Evidence map›Paper›PMID 41090910›Full record

ArticleNeurosurgery2026

Resectability of White Matter Tracts in Patients With Language-Critical Gliomas.

Matthew T Muir, Kyle Noll, Jeffrey I Traylor, Rajan Patel, Vinodh A Kumar, Sujit S Prabhu, Ping Hou, Ho-Ling Liu, R Jason Stafford, Brian A Taylor

Abstract read
In one paragraph

Article in Neurosurgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Matthew T MuirDepartment of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston , Texas , USA.
Kyle NollDepartment of Neuro-Oncology, The University of Texas M.D. Anderson Cancer Center, Houston , Texas , USA.
Jeffrey I TraylorDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas , Texas , USA.
Rajan PatelDepartment of Neurosurgery, The University of Texas M.D. Anderson Cancer Center, Houston , Texas , USA.
Vinodh A KumarDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston , Texas , USA.
Sujit S PrabhuDepartment of Neurosurgery, The University of Texas M.D. Anderson Cancer Center, Houston , Texas , USA.
Ping HouDepartment of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston , Texas , USA.
Ho-Ling LiuDepartment of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston , Texas , USA.
R Jason StaffordDepartment of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston , Texas , USA.
Brian A TaylorDepartment of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston , Texas , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesAchieving maximal safe resections is critical for patients with language-eloquent gliomas. White matter tracts (WMTs) may offer valuable insights for surgical decision making, but the resectability of specific tracts remains unclear. In this study, we aim to identify predictors of permanent postoperative language deficits (PLDs) using resections of WMTs, illuminating the functional relevance of specific white matter segments.

methodsThis retrospective cohort study analyzed 78 consecutive glioma patients undergoing resection of language-eloquent tumors. WMT reconstructions were performed for 6 language-associated tracts. Tracts were parcellated according to anatomic location. The positive predictive value (PPV-tract resections with PLDs divided by total tract resections) was calculated for each tract segment. Resected tract segments (RTS) were normalized to Montreal Neurological Institute space.

resultsWMT resection strongly predicted PLDs (odds ratio = 16.00, P = .0115), with high negative predictive value (NPV, 97.4%), but low PPV (29.6%). RTS in patients with PLDs clustered within the white matter of the temporoparietal junction and middle temporal lobe. RTS without sequela localized more diffusely, with notable concentrations in the frontal operculum, anterior temporal lobe, and orbitofrontal region. Tract segments in the frontal lobe demonstrated near-complete resectability (frontal arcuate fasciculus [AF], frontal inferior fronto-occipital fasciculus, frontal uncinate fasciculus, frontal superior longitudinal fasciculus PPV = 0). Tract segments in the parietal and temporal lobe demonstrated significantly less resectability (parietal AF PPV = 0.4; temporal AF PPV = 1; temporal inferior fronto-occipital fasciculus PPV = 0.5; temporal inferior longitudinal fasciculus PPV = 0.5). The volume of tract resected did not significantly differ according to functional outcome (U = 84.0, P = .70). Resections of parietal and temporal tract segments robustly predicted PLDs (odds ratio = 29.4, P < .001), with a notable increase in PPV (50%) compared with the generalized model.

conclusionThis study demonstrates that resecting WMTs is a robust predictor of PLDs. WMTs in the orbitofrontal region, anterior temporal lobe, and frontal operculum were resectable whereas tract resections in the parietal and temporal lobes significantly increased risk of PLDs.

Indexed as

Brain NeoplasmsGliomaLanguageLanguage DisordersNeurosurgical ProceduresWhite MatterAdultAgedCohort StudiesDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedRetrospective StudiesYoung AdultAphasiaGliomaLanguage eloquentSurgeryTractographyWhite matter tracts

Identifiers

PMID41090910
PMCPMC13236025

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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.