ArticleJCO clinical cancer informatics2019
Comparing Glioblastoma Surgery Decisions Between Teams Using Brain Maps of Tumor Locations, Biopsies, and Resections.
Article in JCO clinical cancer informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.
- Imaging Biomarkers of Glioblastoma Treatment Response: A Systematic Review and Meta-Analysis of Recent Machine Learning Studies.Frontiers in oncology · 2022Pooled it
- Clinical Risk and Overall Survival in Patients with Diabetes Mellitus, Hyperglycemia and Glioblastoma Multiforme. A Review of the Current Literature.International journal of environmental research and public health · 2020Pooled it
- Awake Craniotomy in Patients With Language Deficits: A Retrospective Cohort Study in 48 Patients.Operative neurosurgery (Hagerstown, Md.) · 2026Article
- Article
- Between-hospital variation in biopsy indication for patients with newly diagnosed glioblastoma in the Dutch Quality Registry for Neurosurgery.Journal of neuro-oncology · 2025Article
- Functional-guided frameless stereotactic biopsy of highly eloquent brain tumors.Brain & spine · 2025Article
- Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice.The Lancet. Oncology · 2024Review
- Survival Determinants in Glioblastoma: An Insight into Biopsy-Only Patient Outcomes.Biomedicines · 2024Article
- Glioma lateralization: Focus on the anatomical localization and the distribution of molecular alterations (Review).Oncology reports · 2024Review
- Causal relationship between type 2 diabetes and glioblastoma: bidirectional Mendelian randomization analysis.Scientific reports · 2024Article
- Association between the Anatomical Location of Glioblastoma and Its Evaluation with Clinical Considerations: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2024Review
- Multi-class glioma segmentation on real-world data with missing MRI sequences: comparison of three deep learning algorithms.Scientific reports · 2023Article
- Surgical resection of glioblastoma in basal ganglia and utility of exoscope: Technical case reports.Surgical neurology international · 2023Article
- What surgical approach for left-sided eloquent glioblastoma: biopsy, resection under general anesthesia or awake craniotomy?Journal of neuro-oncology · 2022Article
- Decision making and surgical modality selection in glioblastoma patients: an international multicenter survey.Journal of neuro-oncology · 2022Article
- High-Grade Glioma Treatment Response Monitoring Biomarkers: A Position Statement on the Evidence Supporting the Use of Advanced MRI Techniques in the Clinic, and the Latest Bench-to-Bedside Developments. Part 1: Perfusion and Diffusion Techniques.Frontiers in oncology · 2022Review
- Functional maps of direct electrical stimulation-induced speech arrest and anomia: a multicentre retrospective study.Brain : a journal of neurology · 2021Article
- Survival of glioblastoma in relation to tumor location: a statistical tumor atlas of a population-based cohort.Acta neurochirurgica · 2021Article
- Article
- What effects does awake craniotomy have on functional and survival outcomes for glioblastoma patients?Journal of neuro-oncology · 2021Article
Corrections and comments
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Authors and funding
16 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of glioblastoma surgery is to maximize the extent of resection while preserving functional integrity, which depends on the location within the brain. A standard to compare these decisions is lacking. We present a volumetric voxel-wise method for direct comparison between two multidisciplinary teams of glioblastoma surgery decisions throughout the brain.
methodsAdults undergoing first-time glioblastoma surgery from 2012 to 2013 performed by two neuro-oncologic teams were included. Patients had had a diagnostic biopsy or resection. Preoperative tumors and postoperative residues were segmented on magnetic resonance imaging in three dimensions and registered to standard brain space. Voxel-wise probability maps of tumor location, biopsy, and resection were constructed for each team to compare patient referral bias, indication variation, and treatment variation. To evaluate the quality of care, subgroups of differentially resected brain regions were analyzed for survival and functional outcome.
resultsOne team included 101 patients, and the other included 174; 91 tumors were biopsied, and 181 were resected. Patient characteristics were largely comparable between teams. Distributions of tumor locations were dissimilar, suggesting referral bias. Distributions of biopsies were similar, suggesting absence of indication variation. Differentially resected regions were identified in the anterior limb of the right internal capsule and the right caudate nucleus, indicating treatment variation. Patients with (n = 12) and without (n = 6) surgical removal in these regions had similar overall survival and similar permanent neurologic deficits.
conclusionProbability maps of tumor location, biopsy, and resection provide additional information that can inform surgical decision making across multidisciplinary teams for patients with glioblastoma.
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