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Delays and risks associated with neurosurgical biopsies preclude timely diagnosis and treatment of central nervous system (CNS) lymphoma and other CNS neoplasms. We prospectively integrated targeted rapid genotyping of cerebrospinal fluid (CSF) into the evaluation of 70 patients with CNS lesions of unknown etiology. Participants underwent genotyping of CSF-derived DNA using a qPCR-based approach for parallel detection of single-nucleotide variants in the MYD88, TERT promoter, IDH1, IDH2, BRAF and H3F3A genes within 80 minutes of sample acquisition. Canonical mutations were detected in 42% of patients with neoplasms, including cases of primary and secondary CNS lymphoma, glioblastoma, IDH-mutant brainstem glioma and H3K27M-mutant diffuse midline glioma. Genotyping results eliminated the need for surgical biopsies in 7/33 (21.2%) cases of newly diagnosed neoplasms, resulting in significantly accelerated initiation of disease-directed treatment (median 3 vs 12 days; p = 0.027). This assay was then implemented in a Clinical Laboratory Improvement Amendments (CLIA) environment, with 2-day median turnaround for diagnosis of central nervous system lymphoma from 66 patients across 4 clinical sites. Our study prospectively demonstrates that targeted rapid CSF genotyping influences oncologic management for suspected CNS tumors.
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Artificial intelligence is poised to influence various aspects of patient care, and neurosurgery is one of the most uprising fields where machine learning is being applied to provide surgeons with greater insight about the pathophysiology and prognosis of neurological conditions. This chapter provides a guide for clinicians on relevant aspects of machine learning and reviews selected application of these methods in intramedullary spinal cord tumors. The potential areas of application of machine learning extend far beyond the analyses of clinical data to include several areas of artificial intelligence, such as genomics and computer vision. Integration of various sources of data and application of advanced analytical approaches could improve risk assessment for intramedullary tumors.
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Neoplasias da Medula Espinal , Neoplasias da Coluna Vertebral , Inteligência Artificial , Humanos , Aprendizado de Máquina , Procedimentos Neurocirúrgicos , Neoplasias da Medula Espinal/cirurgiaRESUMO
Diffuse gliomas are the most common primary malignancies of the central nervous system (CNS). The 2016 edition of the World Health Organization (WHO) classification of CNS tumors opted to integrate current molecular data with the traditional histologic diagnosis in the definition of the disease. This integrated diagnosis offers a greater level of objectivity and helps in establishing more definitive diagnoses for tumors that may have been controversial on histology alone. The classification of gliomas may require FISH technique to identify chromosomal abnormalities. FISH is commonly used to identify 1p/19q codeletion, but many challenges are encountered in the process. In this study, we review the FISH results for 1p/19q codeletion of n = 85 diffuse glioma samples examined at a tertiary care center in the Middle East over a period of 8 years. We also conduct a literature review to study the potential role of DNA-microarray in the identification of 1p/19q deletions. Glioblastoma (GBM), WHO grade IV is the most common glioma type identified (n = 24; 29%). All oligodendrogliomas show 1p/19q codeletion (26/26) while 12.5% of GBMs have 1p/19q codeletion (3/24). Isolated 1p deletions are only identified in one case of diffuse astrocytoma, WHO grade II. Isolated 19q deletions are identified in oligoastrocytoma, anaplastic astrocytoma, and glioblastoma. FISH is the most commonly used technique to diagnose oligodendroglioma because it is a simple, effective, and accessible technique in settings with limited resources. However, the optimization process remains highly variable between laboratories. Microarray is a more objective technique that can provide more information about the genetic alterations of the tumor for better diagnosis and sub-classification of diffuse glioma types.
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Astrocitoma , Neoplasias Encefálicas , Glioma , Oligodendroglioma , Astrocitoma/genética , Neoplasias Encefálicas/diagnóstico , Neoplasias Encefálicas/genética , Neoplasias Encefálicas/patologia , Glioma/diagnóstico , Glioma/genética , Humanos , Mutação , Oligodendroglioma/genética , Centros de Atenção TerciáriaRESUMO
Sarcomas, especially spine sarcomas, are rare yet debilitating and are underestimated types of cancer. Treatment options for spine sarcomas are limited to chemotherapy, radiotherapy and surgical intervention. Accumulating evidence suggests a complex course associated with the treatment of spine sarcomas as compared to other soft tissue sarcomas in the extremities since adjuvant therapy adds limited success to the oncological outcome. Likewise, the limitations of surgical interventions imposed by the proximity and high sensitivity of the spinal cord, leads to an increased recurrence and mortality rates associated with spine sarcomas. Finding novel treatment options to spine sarcomas as such is inevitable, necessitating a more thorough understanding of the different mechanisms of the underlying etiologies of these tumors. In this review, we discuss the most recent studies tackling the involvement of the immune system; a key player in the emergence of the different types of spine sarcomas and the promising immune-mediated targeted therapy that can be applied in these kind of rare cancers.
