMS, is promising in providing an improved accuracy for predicting the actual patient survival, especially for the moderate and good prognosis patients. An appropriate prospective investigation with a larger sample size should be conducted in order to further investigate the validity of this novel scoring system and its overall predictive value.

Palliative surgery: state of the science and future directions

Palliative surgical procedures are operations that aim to alleviate symptoms in a patient with serious, life-limiting illness. They are common, particularly within the field of surgical oncology. However, few high-quality studies have attempted to measure the durability of improvements in symptoms and quality of life after palliative surgery. Furthermore, many of the studies that do exist are outdated and employ highly inconsistent definitions of palliative surgery. Consequently, the paucity of robust and reliable evidence on the benefits, risks, and trade-offs of palliative surgery hampers clinical decision-making for patients and their surgeons. The evidence for palliative surgery suggests that, with effective communication about goals of care and careful patient selection, palliative surgery can provide symptomatic relief and reduce healthcare burdens for certain seriously ill patients.