Evidence map›Paper›PMID 36346441›Full record

ArticleEuropean radiology2023

A three-component multi-b-value diffusion-weighted imaging might be a useful biomarker for detecting microstructural features in gliomas with differences in malignancy and IDH-1 mutation status.

Mengqiu Cao, Xiaoqing Wang, Fang Liu, Ke Xue, Yongming Dai, Yan Zhou

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06002711 (Multi-Dimensional MRI Spatial Heterogeneity Analysis for Predicting Key Genes and Prognosis of High-Grade Gliomas), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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.

NCT06002711 recruitingnot on this map

Multi-Dimensional MRI Spatial Heterogeneity Analysis for Predicting Key Genes and Prognosis of High-Grade Gliomas: A Multi-Center Study

TypeobservationalSponsorRenJi HospitalRan2023 to 2027Enrolled500ConditionsHigh-grade GliomaArmsMR scanning, Clinical data collection
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Mengqiu CaoDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Rd., Shanghai, 200127, China.
Xiaoqing WangDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Rd., Shanghai, 200127, China.
Fang LiuDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Rd., Shanghai, 200127, China.
Ke XueMR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China.
Yongming DaiMR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China.
Yan ZhouDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Rd., Shanghai, 200127, China. clare1475@yeah.net.
Shanghai Jiao Tong University · CNUnited Imaging Healthcare (China) · CN

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 81971583National Natural Science Foundation of China 82171885
6 · The paper itself

Abstract

objectivesThe purpose of the study was to explore the performance of a three-component diffusion model in evaluating the degree of malignancy and isocitrate dehydrogenase 1 (IDH-1) gene type of gliomas.

methodsOverall, 60 patients with gliomas were enrolled. The intermediate and perfusion-related diffusion coefficients (D

resultsHigh-grade gliomas (HGGs) had significantly higher F

conclusionsThe three-component DWI model served as a useful biomarker for detecting microstructural features in gliomas with different grades and IDH-1 mutation statuses. KEY POINTS: • The three-component model enables the estimation of an intermediate diffusion component. • The three-component model performed better than the other models in glioma grading and genotyping. • F

Indexed as

Brain NeoplasmsDiffusion Magnetic Resonance ImagingGliomaBiomarkersHumansIsocitrate DehydrogenaseMutationNeoplasm GradingBiomarkersIDH1 protein, humanIsocitrate DehydrogenaseDWIGliomaIsocitrate dehydrogenaseIVIMTumor grading

Identifiers

PMID36346441
OpenAlexW4308548917

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.