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Antineoplásicos Imunológicos/uso terapêutico , Sistema Imunitário/imunologia , Sarcoma/patologia , Neoplasias da Coluna Vertebral/patologia , Animais , Humanos , Sarcoma/tratamento farmacológico , Sarcoma/imunologia , Neoplasias da Coluna Vertebral/tratamento farmacológico , Neoplasias da Coluna Vertebral/imunologiaRESUMO
At the dawn of the third millennium, cancer has become the bane of twenty-first century man, and remains a predominant public health burden, affecting welfare and life expectancy globally. Spinal osteogenic sarcoma, a primary spinal malignant tumor, is a rare and challenging neoplastic disease to treat. After the conventional therapeutic modalities of chemotherapy, radiation and surgery have been exhausted, there is currently no available alternative therapy in managing cases of spinal osteosarcoma. The defining signatures of tumor survival are characterised by cancer cell ability to stonewall immunogenic attrition and apoptosis by various means. Some of these biomarkers, namely immune-checkpoints, have recently been exploited as druggable targets in osteosarcoma and many other different cancers. These promising strides made by the use of reinvigorated immunotherapeutic approaches may lead to significant reduction in spinal osteosarcoma disease burden and corresponding reciprocity in increase of survival rates. In this review, we provide the background to spinal osteosarcoma, and proceed to elaborate on contribution of the complex ecology within tumor microenvironment giving arise to cancerous immune escape, which is currently receiving considerable attention. We follow this section on the tumor microenvironment by a brief history of cancer immunity. Also, we draw on the current knowledge of treatment gained from incidences of osteosarcoma at other locations of the skeleton (long bones of the extremities in close proximity to the metaphyseal growth plates) to make a case for application of immunity-based tools, such as immune-checkpoint inhibitors and vaccines, and draw attention to adverse upshots of immune-checkpoint blockers as well. Finally, we describe the novel biotechnique of CRISPR/Cas9 that will assist in treatment approaches for personalized medication.
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Biomarcadores Tumorais/antagonistas & inibidores , Vacinas Anticâncer/administração & dosagem , Imunoterapia/métodos , Osteossarcoma/terapia , Neoplasias da Coluna Vertebral/terapia , Animais , Biomarcadores Tumorais/imunologia , Humanos , Osteossarcoma/imunologia , Osteossarcoma/patologia , Neoplasias da Coluna Vertebral/imunologia , Neoplasias da Coluna Vertebral/patologia , Microambiente TumoralRESUMO
Treatment of osteoporosis with medications like teriparatide, a parathyroid hormone, is known to improve bone density and reduce the risk of osteoporotic vertebral fractures. Anecdotal and limited surgical series have described the utility of this treatment for osteoporotic patients prior to spinal fusion surgery, but there is variability in adoption of this strategy as well as consensus regarding optimal treatment duration before and after surgery. In this study, the clinical results of the use of teriparatide for this application are reviewed and critically examined. We conducted a systematic review of electronic databases using different MeSH terms from 1980 to 2020. Pooled and subgroup analyses were performed using fixed and random effect models based upon the heterogeneity (I2). The results were reported as either mean difference (MD) or odds ratio (OR) with 95% confidence interval (CI). A total of 771 patients from 12 studies were identified. Three hundred seventy-seven patients (90.8% females) were treated with teriparatide. Lumbar spinal fusion rates were significantly higher among patients who received teriparatide compared to the non-teriparatide group (OR 2.15, 95%CI 1.56-2.97, p < 0.00001). Subgroup analysis revealed that patients receiving teriparatide demonstrated 2.12-fold and 2.23-fold higher likelihood of fusion compared to those in the bisphosphonate (OR 2.12, 95%CI 1.45-3.11, p = 0.0001) and placebo (OR 2.23, 95%CI 1.22-4.08, p = 0.009) cohorts, respectively. The treatment effect of teriparatide was associated with significantly reduced subsequent vertebral fractures (OR 0.16, 95%CI 0.06-0.41, p = 0.0002), sagittal malalignment (MD - 3.85, 95%CI: -6.49 to - 1.21, p = 0.004), limb visual analogue score (VAS) (MD - 0.36, 95%CI - 0.64 to - 0.09, p = 0.008), and spinal VAS (MD - 0.24, 95%CI - 0.44 to - 0.04, p = 0.02) compared to the non-teriparatide group. Patients using teriparatide had 30% less likelihood of screw loosening at last follow-up compared to the non-teriparatide group; however, this was not statistically significant (OR 0.70, 95%CI 0.43-1.14, p = 0.15). There did not exist any statistically significant difference between the two comparative groups in terms of pseudoarthrosis (OR 0.54, 95%CI 0.24-1.21, p = 0.13), cage subsidence (OR 1.30, 95%CI 0.38-4.52, p = 0.68), and bone mineral density (MD 0.04, 95%CI - 0.19-0.29, p = 0.74) at last follow-up examination. This meta-analysis corroborates the effectiveness of teriparatide resulting in higher fusion rates. Further study is required to determine the optimal duration of treatment and timing of surgery.
