Evidence map›Paper›PMID 42518518›Full record

ArticleMagnetic resonance letters2027

Predictions and cross-center validation of IDH status and 1p/19q status in adult diffuse glioma with non-invasive magnetic resonance spectroscopy.

Zhangren Tu, Wanjun Hu, Jialve Zhang, Zhen Xing, Jiamin Li, Jingjing Xu, Meijin Lin, Xianwang Jiang, Dairong Cao, Jing Zhang and 2 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance letters, 2027. 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

12 authors.

Zhangren TuDepartment of Electronic Science, Xiamen University, Xiamen, 361102, China.
Wanjun HuDepartment of Nuclear Magnetic Resonance, Gansu Province Clinical Research Center for Functional and Molecular Imaging, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, China.
Jialve ZhangPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China.
Zhen XingDepartment of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Jiamin LiDepartment of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Jingjing XuDepartment of Electronic Science, Xiamen University, Xiamen, 361102, China.
Meijin LinXiamen University-Neusoft Medical Magnetic Resonance Imaging Joint Research and Development Center, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen, 361102, China.
Xianwang JiangXiamen University-Neusoft Medical Magnetic Resonance Imaging Joint Research and Development Center, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen, 361102, China.
Dairong CaoDepartment of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Jing ZhangDepartment of Nuclear Magnetic Resonance, Gansu Province Clinical Research Center for Functional and Molecular Imaging, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, China.
Di GuoSchool of Computer and Information Engineering, Fujian Engineering Research Center for Medical Data Mining and Application, Xiamen University of Technology, Xiamen, 361024, China.
Xiaobo QuShenzhen Research Institute of Xiamen University, Shenzhen, 518000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study developed and validated a non-invasive multi-metabolite magnetic resonance spectroscopy framework for preoperative molecular subtyping of adult diffuse gliomas. Using a cross-center, cross-vendor cohort of 268 patients, 48 features derived from 18 metabolites were systematically evaluated to identify discriminative metabolic signatures for predicting IDH mutation and 1p/19q codeletion status. The integrated metabolic model showed robust intra-center and cross-center performance for IDH prediction, with AUCs of 0.906 and 0.857, respectively, and for 1p/19q prediction, with AUCs of 0.858 and 0.787, respectively. These results suggest that synergistic metabolic profiling support molecular assessment in patients who may not be suitable for invasive biopsy.

Indexed as

Adult diffuse gliomaIsocitrate dehydrogenase (IDH)Magnetic resonance spectroscopyMolecular subtyping

Identifiers

PMID42518518
PMCPMC13382769

What OpenQuestion holds

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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.