Diagnostic utility of Brain Injury Guidelines (BIG): systematic review and meta-analysis for prediction of neurosurgical intervention in traumatic brain injury.

BACKGROUND: The Brain Injury Guidelines (BIG) categorize the severity of Traumatic Brain Injury (TBI). The efficacy of BIG in predicting radiological deterioration and the necessity for neurosurgical intervention remains uncertain, as there is a lack of examination of pooled data from current literature despite validation in numerous single and multi-institutional studies. The aim of this study was to analyze existing studies to determine the diagnostic accuracy of BIG scoring criteria. METHODS: A systematic review and meta-analysis was conducted in accordance with PRISMA guidelines (PROSPEROID CRD42021277542). Three databases were searched, and articles published from 2000 to October 2022 were included (last search date: 25 November 2022). Pooled sensitivity and specificity were calculated using random effects meta-analysis. RESULTS: Of the 1130 articles identified, 13 were included in the analysis (9032 patients - 1433 BIG1, 2136 BIG2 & 3189 BIG3). A total of 2274 patients were not classified under either group. Pooled sensitivity for predicting neurosurgical intervention was 1.00 (95%CI:1.00-1.00), and 0.98 for radiological deterioration (95% CI: 0.927-0.996). The specificity in predicting radiological deterioration was 0.18 (95% CI: 0.16-0.21) and 0.05 for neurosurgical intervention (95% CI 0.05-0.05). CONCLUSIONS: The BIG score is highly sensitive at excluding TBI cases that do not require neurosurgical intervention; however, BIG-2 and BIG-3 might not be useful for ruling in TBI patients who require neurosurgical intervention.

Letter: Estimating the baseline local recurrence rate for a brain metastasis after neurosurgical resection.

Brain metastases represent a growing healthcare challenge with a rising incidence attributed to earlier detection and improved systemic cancer treatments. We conducted a systematic review and meta-analysis to investigate the local recurrence rate following surgical resection of a brain metastasis without adjuvant therapy. The analysis included four studies with a total of 235 cases. It was found that the rate of local recurrence by 12-months was 48.1% (95% CI 41.2-58.9). These findings underscore the high rate of patients who will experience local recurrence within 12-months of surgery, emphasising the need for vigilant surveillance when omitting adjuvant radiotherapy in favour of systemic treatments with potential but unproven CNS penetrance. The analysis highlights unmet needs in this patient population.

BMScope: A scoping review to chart the evolving clinical study landscape in brain and leptomeningeal metastasis.

BACKGROUND: Recent studies have challenged the notion that patients with brain metastasis (BM) or leptomeningeal metastasis (LM) should be excluded from systemic therapy clinical trials. This scoping study summarises the BM/LM clinical studies published between 2010 and 2023. METHODS: MEDLINE, CINAHL, CAB Abstracts, PsycINFO, Cochrane Library, HINARI, International Pharmaceutical Abstracts, PubMed, Scopus, Web of Science, and EMBASE electronic databases were searched on 21 June 2021. An updated search was performed on 21 February 2023. Eligible studies should involve investigation of a therapeutic intervention in solid tumour patients with BM and/or LM and a reported patient outcome. Extracted study-level data, included study type, publication date, geographical location, number of BM/LM patients in study, primary tumour type and type of therapeutic intervention. RESULTS: 4921 unique studies were eligible for analysis. The key finding is that BM/LM clinical research is expanding globally, both observational studies and clinical trials. Despite the shift over time towards a higher proportion of systemic therapy trials, the majority still do not include patients with symptomatic disease and lack reporting of BM/LM specific endpoints. Globally, there has been a trend to more international collaboration in BM/LM clinical studies. CONCLUSIONS: This analysis of the BM/LM literature charts the evolving landscape of studies involving this previously excluded population. Given the increasing clinical research activity, particularly involving late-stage systemic therapy trials, it is imperative that due consideration is given to the intracranial activity of new investigational agents. Wider adoption of standardised reporting of intracranial-specific endpoints will facilitate evaluation of relative intracranial efficacy.

The importance of social networks in neurosurgery training in low/middle income countries.

Introduction: Neurosurgery is evolving with new techniques and technologies, relies heavily on high-quality education and training. Social networks like Twitter, Facebook, Instagram and LinkedIn have become integral to this training. These platforms enable sharing of surgical experiences, fostering global knowledge-sharing and collaboration among neurosurgeons. Virtual conferences and courses are accessible, enhancing learning regardless of location. While these networks offer real-time communication and collaborative opportunities, they also pose challenges like the spread of misinformation and potential distractions. According to the PICO format, the target population (P) for the purpose of this paper are medical students, neurosurgical residents and consultants on the role of social media (I) in neurosurgery among Low-Middle income countries (C) with the main outcome to understand the collaborative domain of learning. Material and method: This cross-sectional survey, conducted in June-July 2023, involved 210 medical students, neurosurgery residents, fellows, and practicing neurosurgeons from low and middle-income countries. A structured questionnaire assessed social network usage for neurosurgery training, covering demographic details, usage frequency, and purposes like education, collaboration, and communication. Participants rated these platforms' effectiveness in training on a 1-5 scale. Data collection employed emails, social media groups, and direct messaging, assuring respondent anonymity. The survey aimed to understand and improve social networks' use in neurosurgery, focusing on professional development, challenges, and future potential in training. Results: In a survey of 210 participants from low and middle-income countries, 85.5% were male, 14.5% female, with diverse roles: 42.9% neurosurgery residents, 40% practicing neurosurgeons, 14.6% medical students, and 2.4% other healthcare professionals. Experience ranged from 0 to 35 years, with Mexico, Nigeria, and Kenya being the top participating countries. Most respondents rated neurosurgery training resources in their countries as poor or very poor. 88.7% used social media professionally, predominantly WhatsApp and YouTube. Content focused on surgical videos, research papers, and webinars. Concerns included information quality and data privacy. Interactive case discussions, webinars, and lectures were preferred resources, and most see a future role for social media in neurosurgery training. Conclusions: Our study underscores the crucial role of social media in neurosurgery training and practice in low and middle-income countries (LMICs). Key resources include surgical videos, research papers, and webinars. While social media offers a cost-effective, global knowledge-sharing platform, challenges like limited internet access, digital literacy, and misinformation risks remain significant in these regions.