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Conservadores da Densidade Óssea/administração & dosagem , Vértebras Lombares/cirurgia , Osteoporose/tratamento farmacológico , Osteoporose/cirurgia , Fusão Vertebral/métodos , Teriparatida/administração & dosagem , Densidade Óssea/efeitos dos fármacos , Densidade Óssea/fisiologia , Humanos , Injeções Subcutâneas , Fraturas por Osteoporose/tratamento farmacológico , Fraturas por Osteoporose/cirurgia , Fraturas da Coluna Vertebral/tratamento farmacológico , Fraturas da Coluna Vertebral/cirurgia , Resultado do TratamentoRESUMO
Tranexamic acid (TXA) is an effective and commonly used hemostatic agent for perioperative blood loss in various surgical specialties. It is being increasingly used in spinal deformity surgery. We aimed to evaluate the safety and efficacy of topical TXA (tTXA) compared to both placebo and/or intravenous (IV) TXA in patients undergoing spinal deformity surgery. We conducted a systematic review of the electronic databases using different MeSH terms from January 1970 to August 2019. Pooled and subgroup analysis was performed using fixed and random-effect model based upon the heterogeneity (I2). A total of 609 patients (tTXA: n = 258, 42.4%) from 8 studies were included. We found that there was a statistically significant difference in terms of (i) postoperative blood loss [mean difference (MD) - 147.1, 95% CI - 189.5 to - 104.8, p < 0.00001], (ii) postoperative hemoglobin level (MD 1.09, 95% CI 0.45 to 1.72, p = 0.0008), (iii) operative time (MD 7.47, 95% CI 2.94 to 12.00, p < 0.00001), (iv) postoperative transfusion rate [odds ratio (OR) 0.39, 95% CI 0.20 to 0.78, p = 0.007], postoperative drain output (MD, - 184.0, 95% CI - 222.03 to - 146.04, p < 0.00001), and (v) duration of hospital stay (MD - 1.14, 95% CI - 1.44 to - 0.85, p < 0.00001) in patients treated with tTXA compared to the control group. However, there was no significant difference in terms of intraoperative blood loss (p = 0.13) and complications (p = 0.23) between the two comparative groups. Furthermore, low-dose (250-500 mg) tTXA (p < 0.00001) reduced postoperative blood loss more effectively compared to high-dose tTXA (1-3 g) (p = 0.001). Our meta-analysis corroborates the effectiveness and safety of tTXA in spinal deformity surgery.
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Antifibrinolíticos/administração & dosagem , Antifibrinolíticos/uso terapêutico , Técnicas Hemostáticas/tendências , Procedimentos Neurocirúrgicos/métodos , Escoliose/cirurgia , Coluna Vertebral/anormalidades , Coluna Vertebral/cirurgia , Ácido Tranexâmico/administração & dosagem , Ácido Tranexâmico/uso terapêutico , Administração Tópica , Perda Sanguínea Cirúrgica/prevenção & controle , Humanos , Procedimentos Neurocirúrgicos/tendênciasRESUMO
OBJECTIVE: Achieving rigid spinal fixation can be challenging in patients with cancer-related instability, as factors such as osteopenia, radiation, and immunosuppression adversely affect bone quality. Augmenting pedicle screws with cement is a strategy to overcome construct failure. This study aimed to assess the safety and efficacy of cement augmentation with fenestrated pedicle screws in patients undergoing posterior, open thoracolumbar surgery for spinal metastases. METHODS: A retrospective review was performed for patients who underwent surgery for cancer-related spine instability from 2016 to 2019 at the Massachusetts General Hospital. Patient demographics, surgical details, radiographic characteristics, patterns of cement extravasation, complications, and prospectively collected Patient-Reported Outcomes Measurement Information System Pain Interference and Pain Intensity scores were analyzed using descriptive statistics. Logistic regression was performed to determine factors associated with cement extravasation. RESULTS: Sixty-nine patients underwent open posterior surgery with a total of 502 cement-augmented screws (mean 7.8 screws per construct). The median follow-up period for those who survived past 90 days was 25.3 months (IQR 10.8-34.6 months). Thirteen patients (18.8%) either died within 90 days or were lost to follow-up. Postoperative CT was performed to assess the instrumentation and patterns of cement extravasation. There was no screw loosening, pullout, or failure. The rate of cement extravasation was 28.9% (145/502), most commonly through the segmental veins (77/145, 53.1%). Screws breaching the lateral border of the pedicle but with fenestrations within the vertebral body were associated with a higher risk of leakage through the segmental veins compared with screws without any breach (OR 8.77, 95% CI 2.84-29.79; p < 0.001). Cement extravasation did not cause symptoms except in 1 patient who developed a symptomatic thoracic radiculopathy requiring decompression. There was 1 case of asymptomatic pulmonary cement embolism. Patients experienced significant pain improvement at the 3-month follow-up, with decreases in Pain Interference (mean change 15.8, 95% CI 14.5-17.1; p < 0.001) and Pain Intensity (mean change 28.5, 95% CI 26.7-30.4; p < 0.001). CONCLUSIONS: Cement augmentation through fenestrated pedicle screws is a safe and effective option for spine stabilization in the cancer population. The risk of clinically significant adverse events from cement extravasation is very low.
