Cited 4 times in
Quality assessment of stroke radiomics studies: Promoting clinical application
DC Field | Value | Language |
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dc.contributor.author | 손범석 | - |
dc.date.accessioned | 2024-03-22T06:10:07Z | - |
dc.date.available | 2024-03-22T06:10:07Z | - |
dc.date.issued | 2023-04 | - |
dc.identifier.issn | 0720-048X | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/198431 | - |
dc.description.abstract | Purpose: To evaluate the quality of radiomics studies on stroke using a radiomics quality score (RQS), Minimum Information for Medial AI reporting (MINIMAR) and Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) to promote clinical application. Methods: PubMed MEDLINE and Embase were searched to identify radiomics studies on stroke. Of 464 articles, 52 relevant original research articles were included. The RQS, MINIMAR and TRIPOD were scored to evaluate the quality of the studies by neuroradiologists. Results: Only four studies (7.7 %) performed external validation. The mean RQS was 3.2 of 36 (8.9 %), and the basic adherence rate was 24.9 %. The adherence rate was low for conducting phantom study (1.9 %), stating comparison to ‘gold standard’ (1.9 %), offering potential clinical utility (13.5 %) and performing cost-effectiveness analysis (1.9 %). None of the studies performed a test–retest, stated biologic correlation, conducted prospective studies, or opened codes and data to the public, resulting in low RQS. The total MINIMAR adherence rate was 47.4 %. The overall adherence rate for TRIPOD was 54.6 %, with low scores for reporting the title (2.0 %), key elements of the study setting (6.1 %), and explaining the sample size (2.0 %). Conclusions: The overall radiomics reporting quality and reporting of published radiomics studies on stoke was suboptimal. More thorough validation and open data are needed to increase clinical applicability of radiomics studies. © 2023 Elsevier B.V. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Elsevier Science Ireland Ltd | - |
dc.relation.isPartOf | EUROPEAN JOURNAL OF RADIOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Prognosis | - |
dc.subject.MESH | Prospective Studies* | - |
dc.title | Quality assessment of stroke radiomics studies: Promoting clinical application | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiology (영상의학교실) | - |
dc.contributor.googleauthor | Beomseok Sohn | - |
dc.contributor.googleauthor | So Yeon Won | - |
dc.identifier.doi | 10.1016/j.ejrad.2023.110752 | - |
dc.contributor.localId | A04960 | - |
dc.relation.journalcode | J00845 | - |
dc.identifier.eissn | 1872-7727 | - |
dc.identifier.pmid | 36878154 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0720048X23000669 | - |
dc.subject.keyword | Quality improvement | - |
dc.subject.keyword | Radiomics | - |
dc.subject.keyword | Radiomics quality score | - |
dc.subject.keyword | Stroke | - |
dc.contributor.alternativeName | Sohn, Beomseok | - |
dc.contributor.affiliatedAuthor | 손범석 | - |
dc.citation.volume | 161 | - |
dc.citation.startPage | 110752 | - |
dc.identifier.bibliographicCitation | EUROPEAN JOURNAL OF RADIOLOGY, Vol.161 : 110752, 2023-04 | - |
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