Probing the glioma micro-environment: analysis using biopsy in combination with ultra-fast cyclic immunolabeling.

The interaction between gliomas and the immune system is poorly understood and thus hindering development of effective immunotherapies for glioma patients. The immune response is highly variable during tumor development, and affected by therapies such as surgery, radiation, and chemotherapy. Currently, analysis of these local changes is difficult due to poor accessibility of the tumor and high-morbidity of sampling. In this study, we developed a model for repeat-biopsy in mice to study these local immunological changes over time. Using fine needle biopsy we were able to safely and repeatedly collect cells from intracranial tumors in mice. Ultra-fast cycling technology (FAST) was used for multi-cycle immunofluorescence of retrieved cells, and provided insights in the changing immune response over time. The combination of these techniques can be utilized to study changes in the immune response in glioma or other intracranial diseases over time, and in response to treatment within the same animal.

Medical Malpractice in Neurosurgery: An Analysis of Claims in the Netherlands.

BACKGROUND AND OBJECTIVES: Studying malpractice claims is important to improve quality of health care and patient safety and to educate the individual healthcare providers. The objective of this study was to describe characteristics of neurosurgical claims in the Netherlands. METHODS: A nationwide retrospective observational study of neurosurgery-related claims closed by Centramed and MediRisk, 2 major insurance companies in the Netherlands, was performed. Relevant data, including type of neurosurgical pathology, theme and category of the claim, type and severity of injury, outcome, and financial burden, were extracted from anonymized claim files. The estimated annual risk was used to determine the risk for claims by adjusting for the number of annually practicing neurosurgeons in the Netherlands. RESULTS: A total of 388 claims against neurosurgeons were closed between 2007 and 2021. Liability was denied in a slight majority of claims (n = 230; 59%). The total burden during this period was €6 165 000 (amount paid out to patients: €5 497 000). The estimated annual risk per Dutch neurosurgeon for a claim was 15.5%, meaning 1 claim per 6.5 years. The case-level analysis of 238 available anonymized claims revealed that most claims were related to spinal pathology (81.5%), followed by cranial pathology (10.9%) and peripheral nerve (7.6%). The motivations for filing claims were mostly related to alleged surgical (56.3%) or diagnostic errors (22.3%). Most of these claims were denied (151/238; 63.4%), and fewer were settled (42/238; 17.6%), sustained (31/238; 13.0%), or closed without final decision (14/238; 5.9%). CONCLUSION: Neurosurgery-related malpractice claims primarily involved spinal pathology and were mostly related to alleged treatment errors. Most claims did not result in compensation because there seemed to be no liability or culpable injury. However, the annual risk for a claim for Dutch neurosurgeons is considerable.

Overcoming Barriers in Glioblastoma-Advances in Drug Delivery Strategies.

The world of cancer treatment is evolving rapidly and has improved the prospects of many cancer patients. Yet, there are still many cancers where treatment prospects have not (or hardly) improved. Glioblastoma is the most common malignant primary brain tumor, and even though it is sensitive to many chemotherapeutics when tested under laboratory conditions, its clinical prospects are still very poor. The blood-brain barrier (BBB) is considered at least partly responsible for the high failure rate of many promising treatment strategies. We describe the workings of the BBB during healthy conditions and within the glioblastoma environment. How the BBB acts as a barrier for therapeutic options is described as well as various approaches developed and tested for passing or opening the BBB, with the ultimate aim to allow access to brain tumors and improve patient perspectives.

External validation of the lung-molGPA to predict survival in patients treated with stereotactic radiotherapy for brain metastases of non-small cell lung cancer.

BACKGROUND: In the era of personalized medicine, individualized prognostic models with tumor characteristics are needed to inform patients about survival. Before clinical use, external validation of such models by an independent group is needed. An updated version of the graded prognostic assessment (GPA) estimates survival in patients with brain metastases (BMs) of non-small cell lung cancer (NSCLC). This is the first external validation of the updated Lung-molGPA in patients treated with stereotactic radiotherapy (SRT) for one or more BMs. MATERIALS AND METHODS: Patients treated with SRT for BMs from NSCLC adenocarcinoma were retrospectively included. GPA score was calculated for each patient based on six prognostic factors including age, Karnofsky Performance Status, number of BMs, extracranial metastases, EGFR/ALK status, and PD-L1 expression. Kaplan-Meier analysis evaluated survival probability. Impact of individual prognostic factors on survival was assessed by univariate and multivariate analyses using the Cox proportional hazard model. Predictive performance was evaluated using discrimination (C-statistic) and calibration (Brier test). RESULTS: The cohort (n = 241) was divided into four prognostic groups. Overall median survival was 15 months. Predicted and observed median survival were similar between the original and validation cohorts, apart from the most favorable prognostic group. With adequate C-statistics and Brier scores, the Lung-molGPA provided accurate survival predictions. CONCLUSION: The Lung-molGPA accurately predicted survival in our European population, except for an overestimation of survival in the small most favorable prognostic group. This prognostic model was externally validated and is therefore useful for counseling of patients with BMs of NSCLC adenocarcinoma.

Whole genome sequencing in (recurrent) glioblastoma: challenges related to informed consent procedures and data sharing.

