Evidence map›Paper›PMID 41925814›Full record

ArticleEuropean radiology experimental2026

7-T MRI intratumoral susceptibility signals reflect biomarker status in gliomas.

Fengwei Yu, Ke Li, Zilong Li, Suyi Zhou, Wei Chen, Chaodong Xiang, Jiafei Chen, Zhentao Zuo, Zhiming Zhen, Wei Chen

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Article in European radiology experimental, 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

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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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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Fengwei Yu *7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Ke Li *7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Zilong Li7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Suyi Zhou7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Wei ChenMR Research Collaboration Team, Siemens Healthineers Ltd., Guangzhou, China.
Chaodong Xiang7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Jiafei Chen7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Zhentao ZuoState Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Zhiming Zhen7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China. zhenzhiming@aifmri.com.
Wei Chen7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China. landcw@tmmu.edu.cn.ORCID http://orcid.org/0000-0002-6829-9067

Funding

The 7T Magnetic Resonance Special Project 20247TZD01
6 · The paper itself

Abstract

objectiveTo evaluate whether 7-T susceptibility-weighted imaging (SWI) can predict glioma's histological grade, Ki-67 labeling index (LI), isocitrate dehydrogenase 1 (IDH1) mutation, 1p/19q co-deletion, telomerase reverse transcriptase (TERT) promoter mutation, and O-6-methylguanine-DNA-methyltransferase (MGMT) promoter methylation status of gliomas. MATERIALS AND

methodsWe retrospectively analyzed 7-T SWI in 60 patients with glioma. The Mann-Whitney U test compared the intratumoral susceptibility signals (ITSS) grade across molecular markers, with ITSS defined as fine linear or dot-like low signal areas on SWI. Predictive efficacy was assessed using receiver operating characteristic (ROC) analysis and multivariate logistic regression models. Path analysis evaluated the relationships between ITSS grade and molecular markers.

resultsGliomas with high ITSS grade showed higher histological grade, Ki-67 LI, and TERT mutation rates compared to those with low ITSS grade, mostly being wild-type gliomas. ITSS grade predicted the histological grade, Ki-67 LI, and TERT status (area under the ROC curve = 0.769‒0.817). Multivariate logistic regression analysis identified Ki-67 LI and TERT status as independent predictors of high ITSS grade. Path analysis indicated direct effects of Ki-67 LI and TERT mutation on ITSS grade, and an indirect effect of IDH1 mutation on ITSS grade mediated through Ki-67 LI.

conclusion7-T SWI-derived ITSS grade predicts histologic grade, Ki-67 LI, and TERT promoter mutation status in gliomas. Ki-67 LI and TERT mutation exert relatively independent effects on ITSS grade and allow reverse inference of their status from SWI, whereas IDH1 mutation influences ITSS grade indirectly via Ki-67 LI. RELEVANCE STATEMENT: This study establishes a connection between preoperative imaging and molecular glioma pathology via 7-T SWI. It helps to reveal the in vivo characteristics of pathology and promotes collaboration among radiologists, pathologists, and clinicians, which a great clinical potential. KEY POINTS: A 7-T susceptibility-weighted MRI-based intratumoral susceptibility signal (ITSS) grading system enables precise detection of glioma microbleeds and neovascularization. 7-T susceptibility-weighted MRI-derived ITSS grade noninvasively predicts histologic grade, Ki-67 labeling index, and telomerase reverse transcriptase (TERT) promoter mutation status in gliomas. Path analysis suggested that molecular markers relate to ITSS grade through distinct pathways, with Ki-67 and TERT exerting direct effects and isocitrate dehydrogenase 1 influencing ITSS grade indirectly.

Indexed as

Biomarkers, TumorBrain NeoplasmsGliomaMagnetic Resonance ImagingAdultAgedFemaleHumansIsocitrate DehydrogenaseMaleMiddle AgedMutationNeoplasm GradingPromoter Regions, GeneticRetrospective StudiesTelomeraseBiomarkers, TumorIsocitrate DehydrogenaseTelomeraseTERT protein, humanBiomarkersGliomaMultiparametric magnetic resonance imagingPathology (molecular)Precision medicine

Identifiers

PMID41925814
PMCPMC13047024

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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.