Evidence map›Paper›PMID 37133522›Full record

ArticleEuropean radiology2023

Prediction of Ki-67 labeling index, ATRX mutation, and MGMT promoter methylation status in IDH-mutant astrocytoma by morphological MRI, SWI, DWI, and DSC-PWI.

Xiefeng Yang, Chengcong Hu, Zhen Xing, Yu Lin, Yan Su, Xingfu Wang, Dairong Cao

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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. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 3% 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.

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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 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

7 authors at 1 institution in 1 country.

Xiefeng Yang *Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China.
Chengcong Hu *Department of Pathology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, 20 Cha-Zhong Road, Fuzhou, 350005, People's Republic of China.
Zhen XingDepartment of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China.
Yu LinDepartment of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China.
Yan SuDepartment of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China.
Xingfu WangDepartment of Pathology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, 20 Cha-Zhong Road, Fuzhou, 350005, People's Republic of China. wang_xfu@126.com.
Dairong CaoDepartment of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China. dairongcao@163.com.ORCID http://orcid.org/0000-0002-0051-3143
Fujian Medical University · CN

Funding

Fujian Provincial Health Technology Project 2021QNB006Joint Funds for the Innovation of Science and Technology, Fujian Province 2021Y9154The Leading Project of the Department of Science and Technology of Fujian Province 2020Y0025The National Natural Science Foundation of China 82071869
6 · The paper itself

Abstract

objectiveNoninvasive detection of molecular status of astrocytoma is of great clinical significance for predicting therapeutic response and prognosis. We aimed to evaluate whether morphological MRI (mMRI), SWI, DWI, and DSC-PWI could predict Ki-67 labeling index (LI), ATRX mutation, and MGMT promoter methylation status in IDH mutant (IDH-mut) astrocytoma.

methodsWe retrospectively analyzed mMRI, SWI, DWI, and DSC-PWI in 136 patients with IDH-mut astrocytoma.The features of mMRI and intratumoral susceptibility signals (ITSS) were compared using Fisher exact test or chi-square tests. Wilcoxon rank sum test was used to compare the minimum ADC (ADC

resultsITSS, ADC

conclusionsmMRI, SWI, DWI, and DSC-PWI were shown to have the potential to predict Ki-67 LI and ATRX mutation status in IDH-mut astrocytoma. A combination of mMRI and SWI may improve diagnostic performance for predicting Ki-67 LI and ATRX mutation status. CLINICAL RELEVANCE STATEMENT: Conventional MRI and functional MRI (SWI, DWI, and DSC-PWI) can predict Ki-67 expression and ATRX mutation status of IDH mutant astrocytoma, which may help clinicians determine personalized treatment plans and predict patient outcomes. KEY POINTS: • A combination of multimodal MRI may improve the diagnostic performance to predict Ki-67 LI and ATRX mutation status. • Compared with IDH-mutant astrocytoma with low Ki-67 LI, IDH-mutant astrocytoma with high Ki-67 LI was more likely to show necrosis, edema, enhancement, poorly defined margin, higher ITSS levels, lower ADC, and higher rCBV. • ATRX wild-type IDH-mutant astrocytoma was more likely to show edema, higher ITSS levels, and lower ADC compared to ATRX mutant IDH-mutant astrocytoma.

Indexed as

AstrocytomaBrain NeoplasmsDNA Modification MethylasesDNA Repair EnzymesHumansIsocitrate DehydrogenaseKi-67 AntigenMagnetic Resonance ImagingMethylationMutationRetrospective StudiesTumor Suppressor ProteinsX-linked Nuclear ProteinATRX protein, humanDNA Modification MethylasesDNA Repair EnzymesIsocitrate DehydrogenaseKi-67 AntigenMGMT protein, humanTumor Suppressor ProteinsX-linked Nuclear ProteinAstrocytomaIsocitrate dehydrogenaseMagnetic resonance imaging

Identifiers

PMID37133522
OpenAlexW4367833824

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.