Evidence map›Paper›PMID 37336830›Full record

ArticleInsights into imaging2023

An overview of meta-analyses on radiomics: more evidence is needed to support clinical translation.

Jingyu Zhong, Junjie Lu, Guangcheng Zhang, Shiqi Mao, Haoda Chen, Qian Yin, Yangfan Hu, Yue Xing, Defang Ding, Xiang Ge and 2 more

Open access · goldAbstract read
In one paragraph

Article in Insights into imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
6.2field-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, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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  17. Exploring radiomics research quality scoring tools: a comparative analysis of METRICS and RQSDiagnostic and interventional radiology (Ankara, Turkey) · 2024
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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

12 authors at 3 institutions in 2 countries.

Jingyu Zhong *Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Junjie Lu *Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
Guangcheng ZhangDepartment of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
Shiqi MaoDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
Haoda ChenDepartment of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Qian YinDepartment of Pathology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
Yangfan HuDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Yue XingDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Defang DingDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Xiang GeDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Huan ZhangDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. huanzhangy@163.com.
Weiwu YaoDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China. yaoweiwuhuan@163.com.ORCID http://orcid.org/0000-0002-6612-8520
Shanghai Jiao Tong University · CNHarvard University · USTongji University · CN

Funding

Medicine and Engineering Combination Project of Shanghai Jiao Tong University YG2019ZDB09National Natural Science Foundation of China 82271934Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine 2020TRYJ(JC)07Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine 2020TRYJ(LB)06Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRGG202101Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRKYRC-XX202204Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRYJ2021JC06Shanghai Science and Technology Commission Science and Technology Innovation Action Clinical Innovation Field 18411953000Yangfan Project of Science and Technology Commission of Shanghai Municipality 22YF1442400
6 · The paper itself

Abstract

objectiveTo conduct an overview of meta-analyses of radiomics studies assessing their study quality and evidence level.

methodsA systematical search was updated via peer-reviewed electronic databases, preprint servers, and systematic review protocol registers until 15 November 2022. Systematic reviews with meta-analysis of primary radiomics studies were included. Their reporting transparency, methodological quality, and risk of bias were assessed by PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) 2020 checklist, AMSTAR-2 (A MeaSurement Tool to Assess systematic Reviews, version 2) tool, and ROBIS (Risk Of Bias In Systematic reviews) tool, respectively. The evidence level supporting the radiomics for clinical use was rated.

resultsWe identified 44 systematic reviews with meta-analyses on radiomics research. The mean ± standard deviation of PRISMA adherence rate was 65 ± 9%. The AMSTAR-2 tool rated 5 and 39 systematic reviews as low and critically low confidence, respectively. The ROBIS assessment resulted low, unclear and high risk in 5, 11, and 28 systematic reviews, respectively. We reperformed 53 meta-analyses in 38 included systematic reviews. There were 3, 7, and 43 meta-analyses rated as convincing, highly suggestive, and weak levels of evidence, respectively. The convincing level of evidence was rated in (1) T2-FLAIR radiomics for IDH-mutant vs IDH-wide type differentiation in low-grade glioma, (2) CT radiomics for COVID-19 vs other viral pneumonia differentiation, and (3) MRI radiomics for high-grade glioma vs brain metastasis differentiation.

conclusionsThe systematic reviews on radiomics were with suboptimal quality. A limited number of radiomics approaches were supported by convincing level of evidence. CLINICAL RELEVANCE STATEMENT: The evidence supporting the clinical application of radiomics are insufficient, calling for researches translating radiomics from an academic tool to a practicable adjunct towards clinical deployment.

Indexed as

Meta-analysisQuality improvementRadiomicsSystematic review

Identifiers

PMID37336830
PMCPMC10279606
OpenAlexW4381250549

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.