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Quality Reporting of Radiomics Analysis in Mild Cognitive Impairment and Alzheimer's Disease: A Roadmap for Moving Forward

DC FieldValueLanguage
dc.contributor.author김진아-
dc.contributor.author박미나-
dc.contributor.author박예원-
dc.contributor.author안성수-
dc.contributor.author이승구-
dc.date.accessioned2021-01-19T08:08:09Z-
dc.date.available2021-01-19T08:08:09Z-
dc.date.issued2020-12-
dc.identifier.issn1229-6929-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/181475-
dc.description.abstractObjective: To evaluate radiomics analysis in studies on mild cognitive impairment (MCI) and Alzheimer's disease (AD) using a radiomics quality score (RQS) system to establish a roadmap for further improvement in clinical use. Materials and methods: PubMed MEDLINE and EMBASE were searched using the terms 'cognitive impairment' or 'Alzheimer' or 'dementia' and 'radiomic' or 'texture' or 'radiogenomic' for articles published until March 2020. From 258 articles, 26 relevant original research articles were selected. Two neuroradiologists assessed the quality of the methodology according to the RQS. 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: The hippocampus was the most frequently analyzed (46.2%) anatomical structure. Of the 26 studies, 16 (61.5%) used an open source database (14 from Alzheimer's Disease Neuroimaging Initiative and 2 from Open Access Series of Imaging Studies). The mean RQS was 3.6 out of 36 (9.9%), and the basic adherence rate was 27.6%. Only one study (3.8%) performed external validation. The adherence rate was relatively high for reporting the imaging protocol (96.2%), multiple segmentation (76.9%), discrimination statistics (69.2%), and open science and data (65.4%) but low for conducting test-retest analysis (7.7%) and biologic correlation (3.8%). None of the studies stated potential clinical utility, conducted a phantom study, performed cut-off analysis or calibration statistics, was a prospective study, or conducted cost-effectiveness analysis, resulting in a low level of evidence. Conclusion: The quality of radiomics reporting in MCI and AD studies is suboptimal. Validation is necessary using external dataset, and improvements need to be made to feature reproducibility, feature selection, clinical utility, model performance index, and pursuits of a higher level of evidence.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherKorean Society of Radiology-
dc.relation.isPartOfKOREAN JOURNAL OF RADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleQuality Reporting of Radiomics Analysis in Mild Cognitive Impairment and Alzheimer's Disease: A Roadmap for Moving Forward-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorSo Yeon Won-
dc.contributor.googleauthorYae Won Park-
dc.contributor.googleauthorMina Park-
dc.contributor.googleauthorSung Soo Ahn-
dc.contributor.googleauthorJinna Kim-
dc.contributor.googleauthorSeung Koo Lee-
dc.identifier.doi10.3348/kjr.2020.0715-
dc.contributor.localIdA01022-
dc.contributor.localIdA01460-
dc.contributor.localIdA01460-
dc.contributor.localIdA05330-
dc.contributor.localIdA05330-
dc.contributor.localIdA02234-
dc.contributor.localIdA02234-
dc.contributor.localIdA02912-
dc.contributor.localIdA02912-
dc.relation.journalcodeJ02884-
dc.identifier.eissn2005-8330-
dc.identifier.pmid33169553-
dc.subject.keywordAlzheimer's disease-
dc.subject.keywordDementia-
dc.subject.keywordMild cognitive impairment-
dc.subject.keywordRadiomics, Radiomics quality score-
dc.contributor.alternativeNameKim, Jinna-
dc.contributor.affiliatedAuthor김진아-
dc.contributor.affiliatedAuthor박미나-
dc.contributor.affiliatedAuthor박미나-
dc.contributor.affiliatedAuthor박예원-
dc.contributor.affiliatedAuthor박예원-
dc.contributor.affiliatedAuthor안성수-
dc.contributor.affiliatedAuthor안성수-
dc.contributor.affiliatedAuthor이승구-
dc.contributor.affiliatedAuthor이승구-
dc.citation.volume21-
dc.citation.number12-
dc.citation.startPage1345-
dc.citation.endPage1354-
dc.identifier.bibliographicCitationKOREAN JOURNAL OF RADIOLOGY, Vol.21(12) : 1345-1354, 2020-12-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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