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Neoplasias , Parafusos Pediculares , Fusão Vertebral , Cimentos Ósseos/uso terapêutico , Humanos , Vértebras Lombares/diagnóstico por imagem , Vértebras Lombares/cirurgia , Estudos RetrospectivosRESUMO
OBJECTIVE: Frailty is recognized as an important consideration in patients with cancer who are undergoing therapies, including spine surgery. The definition of frailty in the context of spinal metastases is unclear, and few have studied such markers and their association with postoperative outcomes and survival. Using national databases, the metastatic spinal tumor frailty index (MSTFI) was developed as a tool to predict outcomes in this specific patient population and has not been tested with external data. The purpose of this study was to test the performance of the MSTFI with institutional data and determine whether machine learning methods could better identify measures of frailty as predictors of outcomes. METHODS: Electronic health record data from 479 adult patients admitted to the Massachusetts General Hospital for metastatic spinal tumor surgery from 2010 to 2019 formed a validation cohort for the MSTFI to predict major complications, in-hospital mortality, and length of stay (LOS). The 9 parameters of the MSTFI were modeled in 3 machine learning algorithms (lasso regularization logistic regression, random forest, and gradient-boosted decision tree) to assess clinical outcome prediction and determine variable importance. Prediction performance of the models was measured by computing areas under the receiver operating characteristic curve (AUROCs), calibration, and confusion matrix metrics (positive predictive value, sensitivity, and specificity) and was subjected to internal bootstrap validation. RESULTS: Of 479 patients (median age 64 years [IQR 55-71 years]; 58.7% male), 28.4% had complications after spine surgery. The in-hospital mortality rate was 1.9%, and the mean LOS was 7.8 days. The MSTFI demonstrated poor discrimination for predicting complications (AUROC 0.56, 95% CI 0.50-0.62) and in-hospital mortality (AUROC 0.69, 95% CI 0.54-0.85) in the validation cohort. For postoperative complications, machine learning approaches showed a greater advantage over the logistic regression model used to develop the MSTFI (AUROC 0.62, 95% CI 0.56-0.68 for random forest vs AUROC 0.56, 95% CI 0.50-0.62 for logistic regression). The random forest model had the highest positive predictive value (0.53, 95% CI 0.43-0.64) and the highest negative predictive value (0.77, 95% CI 0.72-0.81), with chronic lung disease, coagulopathy, anemia, and malnutrition identified as the most important predictors of postoperative complications. CONCLUSIONS: This study highlights the challenges of defining and quantifying frailty in the metastatic spine tumor population. Further study is required to improve the determination of surgical frailty in this specific cohort.
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Fragilidade , Neoplasias da Coluna Vertebral , Adulto , Feminino , Fragilidade/diagnóstico , Humanos , Aprendizado de Máquina , Masculino , Pessoa de Meia-Idade , Procedimentos Neurocirúrgicos , Complicações Pós-Operatórias/etiologia , Neoplasias da Coluna Vertebral/cirurgiaRESUMO
Meningiomas are amongst the most commonly encountered intracranial tumors. The majority of these tumors arise intracranially, and the remaining incidents occur along the spinal cord. Meningiomas tend to grow gradually, with many tumors arising in inaccessible locations. Such sporadic behavior poses a therapeutic challenge to clinicians, causing incomplete tumor resections that often lead to recurrence. Therefore, ongoing research seeks to find alternative systematic treatments for meningiomas, with gene-based therapeutics of high interest. Subsequently, genetic studies characterized frequent somatic mutations in NF2, TRAF7, KLF4, AKT1, SMO, and PIK3CA. These genes are communally exhibited in 80% of sporadic meningiomas. In addition, other genes such as the DUSP family, the NR4 family, CMKOR, and FOSL2, have been identified as key players in spinal meningiomas. In this perspective, we aim to investigate current genetic-based studies, with the ongoing research mainly focused on the above NF2, TRAF7, KLF4, AKT1, SMO, and PIK3CA genes and their involved pathways. In addition, this perspective can serve as a potential cornerstone for future genetic analyses of meningioma cases.
