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Background: Surgical intervention is a critical tool to address adult spinal deformity (ASD). Given the evolution of spinal surgical techniques, we sought to characterize developments in ASD correction and barriers impacting clinical outcomes. Methods: We conducted a literature review utilizing PubMed, Embase, Web of Science, and Google Scholar to examine advances in ASD surgical correction and ongoing challenges from patient and clinician perspectives. ASD procedures were examined across pre-, intra-, and post-operative phases. Results: Several factors influence the effectiveness of ASD correction. Standardized radiographic parameters and three-dimensional modeling have been used to guide operative planning. Complex minimally invasive procedures, targeted corrections, and staged procedures can tailor surgical approaches while minimizing operative time. Further, improvements in osteotomy technique, intraoperative navigation, and enhanced hardware have increased patient safety. However, challenges remain. Variability in patient selection and deformity undercorrection have resulted in heterogenous clinical responses. Surgical complications, including blood loss, infection, hardware failure, proximal junction kyphosis/failure, and pseudarthroses, pose barriers. Although minimally invasive approaches are being utilized more often, clinical validation is needed. Conclusions: The growing prevalence of ASD requires surgical solutions that can lead to sustained symptom resolution. Leveraging computational and imaging advances will be necessary as we seek to provide comprehensive treatment plans for patients. [ABSTRACT FROM AUTHOR]

To examine complication rates and radiographic outcomes in patients undergoing surgery for adult spinal deformity (ASD) by a junior surgeon. A study was conducted of a retrospective cohort of patients who underwent an open posterior interbody fusion of the thoracic and/or lumbar regions by a single surgeon for ASD between 2018 and 2022. Patient characteristics, complications, and common radiographic parameters of spinopelvic alignment were collated. A total of 112 patients with an average of 4.2 comorbidities underwent surgical correction of ASD. Thirty-seven patients (33.0%) experienced 52 major complications and 50 patients (44.6%) experienced 66 minor complications. Twenty-three patients (20.5%) required a revision operation. Both sagittal vertical axis (P < 10–14) and pelvic incidence–lumbar lordosis mismatch (P < 10–7) significantly improved postoperatively. Number of levels (P < 0.05), operative time >650 minutes (P < 0.01), estimated blood loss >1500 mL (P < 0.01), length of intensive care unit stay >1 day (P < 0.05), and hospitalization length >5 days (P < 0.05) all significantly increased the risk of a major complication. No patient factors significantly increased the risk of minor complications or revision surgery. Observed complication and revision rates in this cohort were consistent with rates reported in the literature. No preoperative patient risk factors significantly increased risk of complications or need for revision, suggesting that no patient population is at increased risk undergoing surgery by a junior surgeon. The relatively high rate of complications observed in this cohort may be a result of high baseline morbidity. [ABSTRACT FROM AUTHOR]

Simple Summary: Diagnosis of posterior fossa tumors is challenging yet proper classification is imperative given that treatment decisions diverge based on tumor type. The aim of this systematic review is to summarize the current state of machine learning methods developed as diagnostic tools for these pediatric brain tumors. We found that, while individual algorithms were quite efficacious, the field is limited by its heterogeneity in methods, outcome reporting, and study populations. We identify common limitations in the study and development of these algorithms and make recommendations as to how they can be overcome. If incorporated into algorithm design, the practical guidelines outlined in this review could help to bridge the gap between theoretical algorithm diagnostic testing and practical clinical application for a wide variety of pathologies. Background: Posterior fossa tumors (PFTs) are a morbid group of central nervous system tumors that most often present in childhood. While early diagnosis is critical to drive appropriate treatment, definitive diagnosis is currently only achievable through invasive tissue collection and histopathological analyses. Machine learning has been investigated as an alternative means of diagnosis. In this systematic review and meta-analysis, we evaluated the primary literature to identify all machine learning algorithms developed to classify and diagnose pediatric PFTs using imaging or molecular data. Methods: Of the 433 primary papers identified in PubMed, EMBASE, and Web of Science, 25 ultimately met the inclusion criteria. The included papers were extracted for algorithm architecture, study parameters, performance, strengths, and limitations. Results: The algorithms exhibited variable performance based on sample size, classifier(s) used, and individual tumor types being investigated. Ependymoma, medulloblastoma, and pilocytic astrocytoma were the most studied tumors with algorithm accuracies ranging from 37.5% to 94.5%. A minority of studies compared the developed algorithm to a trained neuroradiologist, with three imaging-based algorithms yielding superior performance. Common algorithm and study limitations included small sample sizes, uneven representation of individual tumor types, inconsistent performance reporting, and a lack of application in the clinical environment. Conclusions: Artificial intelligence has the potential to improve the speed and accuracy of diagnosis in this field if the right algorithm is applied to the right scenario. Work is needed to standardize outcome reporting and facilitate additional trials to allow for clinical uptake. [ABSTRACT FROM AUTHOR]

