期刊
MEDICAL PHYSICS
卷 49, 期 4, 页码 2820-2835出版社
WILEY
DOI: 10.1002/mp.15195
关键词
magnetic resonance imaging; multiparametric MRI; quantitative MRI; radiomics
资金
- National Research Council
- University Hospitals Research and Education Institutes Pilot
- NIH NCI [1U01CA248226-01]
- DOD/CDMRP [CA200789]
- NIH [R01 AR077604, R01 EB002524, K24 AR062068, P41 EB015891]
This article discusses the challenges faced by image quantitation methods in clinical applications, and presents strategies to reduce variance and achieve generalizability.
Image quantitation methods including quantitative MRI, multiparametric MRI, and radiomics offer great promise for clinical use. However, many of these methods have limited clinical adoption, in part due to issues of generalizability, that is, the ability to translate methods and models across institutions. Researchers can assess generalizability through measurement of repeatability and reproducibility, thus quantifying different aspects of measurement variance. In this article, we review the challenges to ensuring repeatability and reproducibility of image quantitation methods as well as present strategies to minimize their variance to enable wider clinical implementation. We present possible solutions for achieving clinically acceptable performance of image quantitation methods and briefly discuss the impact of minimizing variance and achieving generalizability towards clinical implementation and adoption.
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