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Neoplasias Meníngeas/tratamento farmacológico , Neoplasias Meníngeas/genética , Meningioma/tratamento farmacológico , Meningioma/genética , HumanosRESUMO
Finite element analysis (FEA) is a computer-based mathematical method commonly used in spine and orthopedic biomechanical research. Advances in computational power and engineering modeling and analysis software have enabled many recent technical applications of FEA. Through the use of FEA, a wide range of scenarios can be simulated, such as physiological processes, mechanisms of disease and injury, and the efficacy of surgical procedures. Such models have the potential to enhance clinical studies by allowing comparisons of surgical treatments that would be impractical to perform in human or animal studies, and by linking model results to treatment outcomes. While traditional ex vivo experiments are limited by variabilities in tissue, the complexity of test setup, cost, measurable biomechanical parameters, and the repeatability of experiments, FEA models can be used to measure a wide range of clinically relevant biomechanical parameters. Generic or patient-specific anatomical models can be modified to simulate different clinical and surgical conditions under simulated physiological conditions. Despite these capabilities, there is limited understanding of the clinical applicability and translational potential of FEA models. For spine surgeons, a comprehensive understanding of the key features, strengths, and limitations of FEA models of the spine and their ability to personalize treatment options and assist in clinical decision-making would significantly enhance the impact of FEA research. Furthermore, fostering collaborations between surgeons and engineers could augment the clinical use of these models. The purpose of this review was to highlight key features of FEA model building for clinicians. To illustrate these features, the authors present an example of the use of FEA models in comparing FDA-approved disc arthroplasty implants.
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Software , Coluna Vertebral , Animais , Humanos , Análise de Elementos Finitos , Fenômenos Biomecânicos , Coluna Vertebral/cirurgia , ArtroplastiaRESUMO
BACKGROUND: Malignant soft tissue spinal canal tumors compromise 20% of all spinal neoplasms. They may be primary or metastatic lesions, originating from a diverse range of tissues within and surrounding the spinal canal. These masses can present as diverse emergencies such as secondary cauda equina syndrome, vascular compromise, or syringomyelia. Interpretation of malignant soft tissue spinal canal tumors imaging is an essential for non-radiologists in the setting of emergencies. This task is intricate due to a great radiologic pattern overlap among entities. METHODS: We present a step-by-step strategy that can guide nonradiologists identify a likely malignant soft tissue lesion in the spinal canal based on imaging features, as well as a review of the radiologic features of malignant soft tissue spinal canal tumors. RESULTS: Diagnosis of soft tissue spinal canal malignancies starts with the identification of the lesion's spinal level and its relationship to the dura and medulla. The second step consists of characterizing it as likely-malignant based on radiological signs like a larger size, ill-defined margins, central necrosis, and/or increased vascularity. The third step is to identify additional imaging features such as intratumoral hemorrhage or cyst formation that can suggest specific malignancies. The physician can then formulate a differential diagnosis. The most encountered malignant soft tissue tumors of the spinal canal are anaplastic ependymomas, anaplastic astrocytomas, metastatic tumors, lymphoma, peripheral nerve sheath tumors, and central nervous system melanomas. A review of the imaging features of every type/subtype of lesion is presented in this work. Although magnetic resonance imaging remains the modality of choice for spinal tumor assessment, other techniques such as dynamic contrast agent-enhanced perfusion magnetic resonance imaging or diffusion-weighted imaging could guide diagnosis in specific situations. CONCLUSIONS: In this review, diagnostic strategies for several spinal cord tumors were presented, including anaplastic ependymoma, metastatic spinal cord tumors, anaplastic and malignant astrocytoma, lymphoma, malignant peripheral nerve sheath tumors , and primary central nervous system melanoma. Although the characterization of spinal cord tumors can be challenging, comprehensive knowledge of imaging features can help overcome these challenges and ensure optimal management of spinal canal lesions.