Increased use of whole genome sequencing (WGS) in neuro-oncology for diagnostics and research purposes necessitates a renewed conversation about informed consent procedures and governance structures for sharing personal health data. There is currently no consensus on how to obtain informed consent for WGS in this population. In this narrative review, we analyze the formats and contents of frameworks suggested in literature for WGS in oncology and assess their benefits and limitations. We discuss applicability, specific challenges, and legal context for patients with (recurrent) glioblastoma. This population is characterized by the rarity of the disease, extremely limited prognosis, and the correlation of the stage of the disease with cognitive abilities. Since this has implications for the informed consent procedure for WGS, we suggest that the content of informed consent should be tailor-made for (recurrent) glioblastoma patients.

Developer perspectives on the ethics of AI-driven neural implants: a qualitative study.

Convergence of neural implants with artificial intelligence (AI) presents opportunities for the development of novel neural implants and improvement of existing neurotechnologies. While such technological innovation carries great promise for the restoration of neurological functions, they also raise ethical challenges. Developers of AI-driven neural implants possess valuable knowledge on the possibilities, limitations and challenges raised by these innovations; yet their perspectives are underrepresented in academic literature. This study aims to explore perspectives of developers of neurotechnology to outline ethical implications of three AI-driven neural implants: a cochlear implant, a visual neural implant, and a motor intention decoding speech-brain-computer-interface. We conducted semi-structured focus groups with developers (n = 19) of AI-driven neural implants. Respondents shared ethically relevant considerations about AI-driven neural implants that we clustered into three themes: (1) design aspects; (2) challenges in clinical trials; (3) impact on users and society. Developers considered accuracy and reliability of AI-driven neural implants conditional for users' safety, authenticity, and mental privacy. These needs were magnified by the convergence with AI. Yet, the need for accuracy and reliability may also conflict with potential benefits of AI in terms of efficiency and complex data interpretation. We discuss strategies to mitigate these challenges.

European Medical Students' Views on Neurosurgery, with Emphasis on South-East Europe (Albania, Greece, Serbia, and Turkey).

BACKGROUND: Neurosurgery, an intricate and dynamic surgical specialty, faces challenges in attracting medical graduates. Despite its potential appeal, a decreasing trend in medical students opting for surgical specialties, including neurosurgery, is noted. This study aims to assess European medical students' perceptions of neurosurgery, focusing on South-East Europe, and address concerns about the declining interest in this field. METHODS: A comprehensive digital survey, comprising 33 questions, was distributed to 1115 medical students across 17 European countries. The survey, conducted over 9 months, gathered responses through European neurosurgical societies, the European Association of Neurosurgical Societies (EANS), and university channels. Statistical analysis utilized IBM Statistical Package for the Social Sciences, presenting data through counts, proportions, and χ2 tests. RESULTS: The study reveals that, over the survey period, 834 medical students completed the questionnaire, with a predominant representation from South-East Europe. While 43.2% of participants were considering a surgical career, neurosurgery emerged as the most preferred specialty (26.37%). Despite this interest, 80.2% reported insufficient knowledge about pursuing a neurosurgical career, with limited exposure during medical education. Concerns about work-life balance, heavy workload, and hierarchical structures were prominent among respondents. CONCLUSIONS: The findings underscore the need for targeted interventions to address concerns influencing medical students' decisions regarding neurosurgery. Improving neurosurgical education, dispelling misconceptions, and creating a supportive work environment are crucial steps to attract and retain diverse talented individuals in neurosurgery. These efforts will be vital in narrowing the gap between the demand for neurosurgeons and the number of medical graduates entering the field, ensuring a sustainable future for this essential surgical specialty.

Next generation sequencing of high-grade adult-type diffuse glioma in the Netherlands: interlaboratory variation in the primary diagnostic and recurrent setting.

PURPOSE: Next generation sequencing (NGS) is an important tool used in clinical practice to obtain the required molecular information for accurate diagnostics of high-grade adult-type diffuse glioma (HGG). Since individual centers use either in-house produced or standardized panels, interlaboratory variation could play a role in the practice of HGG diagnosis and treatment. This study aimed to investigate the current practice in NGS application for both primary and recurrent HGG. METHODS: This nationwide Dutch survey used the expertise of (neuro)pathologists and clinical scientists in molecular pathology (CSMPs) by sending online questionnaires on clinical and technical aspects. Primary outcome was an overview of panel composition in the different centers for diagnostic practice of HGG. Secondary outcomes included practice for recurrent HGG and future perspectives. RESULTS: Out of twelve neuro-oncology centers, the survey was filled out by eleven (neuro)pathologists and seven CSMPs. The composition of the diagnostic NGS panels differed in each center with numbers of genes ranging from 12 to 523. Differences are more pronounced when tests are performed to find therapeutic targets in the case of recurrent disease: about half of the centers test for gene fusions (60%) and tumor mutational burden (40%). CONCLUSION: Current notable interlaboratory variations as illustrated in this study should be reduced in order to refine diagnostics and improve precision oncology. In-house developed tests, standardized panels and routine application of broad gene panels all have their own advantages and disadvantages. Future research would be of interest to study the clinical impact of variation in diagnostic approaches.