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- W4301398220 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 demonstrate agreement between imaging-derived characteristics and clinically established phenotypes. Understanding that we are working in an evolving field, we close our manuscript with an acknowledgement of existing challenges and a discussion of where additional work is needed. In particular, we discuss the challenges involved with technical performance and analytical validation of mp-QIBs. We intend for this manuscript to further advance the robust and promising science of multiparametric biomarker development." @default.
- W4301398220 created "2022-10-05" @default.
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- W4301398220 date "2023-02-01" @default.
- W4301398220 modified "2023-10-16" @default.
- W4301398220 title "Multiparametric Quantitative Imaging Biomarkers for Phenotype Classification: A Framework for Development and Validation" @default.
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- W4301398220 doi "https://doi.org/10.1016/j.acra.2022.09.004" @default.
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- W4301398220 hasPublicationYear "2023" @default.
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