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Neoplasias de Tecidos Moles , Canal Medular , Humanos , Neoplasias de Tecidos Moles/diagnóstico por imagem , Neoplasias de Tecidos Moles/cirurgia , Neoplasias de Tecidos Moles/patologia , Canal Medular/diagnóstico por imagem , Canal Medular/patologia , Imageamento por Ressonância Magnética/métodos , Adulto , Neoplasias da Coluna Vertebral/diagnóstico por imagem , Neoplasias da Coluna Vertebral/cirurgia , Neoplasias da Coluna Vertebral/secundário , Diagnóstico Diferencial , Neoplasias da Medula Espinal/diagnóstico por imagem , Neoplasias da Medula Espinal/cirurgiaRESUMO
BACKGROUND AND OBJECTIVES: Significant evidence has indicated that the reporting quality of novel predictive models is poor because of confounding by small data sets, inappropriate statistical analyses, and a lack of validation and reproducibility. The Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) statement was developed to increase the generalizability of predictive models. This study evaluated the quality of predictive models reported in neurosurgical literature through their compliance with the TRIPOD guidelines. METHODS: Articles reporting prediction models published in the top 5 neurosurgery journals by SCImago Journal Rank-2 (Neurosurgery, Journal of Neurosurgery, Journal of Neurosurgery: Spine, Journal of NeuroInterventional Surgery, and Journal of Neurology, Neurosurgery, and Psychiatry) between January 1st, 2018, and January 1st, 2023, were identified through a PubMed search strategy that combined terms related to machine learning and prediction modeling. These original research articles were analyzed against the TRIPOD criteria. RESULTS: A total of 110 articles were assessed with the TRIPOD checklist. The median compliance was 57.4% (IQR: 50.0%-66.7%). Models using machine learning-based models exhibited lower compliance on average compared with conventional learning-based models (57.1%, 50.0%-66.7% vs 68.1%, 50.2%-68.1%, P = .472). Among the TRIPOD criteria, the lowest compliance was observed in blinding the assessment of predictors and outcomes (n = 7, 12.7% and n = 10, 16.9%, respectively), including an informative title (n = 17, 15.6%) and reporting model performance measures such as confidence intervals (n = 27, 24.8%). Few studies provided sufficient information to allow for the external validation of results (n = 26, 25.7%). CONCLUSION: Published predictive models in neurosurgery commonly fall short of meeting the established guidelines laid out by TRIPOD for optimal development, validation, and reporting. This lack of compliance may represent the minor extent to which these models have been subjected to external validation or adopted into routine clinical practice in neurosurgery.
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BACKGROUND AND OBJECTIVES: Epidural steroid injections (ESIs) are commonly used for lower back pain management. The effect of these injections on lumbar decompression surgery outcomes is hitherto underexplored. The study objective was to determine the impact of ESIs on postoperative rates of medical and surgical complications and to define the appropriate interval before lumbar decompression surgery. METHODS: This retrospective all-payer database analysis identified 587 651 adult patients undergoing one- to three-level laminectomies from January 2010 to October 2021. A 2:1 propensity score match accounting for comorbidities, levels of surgery, and demographics was performed to create two cohorts: (1) 43 674 patients who had received an ESI in the 90 days before laminectomy and (2) 87 348 patients who had not received an ESI. The primary outcome was the rates of medical and surgical complications between groups at 30 days postoperatively. Patients were divided into five cohorts based on injection time before surgery: 1 to 30 days, 31 to 45 days, 46 to 60 days, 61 to 75 days, and 76 to 90 days. Logistic regression was performed between groups to identify temporal associations of complication rates. Confidence intervals of 95% are provided when appropriate. P values < .01 were considered significant. RESULTS: Rates of medical complications within 30 days of surgery were significantly higher in those with ESI compared with control (4.83% vs 3.9%, P < .001). Cerebrospinal fluid (CSF) leak rates were increased in the ESI group at 0.28% vs 0.1% (P < .001), but surgical site infection rates were not significantly different between groups (1.31% vs 1.42% P = .11). ESI performed within 30 days was associated with increased odds of CSF leak (OR: 5.32, 95% CI: 3.96-7.15). CONCLUSION: Preoperative ESI increases the risk of CSF leak and medical complications after lumbar decompression. Because these complications were significantly associated with ESIs given 1 to 30 days before surgery, avoiding ESIs at least 30 days before surgery may be advisable.