Low-Cost 3D Models for Cervical Spine Tumor Removal Training for Neurosurgery Residents.

BACKGROUND AND OBJECTIVES: Spinal surgery, particularly for cervical pathologies such as myelopathy and radiculopathy, requires a blend of theoretical knowledge and practical skill. The complexity of these conditions, often necessitating surgical intervention, underscores the need for intricate understanding and precision in execution. Advancements in neurosurgical training, especially with the use of low-cost 3D models for simulating cervical spine tumor removal, are revolutionizing this field. These models provide the realistic and hands-on experience crucial for mastering complex neurosurgical techniques, filling gaps left by traditional educational methods. MATERIALS AND METHODS: This study aimed to assess the effectiveness of 3D-printed cervical vertebrae models in enhancing surgical skills, focusing on tumor removal, and involving 20 young neurosurgery residents. These models, featuring silicone materials to simulate the spinal cord and tumor tissues, provided a realistic training experience. The training protocol included a laminectomy, dural incision, and tumor resection, using a range of microsurgical tools, focusing on steps usually performed by senior surgeons. RESULTS: The training program received high satisfaction rates, with 85% of participants extremely satisfied and 15% satisfied. The 3D models were deemed very realistic by 85% of participants, effectively replicating real-life scenarios. A total of 80% found that the simulated pathologies were varied and accurate, and 90% appreciated the models' accurate tactile feedback. The training was extremely useful for 85% of the participants in developing surgical skills, with significant post-training confidence boosts and a strong willingness to recommend the program to peers. CONCLUSIONS: Continuing laboratory training for residents is crucial. Our model offers essential, accessible training for all hospitals, regardless of their resources, promising improved surgical quality and patient outcomes across various pathologies.

Integrating Augmented Reality in Spine Surgery: Redefining Precision with New Technologies.

INTRODUCTION: The integration of augmented reality (AR) in spine surgery marks a significant advancement, enhancing surgical precision and patient outcomes. AR provides immersive, three-dimensional visualizations of anatomical structures, facilitating meticulous planning and execution of spine surgeries. This technology not only improves spatial understanding and real-time navigation during procedures but also aims to reduce surgical invasiveness and operative times. Despite its potential, challenges such as model accuracy, user interface design, and the learning curve for new technology must be addressed. AR's application extends beyond the operating room, offering valuable tools for medical education and improving patient communication and satisfaction. MATERIAL AND METHODS: A literature review was conducted by searching PubMed and Scopus databases using keywords related to augmented reality in spine surgery, covering publications from January 2020 to January 2024. RESULTS: In total, 319 articles were identified through the initial search of the databases. After screening titles and abstracts, 11 articles in total were included in the qualitative synthesis. CONCLUSION: Augmented reality (AR) is becoming a transformative force in spine surgery, enhancing precision, education, and outcomes despite hurdles like technical limitations and integration challenges. AR's immersive visualizations and educational innovations, coupled with its potential synergy with AI and machine learning, indicate a bright future for surgical care. Despite the existing obstacles, AR's impact on improving surgical accuracy and safety marks a significant leap forward in patient treatment and care.

Challenging assumptions: "unveiling meritocracy's reality in neurosurgery".

Introduction: Meritocracy, a concept revered as the cornerstone of fairness and equal opportunity, is critically examined in the context of neurosurgery. This article challenges the notion that success in this demanding field is solely determined by individual abilities and effort. It reveals that factors such as background, gender, and socioeconomic status significantly influence one's career trajectory. By investigating how these systemic barriers impact admissions to neurosurgical training programs and professional advancement, the paper underscores the complexity of meritocracy in neurosurgery, suggesting that the meritocratic ideal is more nuanced and influenced by external variables than commonly believed. Results: Certain universities deemed elite offer a curriculum divergent from that of their counterparts in low and middle-income countries. Students at these "elite" institutions gain exposure to new technologies and research incentives, which brings us to the realm of research. Remarkably, 75% of articles originating from developed nations account for just 25% of traumatic brain injury cases. This disparity highlights a significant research imbalance, and the common refrain underscores the need to bolster research capabilities in low-income countries. For neurosurgeons in the developing world, engaging in research often becomes a luxury due to multifaceted challenges. Financial barriers, including publication costs and paywalls for accessing articles, pose significant hurdles. Comparing salaries between countries underscores the glaring divide according to "Neurosurgeon Salary" in 2024. Neurosurgeons in the United States receive a median salary of $412,000 dollars per year, compared to $13,200 dollars in Latin America, as of June 2023. Given such incongruities, the prospect of even attending conferences or workshops abroad remains difficult for neurosurgeons from developing nations. Research isn't cast aside due to a lack of interest but due to resource limitations. The present landscape demands reconsideration. Conclusion: We underscore the journey towards a more inclusive and equitable future in neurosurgery as not just a goal, but a dynamic process fuelled by resilience, collaboration, and a commitment to diversity. The narrative promotes a collective endeavour to dismantle barriers and embrace innovation, emphasizing the importance of mentorship, cross-institutional collaboration, and the amplification of underrepresented voices.