Evidence map›Paper›PMID 42083734›Full record

ArticleAnnals of clinical and translational neurology2026

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival.

Daniel J Zhou, Marc Jaskir, Julian Gal, Yombe Fonkeu, Christos Davatzikos, MacLean P Nasrallah, Jose Garcia, Rubo Xing, Stephen J Bagley, Arati Desai and 7 more

Abstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Daniel J ZhouDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-0154-8348
Marc JaskirCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Julian GalDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Yombe FonkeuDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Christos DavatzikosDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
MacLean P NasrallahCenter for Artificial Intelligence and Data Science for Integrated Diagnostics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jose GarciaCenter for Artificial Intelligence and Data Science for Integrated Diagnostics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Rubo XingCenter for Artificial Intelligence and Data Science for Integrated Diagnostics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Stephen J BagleyDivision of Hematology/Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Arati DesaiDivision of Hematology/Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Richard E PhillipsDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Steven TobochnikCenter for Neuro-Oncology, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-9071-8398
Colin A EllisDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
James J GuggerDepartment of Neurology, University of Rochester, Rochester, New York, USA.
Nishant SinhaCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Joel M SteinCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Kathryn A DavisDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

Training Program in Neuroengineering and MedicineT32NS091006 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Brian Litt · 2015 to 2026
$4.1M
Remapping neurology through translation and innovationT32NS091008 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI AGUIRRE, GEOFFREY KARL, JENSEN, FRANCES E · 2015 to 2024
$3.0M
Scalable methods to quantify epileptic network and guide epilepsy surgeryK99NS138680 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SINHA, NISHANT · 2024 to 2025
$298k
American Epilepsy Society Research and Training Fellowship for Clinicians 1282834NINDS NIH HHS 5T32NS091006-10NINDS NIH HHS 5T32NS091008-07NINDS NIH HHS K99 NS138680NINDS NIH HHS K99NS138680NINDS NIH HHS T32 NS091006NINDS NIH HHS T32 NS091008
6 · The paper itself

Abstract

objectiveWe aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients.

methodsPatients with IDH-wildtype glioblastoma who received brain MRI from 2010 to 2023 were included. The enhancing tumor, necrotic core, and edema/infiltration volumes were automatically segmented across brain regions. Multivariable regression assessed associations between regional volumes, presenting symptomatology, and survival outcomes.

resultsOf 526 patients analyzed, initial presentations included seizure (29%), aphasia (26%), confusion (25%), headache (24%), focal weakness (22%), memory problems (20%), ataxia (16%), visual field deficits (11%), personality change (10%), and focal sensory abnormalities (7%). Distinct regional tumor patterns emerged: seizures were associated with smaller overall tumor burden but with relatively greater cortical involvement, headache with increased subcortical volumes, confusion with left hemisphere and temporal involvement, personality changes with frontal-cingulate-basal ganglia involvement, and focal neurologic deficits with mostly predictable patterns. While no initial presentation correlated with survival, the presence of postoperative seizures was associated with improved overall survival. Increased volume of enhancing tumor, particularly in the insula and brainstem, was associated with worse overall survival.

interpretationAnatomical tumor distribution provided prognostic information beyond overall tumor burden in glioblastoma. Regional patterns expand on the anatomical basis of symptoms. The survival benefit associated with postoperative seizures suggests distinct tumor biology or microenvironmental factors. Incorporating regional characteristics into clinical and prognostic models may improve risk stratification and inform treatment planning.

Indexed as

clinical presentationglioblastomaMRIseizuresurvival

Identifiers

PMID42083734
PMCPMC13394094

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.