The neurosurgical sub-internship is a crucial step for prospective neurosurgeons. However, the expectations for sub-interns, particularly the technical skills required by residents and attendings, often are unclear. We present survey data on what medical students, residents, and attendings believe are important procedural proficiencies for neurosurgical sub-internships. We incorporated these tasks into a pilot skills-based craniotomy workshop, and here we report on the impact of the session on the neurosurgical training of medical students. A 1-day craniotomy lab using cadaveric cranial specimens was conducted for medical students. Surveys querying important competencies for sub-internships were answered by residents and attendings at affiliated hospitals. Pre- and postlab surveys querying interest in and perceptions of neurosurgery, self-assessment of skills, and important competencies for sub-internship preparation were answered by attendees. Medical students, residents, and attendings agreed that burr-hole placement, bone replating, and galea and skin closure were of high importance for sub-interns. There was significant disagreement on the importance of dural opening and closure, establishing a craniotomy, and neuronavigation. The workshop altered perceptions of neurosurgery, with significant changes in recognizing the value of peer mentorship. Students also expressed increased confidence in technical skills, with significant improvements shown in understanding of neurosurgical high-speed drill use (P < 0.001). Although the expectations for sub-interns may be heterogeneous, there is general agreement that proficiency in the initial and final steps of craniotomies, as well as minor procedures, is recommended. Cadaveric labs can improve student engagement in neurosurgery, facilitate interactions with neurosurgical departments, and enhance technical skills. [ABSTRACT FROM AUTHOR]

Objective: The restoration of sufficient overall lumbar lordosis (LL) and segmental LL (SL) is associated with achieving optimal sagittal balance, decreasing back pain, and enhancing functional outcomes for patients. Expandable cages were developed in hopes of improving radiographic parameters and clinical outcomes, although current clinical evidence is inconclusive. Here, the authors aimed to evaluate the clinical and radiographic outcomes in patients undergoing one- or two-level open transforaminal lumbar interbody fusion (TLIF) with expandable versus static cage placement, using propensity-matched cohorts., Methods: An institutional retrospective cohort of patients who underwent one- or two-level open TLIF with either expandable cage or static cage placement was identified. Using relevant preoperative covariates, including age, primary versus revision operation, number of cages implanted, and surgical level implanted, the authors built propensity-matched cohorts. They identified clinical outcomes in both cohorts, including operative characteristics and complication rates, along with pain, weakness, and sensory deficits over follow-up. Furthermore, they extracted and examined preoperative, postoperative, and last follow-up radiographic parameters., Results: A total of 148 patients were included, and they were followed for a mean of 1.7 years (range 0.5-4.3 years). Propensity matching was used to create cohorts of patients who were similar with respect to age, surgical indication, revision status, number of cages implanted, surgical level implanted, and length of follow-up. Patients in both groups had similar preoperative radiographic parameters. Patients with expandable cages saw larger increases in SL, both postoperatively (5.3° ± 7.5° vs 1.6° ± 5.6°, p = 0.006) and at last follow-up (5.7° ± 7.4° vs 1.0° ± 6.1°, p = 0.003). They also saw significant improvements in pelvic incidence minus LL mismatch at last follow-up (-4.4° ± 13.2° vs 5.8° ± 13.8°, p = 0.009). No differences in intraoperative or perioperative complications were found, but patients with expandable cages were less likely to require readmission, develop adjacent-segment disease, or require revision surgery. They were also more likely to be symptom free at 1 month after surgery and at last follow-up., Conclusions: Expandable cages lead to better restoration of radiographic features, including SL and improvements in clinical outcomes, compared with static cages in propensity-matched cohorts in patients undergoing one- or two-level open TLIFs.

