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Quality assessment of radiomics research in cardiac CT: a systematic review

Authors
 Suji Lee  ;  Kyunghwa Han  ;  Young Joo Suh 
Citation
 EUROPEAN RADIOLOGY, Vol.32(5) : 3458-3468, 2022-05 
Journal Title
EUROPEAN RADIOLOGY
ISSN
 0938-7994 
Issue Date
2022-05
MeSH
Humans ; Prognosis ; Prospective Studies ; Reproducibility of Results ; Tomography, X-Ray Computed*
Keywords
Heart ; Machine learning ; Quality improvement ; Tomography, X-ray computed
Abstract
Objectives: To assess the quality of current radiomics research on cardiac CT using radiomics quality score (RQS) and Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) systems.

Methods: Systematic searches of PubMed and EMBASE were performed to identify all potentially relevant original research articles about cardiac CT radiomics. Fifteen original research articles were selected. Two cardiac radiologists assessed the quality of the methodology adopted in those studies according to the RQS and TRIPOD guidelines. Basic adherence rates for the following six key domains were evaluated: image protocol and reproducibility, feature reduction and validation, biologic/clinical utility, performance index, high level of evidence, and open science.

Results: Among the 15 included articles, six (40%) were about coronary artery disease and six (40%) were about myocardial infarction. The mean RQS was 9.9 ± 7.3 (27.4% of the ideal score of 36), and the basic adherence rate was 44.6%. Fourteen (93.3%) and nine (60%) studies performed feature selection and validation, but only two (13.3%) of them performed external validation. Two studies (13.3%) were prospective, and only one study (6.7%) conducted calibration analysis and stated the potential clinical utility. None of the studies conducted phantom study and cost-effective analysis. The overall adherence rate for TRIPOD was 63%.

Conclusion: The quality of radiomics studies in cardiac CT is currently insufficient. A higher level of evidence is required, and analysis of clinical utility and calibration of model performance need to be improved.

Key points: • The quality of science of radiomics studies in cardiac CT is currently insufficient. • No study conducted a phantom study or cost-effective analysis, with further limitations being demonstrated in a high level of evidence for radiomics studies. • Analysis of clinical utility and calibration of model performance need to be improved, and a higher level of evidence is required.
Full Text
https://link.springer.com/article/10.1007/s00330-021-08429-0
DOI
10.1007/s00330-021-08429-0
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Suh, Young Joo(서영주) ORCID logo https://orcid.org/0000-0002-2078-5832
Lee, Suji(이수지) ORCID logo https://orcid.org/0000-0002-8770-622X
Han, Kyung Hwa(한경화)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/188705
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