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OBJECTIVE: Surgery for primary tumors of the mobile spine and sacrum often requires complex reconstruction techniques to cover soft-tissue defects and to treat wound and CSF-related complications. The anatomical, vascular, and immunoregulatory characteristics of the omentum make it an excellent local substrate for the management of radiation soft-tissue injury, infection, and extensive wound defects. This study describes the authors' experience in complex wound reconstruction using pedicled omental flaps to cover defects in surgery for mobile spine and sacral primary tumors. METHODS: A retrospective cohort analysis was conducted on 34 patients who underwent pedicled omental flap reconstruction after en bloc resection of primary sacral and mobile spine tumors between 2010 and 2020. The study focused on assessing the indications for omental flap usage, including soft-tissue coverage, protection against postoperative radiation therapy, infection management, vascular supply for bone grafts, and dural defect and CSF leak repair. Patient demographic characteristics, tumor characteristics, surgical outcomes, and follow-up data were analyzed to determine the procedure's efficacy and complication rates. RESULTS: From 2010 to 2020, 34 patients underwent pedicled omental flap reconstruction after en bloc resection of sacral (24 of 34 [71%]) and mobile spine (10 of 34 [29%]) primary tumors, mostly chordomas. The patient cohort included 21 men and 13 women with a median (range) age of 60 (32-89) years. The most common indication for omental flap was soft-tissue coverage (20 of 34 [59%]). Other indications included protecting abdominopelvic organs for postoperative radiation therapy (6 of 34 [18%]), treating infections (5 of 34 [15%]), providing vascular supply for free fibular bone graft (1 of 34 [3%]), and repairing large dural defects and CSF leak (2 of 34 [6%]). The median (range) follow-up was 24 (0-132) months, during which 71% (24 of 34) of patients did not require additional surgery for wound-related complications. At last follow-up, 59% (20 of 34) had stable disease and 32% (11 of 34) had recurrence, had progression of disease, or had been discharged to hospice after treatment. CONCLUSIONS: The pedicled omentum is an effective local tissue graft that can be used for complex wound reconstruction and management of high-risk closures in primary spine tumors. This technique may have a lower rate of complications than other approaches and may influence surgical planning and flap selection in challenging cases.
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Omento , Procedimentos de Cirurgia Plástica , Sacro , Neoplasias da Coluna Vertebral , Retalhos Cirúrgicos , Humanos , Masculino , Feminino , Neoplasias da Coluna Vertebral/cirurgia , Pessoa de Meia-Idade , Omento/transplante , Omento/cirurgia , Sacro/cirurgia , Procedimentos de Cirurgia Plástica/métodos , Adulto , Estudos Retrospectivos , IdosoRESUMO
OBJECTIVE: The distributions and proportions of lean and fat tissues may help better assess the prognosis and outcomes of patients with spinal metastases. Specifically, in obese patients, sarcopenia may be easily overlooked as a poor prognostic indicator. The role of this body phenotype, sarcopenic obesity (SO), has not been adequately studied among patients undergoing surgical treatment for spinal metastases. To this end, here the authors investigated the role of SO as a potential prognostic factor in patients undergoing surgical treatment for spinal metastases. METHODS: The authors identified patients who underwent surgical treatment for spinal metastases between 2010 and 2020. A validated deep learning approach evaluated sarcopenia and adiposity on routine preoperative CT images. Based on composition analyses, patients were classified with SO or nonsarcopenic obesity. After nearest-neighbor propensity matching that accounted for confounders, the authors compared the rates and odds of postoperative complications, length of stay, 30-day readmission, and all-cause mortality at 90 days and 1 year between the SO and nonsarcopenic obesity groups. RESULTS: A total of 62 patients with obesity underwent surgical treatment for spinal metastases during the study period. Of these, 37 patients had nonsarcopenic obesity and 25 had SO. After propensity matching, 50 records were evaluated that were equally composed of patients with nonsarcopenic obesity and SO (25 patients each). Patients with SO were noted to have increased odds of nonhome discharge (OR 6.0, 95% CI 1.69-21.26), 30-day readmission (OR 3.27, 95% CI 1.01-10.62), and 90-day (OR 4.85, 95% CI 1.29-18.26) and 1-year (OR 3.78, 95% CI 1.17-12.19) mortality, as well as increased time to mortality after surgery (12.60 ± 19.84 months vs 37.16 ± 35.19 months, p = 0.002; standardized mean difference 0.86). No significant differences were noted in terms of length of stay or postoperative complications when comparing the two groups (p > 0.05). CONCLUSIONS: The SO phenotype was associated with increased odds of nonhome discharge, readmission, and postoperative mortality. This study suggests that SO may be an important prognostic factor to consider when developing care plans for patients with spinal metastases.
