Evidence map›Paper›PMID 39946091›Full record

ArticleNeuro-oncology2025

Glioma-white matter tract interactions: A diffusion magnetic resonance imaging-based 3-tier classification and its clinical relevance.

Jie Hu, Hongbo Bao, Xing Liu, Shengyu Fang, Zeya Yan, Zihan Wang, Renwu Zhang, Ruiyang Wang, Tingting Pu, Chao Li and 3 more

Abstract read
In one paragraph

Article in Neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

13 authors.

Jie HuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0009-0002-0608-6637
Hongbo BaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xing LiuBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Shengyu FangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zeya YanDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zihan WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Renwu ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ruiyang WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Tingting PuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Chao LiCambridge Brain Tumor Imaging Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Zaixu CuiChinese Institute for Brain Research, Beijing, China.
Tao JiangBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Yinyan WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

Beijing Natural Science Foundation Key Project L241027Beijing Natural Science Foundation Young Scientists Project JQ23040Hebei Key Research and Development Project 22377718DNational Natural Science Foundation of China 82203170
6 · The paper itself

Abstract

backgroundThis study proposed a classification system for the interaction between gliomas and white matter tracts, exploring its potential associations with clinical characteristics, tumor pathological subtypes, and patient outcomes.

methodsClinical data and diffusion magnetic resonance imageing (dMRI) from 360 glioma patients who underwent craniotomy were analyzed. Using automatic fiber tractography, glioma-tract relationships were categorized into 3 types: displacement, infiltration, and disruption. Double immunohistochemical staining for isocitrate dehydrogenase (IDH) and myelin basic protein was performed on neuronavigation-guided tissue samples to validate the imaging-based classifications. The clinical implications of these classifications on the extent of tumor resection, postoperative motor function, and survival outcomes were evaluated.

resultsAmong the patients, 35 (9.7%) were categorized as displacement type, 283 (78.6%) as infiltration type, and 42 (11.7%) as disruption type. Disruption-type tracts were predominantly associated with IDH wild-type gliomas (87.2%), significantly higher than infiltration (28.5%) and displacement types (23.5%) (P < .001). Displacement and infiltration types were more common in IDH-mutant gliomas (P < .001). Displacement-type tracts were significantly associated with higher rates of gross tumor resection compared to infiltration types (P = .015). In corticospinal tract involved cases, displacement-type tumors demonstrated no significant postoperative motor strength changes, whereas infiltration (P < .001) and disruption types (P = .013) were highly associated with postoperative motor deficits. Histological results aligned with dMRI-based classifications.

conclusionsThis dMRI-based classification of glioma-tract interactions is significantly associated with tumor pathology, resection outcomes, functional prognosis, and survival, providing a valuable tool for personalized and precise surgical planning.

Indexed as

Brain NeoplasmsDiffusion Magnetic Resonance ImagingGliomaWhite MatterAdolescentAdultAgedChildClinical RelevanceDiffusion Tensor ImagingFemaleFollow-Up StudiesHumansIsocitrate DehydrogenaseMaleMiddle AgedIsocitrate Dehydrogenaseclassificationdiffusion magnetic resonance imaginggliomawhite matter tracts

Identifiers

PMID39946091
PMCPMC12417821

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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.