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

Korean Journal of Radiology 2020년 21권 12호 p.1345 ~ 1354
원소연, 박예원, 박미나, 안성수, 김진나, 이승구,
소속 상세정보
원소연 ( Won So-Yeon ) - Yonsei University College of Medicine Department of Radiology
박예원 ( Park Yae-Won ) - Yonsei University College of Medicine Department of Radiology
박미나 ( Park Mi-Na ) - Yonsei University College of Medicine Gangnam Severance Hospital Department of Radiology
안성수 ( Ahn Sung-Soo ) - Yonsei University College of Medicine Department of Radiology
김진나 ( Kim Jin-Na ) - Yonsei University College of Medicine Department of Radiology
이승구 ( Lee Seung-Koo ) - Yonsei University College of Medicine Department of Radiology

Abstract


Objective: 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.

키워드

Alzheimer's disease; Dementia; Mild cognitive impairment; Radiomics, Radiomics quality score

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