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Sarcopenia , Neoplasias da Coluna Vertebral , Humanos , Sarcopenia/complicações , Neoplasias da Coluna Vertebral/complicações , Neoplasias da Coluna Vertebral/cirurgia , Obesidade/complicações , Prognóstico , Complicações Pós-Operatórias/epidemiologia , Complicações Pós-Operatórias/etiologiaRESUMO
BACKGROUND AND OBJECTIVES: Racial and socioeconomic disparities in spine surgery for degenerative lumbar spondylolisthesis persist in the United States, potentially contributing to unequal health-related quality of life (HRQoL) outcomes. This is important as lumbar spondylolisthesis is one of the most common causes of surgical low back pain, and low back pain is the largest disabler of individuals worldwide. Our objective was to assess the relationship between race, socioeconomic factors, treatment utilization, and outcomes in patients with lumbar spondylolisthesis. METHODS: This cohort study analyzed prospectively collected data from 9941 patients diagnosed with lumbar spondylolisthesis between 2015 and 2020 at 5 academic hospitals. Exposures were race, socioeconomic status, health coverage, and HRQoL measures. Main outcomes and measures included treatment utilization rates between racial groups and the association between race and treatment outcomes using logistic regression, adjusting for patient characteristics, socioeconomic status, health coverage, and HRQoL measures. RESULTS: Of the 9941 patients included (mean [SD] age, 67.37 [12.40] years; 63% female; 1101 [11.1%] Black, Indigenous, and People of Color [BIPOC]), BIPOC patients were significantly less likely to use surgery than White patients (odds ratio [OR] = 0.68; 95% CI, 0.62-0.75). Furthermore, BIPOC race was associated with significantly lower odds of reaching the minimum clinically important difference for physical function (OR = 0.74; 95% CI, 0.60; 0.91) and pain interference (OR = 0.77; 95% CI, 0.62-0.97). Medicaid beneficiaries were significantly less likely (OR = 0.65; 95% CI, 0.46-0.92) to reach a clinically important improvement in HRQoL when accounting for race. CONCLUSION: This study found that BIPOC patients were less likely to use spine surgery for degenerative lumbar spondylolisthesis despite reporting higher pain interference, suggesting an association between race and surgical utilization. These disparities may contribute to unequal HRQoL outcomes for patients with lumbar spondylolisthesis and warrant further investigation to address and reduce treatment disparities.
Assuntos
Disparidades em Assistência à Saúde , Vértebras Lombares , Qualidade de Vida , Espondilolistese , Humanos , Espondilolistese/cirurgia , Espondilolistese/etnologia , Masculino , Feminino , Idoso , Pessoa de Meia-Idade , Disparidades em Assistência à Saúde/estatística & dados numéricos , Disparidades em Assistência à Saúde/etnologia , Vértebras Lombares/cirurgia , Estudos de Coortes , Estados Unidos , Etnicidade/estatística & dados numéricos , Resultado do Tratamento , Dor Lombar/cirurgia , Dor Lombar/etnologia , Estudos Prospectivos , Fatores SocioeconômicosRESUMO
BACKGROUND: Survival is variable in patients with glioblastoma IDH wild-type (GBM), even after comparable surgical resection of radiographically-detectable disease, highlighting the limitations of radiographic assessment of infiltrative tumor anatomy. The majority of post-surgical progressive events are failures within 2cm of the resection margin, motivating supramaximal resection strategies to improve local control. However, which patients benefit from such radical resections remains unknown. METHODS: We developed a predictive model to identify which IDH wild-type GBM are amenable to radiographic gross total resection (GTR). We then investigated whether GBM survival heterogeneity following GTR is correlated with microscopic tumor burden a by analyzing tumor cell content at the surgical margin with a rapid qPCR-based method for detection of TERT promoter mutation. RESULTS: Our predictive model for achievable GTR, developed on retrospective radiographic and molecular data of GBM patients undergoing resection, had an AUC of 0.83, sensitivity of 62%, and specificity of 90%. Prospective analysis of this model in 44 patients found 89% of patients were correctly predicted to achieve a RV<4.9cc. Of the 44 prospective patients undergoing rapid qPCR TERT promoter mutation analysis at the surgical margin, 7 had undetectable TERT mutation, of which 5 also had a gross total resection (RV<1cc). In these 5 patients at 30 months follow up, 75% showed no progression, compared to 0% in the group with TERT mutations detected at the surgical margin (p=0.02). CONCLUSIONS: These findings identify a subset of patients with GBM that may derive local control benefit from radical resection to undetectable molecular margins.
RESUMO
Anorectal manifestations of monkeypox are increasingly being recognized as a potentially serious complication. We present the case of an HIV-positive, tecovirimat-treated male presenting with monkeypox virus-associated severe proctitis with associated perianal pathology. Despite the use of antiviral agents and intravenous vaccinia immune globulin, the monkeypox-associated perianal lesions evolved into abscesses, requiring incision and drainage. This report highlights a multidisciplinary approach involving surgery for anorectal complications of monkeypox virus-associated proctitis and perianal lesions. Surgery may offer immediate relief and reduce the potential long-term morbidity associated with severe monkeypox virus-associated rectal and perianal manifestations refractory to available medical countermeasures.