Value-added opportunistic CT screening: state of the art

PJ Pickhardt - Radiology, 2022 - pubs.rsna.org
Radiology, 2022pubs.rsna.org
Opportunistic CT screening leverages robust imaging data embedded within abdominal and
thoracic scans that are generally unrelated to the specific clinical indication and have
heretofore gone largely unused. This incidental imaging information may prove beneficial to
patients in terms of wellness, prevention, risk profiling, and presymptomatic detection of
relevant disease. The growing interest in CT-based opportunistic screening relates to a
confluence of factors: the objective and generalizable nature of CT-based body composition …
Opportunistic CT screening leverages robust imaging data embedded within abdominal and thoracic scans that are generally unrelated to the specific clinical indication and have heretofore gone largely unused. This incidental imaging information may prove beneficial to patients in terms of wellness, prevention, risk profiling, and presymptomatic detection of relevant disease. The growing interest in CT-based opportunistic screening relates to a confluence of factors: the objective and generalizable nature of CT-based body composition measures, the emergence of fully automated explainable AI solutions, the sheer volume of body CT scans performed, and the increasing emphasis on precision medicine and value-added initiatives. With a systematic approach to body composition and other useful CT markers, initial evidence suggests that their ability to help radiologists assess biologic age and predict future adverse cardiometabolic events rivals even the best available clinical reference standards. Emerging data suggest that standalone “intended” CT screening over an unorganized opportunistic approach may be justified, especially when combined with established cancer screening. This review will discuss the current status of opportunistic CT screening, including specific body composition markers and the various disease processes that may be impacted. The remaining hurdles to widespread clinical adoption include generalization to more diverse patient populations, disparate technical settings, and reimbursement.
© RSNA, 2022
An earlier incorrect version appeared online. This article was corrected on March 18, 2022.
Radiological Society of North America
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