Multiparametric Quantitative Imaging Biomarkers for Phenotype Classification: A Framework for Development and Validation.
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ABSTRACT: This manuscript is the third in a five-part series related to statistical assessment methodology for technical performance of multi-parametric quantitative imaging biomarkers (mp-QIBs). We outline approaches and statistical methodologies for developing and evaluating a phenotype classification model from a set of multiparametric QIBs. We then describe validation studies of the classifier for precision, diagnostic accuracy, and interchangeability with a comparator classifier. We follow with an end-to-end real-world example of development and validation of a classifier for atherosclerotic plaque phenotypes. We consider diagnostic accuracy and interchangeability to be clinically meaningful claims for a phenotype classification model informed by mp-QIB inputs, aiming to provide tools to demons
SUBMITTER: Delfino JG
PROVIDER: S-EPMC9825632 | biostudies-literature | 2023 Feb
REPOSITORIES: biostudies-literature
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