Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.1
2.4
Journals
Medicina
Special Issues
Neurosurgery for Brain or Spine Tumors: Recent Technical Advances
share announcement

Neurosurgery for Brain or Spine Tumors: Recent Technical Advances

A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Neurology".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 1735

Special Issue Editors

Dr. Bartosz Sokół

E-Mail Website
Guest Editor
Department of Neurosurgery, Józef Struś Multi-Specialty Municipal Hospital, ul. Szwajcarska 3, 61-285 Poznan, Poland
Interests: neurosurgical techniques; spinal surgery; neurooncology; neurodegenerative diseases
Dr. Ondra Petr

E-Mail Website
Guest Editor
Department of Neurosurgery, Medical University Innsbruck, 6020 Innsbruck, Austria
Interests: brain tumors; neuro-oncology; spine; aneurysm; neurosurgery; surgery; stereotactic radiosurgery; minimally invasive surger; glioma

Special Issue Information

Dear Colleagues,

This Special Issue, "Neurosurgery for Brain or Spine Tumors: Recent Technical Advances", aims to explore the latest innovations and techniques in neurosurgical treatments for brain and spine tumors. With rapid advancements in technology and surgical methods, this issue will highlight key developments such as minimally invasive procedures, robot-assisted surgeries, and the integration of intraoperative imaging and neuro-navigation systems. It will also focus on the evolving role of precision medicine, genetic and molecular profiling, and novel therapeutic strategies like immunotherapy in the management of brain and spine tumors. Despite technological breakthroughs in these areas, challenges persist in ensuring optimal patient outcomes. This Special Issue seeks to bring together original research, reviews, and case studies to further our understanding of these techniques, their clinical applications, and their impact on survival and quality of life for patients with brain and spine tumors.

Dr. Bartosz Sokół
Dr. Ondra Petr
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Medicina is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • neurosurgery
  • brain tumors
  • spine tumors
  • minimally invasive surgery
  • robot-assisted surgery
  • neuro-navigation
  • intraoperative imaging
  • precision medicine
  • molecular profiling
  • immunotherapy

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 2074 KB  
Article
EVD-Associated Infections in Subarachnoid Hemorrhage: Risk Factors and Clinical Predictions—A Retrospective Single-Center Study
by Hraq Sarkis, Abed Alrazzak Kerhani, Ann-Kathrin Joerger, Carolin Albrecht, Chiara Negwer, Maria Wostrack, Arthur Wagner and Bernhard Meyer
Medicina 2025, 61(11), 2058; https://doi.org/10.3390/medicina61112058 - 19 Nov 2025
Viewed by 1295
Abstract
Background and Objectives: External ventricular drain (EVD)-associated infections are a serious complication in subarachnoid hemorrhage (SAH) patients, with reported incidence rates of 1–45%. Existing prediction models show limited performance and focus on the static risk factors assessed at insertion, failing to examine how [...] Read more.
Background and Objectives: External ventricular drain (EVD)-associated infections are a serious complication in subarachnoid hemorrhage (SAH) patients, with reported incidence rates of 1–45%. Existing prediction models show limited performance and focus on the static risk factors assessed at insertion, failing to examine how infection risk changes over time. We sought to identify the independent predictors of EVD infections in SAH patients and develop a practical clinical prediction model. Materials and Methods: We retrospectively analyzed 198 SAH patients with EVDs treated at our center between January 2022 and April 2025, collecting 4757 laboratory observations throughout their hospital stay. Univariate and multivariate logistic regression analyses were performed to identify the independent risk factors and develop a clinical prediction model. Results: Of 198 patients undergoing EVD insertion for SAH, 49 developed associated infections (24.7%). Univariate analysis identified several significant risk factors, including EVD duration (Cohen’s d = 1.00, p < 0.001), EVD revisions (d = 1.11, p < 0.001), Hunt & Hess grade ≥ 4 (p = 0.011), and peak laboratory values, including CSF lactate (d = 0.53, AUC = 0.79), CSF protein (d = 0.52, AUC = 0.74), CSF glucose (d = 0.63, AUC = 0.73), and procalcitonin (d = 0.58, AUC = 0.75). However, multivariate analysis revealed that only EVD duration retained statistical significance (adjusted OR = 3.50 per continuous day; 95% CI: 2.11–5.78; p < 0.000001); note that continuous daily scale modeling implies exponential risk escalation (3.5-fold increase per single day). For clinical interpretation, categorical duration analysis provides more conservative estimates: 8–14 days versus ≤7-day reference OR = 1.92 (p = 0.013), and >14 days versus ≤7-day reference OR = 3.70 (p < 0.001). All other variables lost statistical independence after mutual adjustment. Infection rates demonstrated a dose–response relationship with EVD duration: 11.1% for ≤7 days, 19.3% for 8–14 days, and 31.6% for >14 days. The final prediction model achieved good discrimination (AUC = 0.737). Conclusions: EVD duration emerged as the dominant predictor of infection risk in SAH patients, which is a traditional factor. These findings support clinical protocols that prioritize minimizing drain duration whenever medically appropriate, shifting focus from complex risk scoring to time-based management strategies. Full article
(This article belongs to the Special Issue Neurosurgery for Brain or Spine Tumors: Recent Technical Advances)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop