Evidence map›Paper›PMID 34131804›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2021

Prediction of H3K27M-mutant brainstem glioma by amide proton transfer-weighted imaging and its derived radiomics.

Zhizheng Zhuo, Liying Qu, Peng Zhang, Yunyun Duan, Dan Cheng, Xiaolu Xu, Ting Sun, Jinli Ding, Cong Xie, Xing Liu and 4 more

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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
–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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  7. Integrating clinical features withBMC medical imaging · 2025
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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

14 authors.

Zhizheng Zhuo *Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Liying Qu *Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Peng Zhang *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 10070, China.
Yunyun DuanDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Dan ChengDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Xiaolu XuDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Ting SunDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Jinli DingDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Cong XieDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Xing LiuDepartment of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 10070, China.
Sven HallerDepartment of Imaging and Medical Informatics, University Hospitals of Geneva and Faculty of Medicine of the University of Geneva, Geneva, Switzerland.
Frederik BarkhofUCL Institutes of Neurology and Healthcare Engineering, London, UK.
Liwei Zhang *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 10070, China. zlwtt@aliyun.com.
Yaou Liu *Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China. liuyaou@bjtth.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeH3K27M-mutant associated brainstem glioma (BSG) carries a very poor prognosis. We aimed to predict H3K27M mutation status by amide proton transfer-weighted (APTw) imaging and radiomic features.

methodsEighty-one BSG patients with APTw imaging at 3T MR and known H3K27M status were retrospectively studied. APTw values (mean, median, and max) and radiomic features within manually delineated 3D tumor masks were extracted. Comparison of APTw measures between H3K27M-mutant and wildtype groups was conducted by two-sample Student's T/Mann-Whitney U test and receiver operating characteristic curve (ROC) analysis. H3K27M-mutant prediction using APTw-derived radiomics was conducted using a machine learning algorithm (support vector machine) in randomly selected train (n = 64) and test (n = 17) sets. Sensitivity analysis with additional random splits of train and test sets, 2D tumor masks, and other classifiers were conducted. Finally, a prospective cohort including 29 BSG patients was acquired for validation of the radiomics algorithm.

resultsBSG patients with H3K27M-mutant were younger and had higher max APTw values than those with wildtype. APTw-derived radiomic measures reflecting tumor heterogeneity could predict H3K27M mutation status with an accuracy of 0.88, sensitivity of 0.92, and specificity of 0.80 in the test set. Sensitivity analysis confirmed the predictive ability (accuracy range: 0.71-0.94). In the independent prospective validation cohort, the algorithm reached an accuracy of 0.86, sensitivity of 0.88, and specificity of 0.85 for predicting H3K27M-mutation status.

conclusionBSG patients with H3K27M-mutant had higher max APTw values than those with wildtype. APTw-derived radiomics could accurately predict a H3K27M-mutant status in BSG patients.

Indexed as

Brain NeoplasmsGliomaAmidesBrain StemHumansMagnetic Resonance ImagingProtonsRetrospective StudiesAmidesProtonsAmide proton transfer–weighted imagingBrainstem gliomaH3K27M-mutantMachine learningRadiomics

Identifiers

PMID34131804

What OpenQuestion holds

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Registered trials

None linked

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.