Background and Objective: Department of Veteran's Affairs (VA) Medical Centers play a crucial role in training neurosurgery residents. Although previous studies have examined the impact of VA rotations from the attending perspective, the resident experience remains unexplored. We present a national survey of neurosurgery residents to assess their perceptions of VA rotations, focusing on operative experience, call burden, longitudinal patient care experiences, and overall strengths and limitations., Methods: A 33-question survey was distributed by email to all neurosurgery residents who had previously completed a VA rotation within the past 7 years., Results: Responses were received from 77 residents, representing 36 out of 40 neurosurgical residency programs with an active VA rotation. Most residents (79.2%) found their VA rotations adequate in length, having spent a median of 5 months at the VA. Residents completed an average of 11.7 (SD 7.2) cases per month while at the VA, including 8.9 (SD 5.5) spine, 1.7 (SD 2.0) cranial, and 1.4 (SD 1.6) peripheral nerve cases. Many residents reported completing a greater proportion of spine and peripheral nerve cases at the VA compared with their primary clinical sites. Across all postgraduate years, residents felt that the VA offered increased operative autonomy (79.0% agreement) at the expense of total operative volume (98.7% agreement) and complexity (81.9% agreement). Importantly, 94.8% of residents participated in longitudinal patient care experiences, and 59.7% followed all patients longitudinally., Conclusion: The resident experience at the VA varies, presenting both strengths and limitations. Addressing these factors could enhance the overall effectiveness of VA rotations in neurosurgical training programs in the future., (Copyright © Congress of Neurological Surgeons 2024. All rights reserved.)

Background Expandable interbody cages, while popular in minimally invasive fusions due to their slim profile and increased ease of insertion, have not been widely explored in open surgery. The benefits of expandable cages may also extend to open fusions through their potential to achieve a greater restoration of lumbar lordosis while minimizing intraoperative complications. To highlight these benefits, we present a case series of adult spinal deformity (ASD) patients treated with an open transforaminal lumbar interbody fusion (TLIF) using expandable cages and compare outcomes to those of patients treated with static cages from the literature. Methods A retrospective cohort study of patients who underwent a deformity correction procedure and TLIF with expandable interbody cages at Brigham and Women's Hospital between 2018 and 2022 was conducted. Patient demographics, complications, and pre- and postoperative radiographic parameters of spinopelvic alignment were collected. A literature search was completed to identify studies employing static cages. T-tests were performed to compare postoperative changes in radiographic parameters by cage type. Results Forty-five patients (mean age of 62.6 years) with an average of 2.1 cages placed met the inclusion criteria. Patients experienced five intraoperative complications and 23 neurologic deficits (from minor to major), while nine patients required a revision operation. Lumbar lordosis increased by 9.8° ± 14.5° (p < 0.0001), the sagittal vertical axis (SVA) decreased by 25.5 mm ± 56.7 mm (p = 0.0048), and pelvic incidence-lumbar lordosis mismatch decreased by 13.3° ± 17.5° (p < 0.0001) with the use of expandable cages. Expandable cages yielded similar changes in lumbar lordosis to 15° and 8° cages but improved the lumbar lordosis generated from rectangular and 4° cages. When compared to static cages, expandable cages mildly reduced intraoperative complications. Conclusions Expandable interbody cages are an effective means of restoring spinopelvic alignment in ASD that have the potential to improve patient outcomes in open fusions compared to standard static cages. Especially when compared to rectangular and 4° static cages, expandable cages provide a clear benefit in the correction of lumbar lordosis. The impact of open spinal fusions with expandable cages on outcomes should continue to be explored in other cohorts., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2023, Yearley et al.)

Objective: Country-by-country estimates of the macroeconomic disease burden of central nervous system (CNS) cancers are important when determining the allocation of resources related to neuro-oncology. Accordingly, in this study the authors investigated macroeconomic losses related to CNS cancer in 173 countries and identified pertinent epidemiological trends., Methods: Data for CNS cancer incidence, mortality, and disability-adjusted life years (DALYs) were collected from the Global Burden of Disease 2019 database. Gross domestic product data were combined with DALY data to estimate economic losses using a value of lost welfare approach., Results: The mortality-to-incidence ratio of CNS cancer in 2019 was 0.60 in high-income regions compared to 0.82 in Sub-Saharan Africa and 0.87 in Central Europe, Eastern Europe, and Central Asia. Welfare losses varied across both high- and low-income countries. Welfare losses attributable to CNS cancer in Japan represented 0.07% of the gross domestic product compared to 0.23% in Germany. In low- and middle-income countries, Iraq reported welfare losses of 0.20% compared to 0.04% in Angola. Globally, the DALY rate in 2019 was the same for CNS cancer as for prostate cancer at 112 per 100,000 person-years, despite a 75% lower incidence rate, equating to CNS cancer welfare losses of 182 billion US dollars., Conclusions: Macroeconomic losses vary across high- and low-income settings and appear to be region specific. These differences may be explained by differences in regional access to screening and diagnosis, population-level genetic predispositions, and environmental risk factors. Mortality-to-incidence ratios are higher in low- and middle-income countries than in high-income countries, highlighting possible gaps in treatment access. Quantification of macroeconomic losses related to CNS cancer can help to justify the spending of finite resources to improve outcomes for neuro-oncological patients globally.