Clinical Advances in Neurooncology and Personalized Neurosurgery

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Personalized Therapy in Clinical Medicine".

Deadline for manuscript submissions: closed (30 September 2025) | Viewed by 247

Special Issue Editors


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Guest Editor
Department of Neurosurgery, Borsod County Teaching Hospital, 3526 Miskolc, Hungary
Interests: brain tumors; spine tumors; neuro-oncoligy; microbiom; neurointerventional procedures; functional foods

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Guest Editor
Faculty of Medicine, Department of Neurosurgery and Neurointervention, Semmelweis University, 1085 Budapest, Hungary
Interests: brain tumors; spine tumors; neuro-oncoligy; microbiom

Special Issue Information

Dear Colleagues,

The Special Issue of JPM titled "Clinical Advances in Neurooncology and Personalized Neurosurgery" provides a comprehensive overview of the latest advancements and best practices in the fields of personalized neurosurgery and neuro-oncology. The aim of the Special Issue is to allow leading experts in the disciplines to present cutting-edge research, techniques, and preclinical and clinical experiences in the fields of neurosurgery and neuro-oncology.

Topics covered include innovative surgical approaches, emerging technologies, perioperative care, patient outcomes, and interdisciplinary collaboration in the personalized treatment of brain and spine tumors. The Special Issue focuses on research articles and reviews, emphasizing the exclusion of case reports to maintain a high level of scientific rigor.

Our goal is to present the most effective and safest treatment options currently available for central nervous system tumors, as well as those treatments currently in the preclinical and clinical research phase that may rewrite our treatment algorithms. This compilation serves as a valuable resource for healthcare professionals, researchers, and medical students interested in staying current with the rapidly evolving landscape of neuro-oncology and neurosurgery .

Dr. Csaba Zsolt Oláh
Dr. László Sipos
Guest Editors

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Keywords

  • neuro-oncology
  • brain surgery
  • spine surgery
  • surgical techniques
  • quality of life
  • patient outcomes
  • interdisciplinary treatment
  • artificial intelligence
  • cutting-edge oncological treatments
  • radiotherapy, radiosurgery
  • microbiome aneurysm, perimesencephalic subarachnoid hemorrhage, COVID
  • microbiome
  • brain abscess, bacterium, fungi

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Published Papers (1 paper)

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13 pages, 904 KB  
Systematic Review
Precision in Practice: A Systematic Review and Meta-Analysis of Intraoperative Neurophysiological Monitoring for Optimizing Outcomes in Extramedullary Spinal Cord Tumor Resection
by Raja Narendra Divakar Addanki, Benjamin B. Lee, Katherine M. Anetakis, Jeffrey R. Balzer and Parthasarathy D. Thirumala
J. Pers. Med. 2025, 15(11), 513; https://doi.org/10.3390/jpm15110513 - 30 Oct 2025
Abstract
Background/Objectives: Intraoperative neurophysiological monitoring (IONM) is used to detect and prevent neurological injury during extramedullary spinal cord tumor (EMSCT) resection, but its diagnostic accuracy lacks systematic validation with recent evidence. This meta-analysis evaluates the performance of somatosensory evoked potentials (SSEPs), transcranial motor evoked [...] Read more.
Background/Objectives: Intraoperative neurophysiological monitoring (IONM) is used to detect and prevent neurological injury during extramedullary spinal cord tumor (EMSCT) resection, but its diagnostic accuracy lacks systematic validation with recent evidence. This meta-analysis evaluates the performance of somatosensory evoked potentials (SSEPs), transcranial motor evoked potentials (TcMEPs), and multimodal (SSEP + TcMEP) IONM in predicting deficits during EMSCT resections. Methods: Following PRISMA-DTA guidelines, we searched MEDLINE, PubMed, and Ovid (inception to April 2025) for studies on IONM in EMSCT surgeries (PROSPERO: CRD420251047345). Pooled sensitivity, specificity, and reversibility metrics were calculated using bivariate models, with quality assessed via QUADAS-2. Z-test and Bayesian meta-analysis were used for comparisons. Results: Across 20 studies (2672 patients), multimodal IONM showed a log DOR of 4.310 (95% CI: 3.581–5.039) and an AUC of 94.2%, TcMEP monitoring showed a log DOR of 4.367 (95% CI: 3.765–5.127) and an AUC of 92%, while SSEP monitoring showed a log DOR of 3.463 (95% CI: 2.702–4.224) and an AUC of 82%. All modalities demonstrated high specificity (>95%), indicating low false-positive rates. Bayesian analysis revealed >90% probability that TcMEP-based approaches were superior to SSEPs. Reversible TcMEP changes were associated with an 11% (95% CI: 4–24%) postoperative deficit rate, compared to 35% (95% CI: 12–67%) for SSEPs. Conclusions: These findings caution against relying solely on SSEPs and support the use of multimodal IONM strategies, which enhance early detection of impending neurological injury, enable timely surgical interventions, and help prevent permanent neurological damage in EMSCT resections. Although TcMEP and multimodal monitoring showed similar diagnostic accuracy, we continue to recommend multimodal approaches as the current standard of care, pending prospective studies to determine if TcMEP alone can reliably replace multimodal monitoring. Full article
(This article belongs to the Special Issue Clinical Advances in Neurooncology and Personalized Neurosurgery)
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