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增值性机会性 CT 筛查:现状。

Value-added Opportunistic CT Screening: State of the Art.

机构信息

From the Department of Radiology, The University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252.

出版信息

Radiology. 2022 May;303(2):241-254. doi: 10.1148/radiol.211561. Epub 2022 Mar 15.

Abstract

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.

摘要

机会性 CT 筛查利用了腹部和胸部扫描中嵌入的强大成像数据,这些数据通常与特定的临床指征无关,并且迄今为止基本上未被使用。这些偶然的成像信息可能会对患者的健康、预防、风险评估以及相关疾病的无症状检测带来益处。基于 CT 的机会性筛查越来越受到关注,这与多种因素有关:基于 CT 的身体成分测量的客观性和可推广性、完全自动化的可解释 AI 解决方案的出现、进行的大量身体 CT 扫描以及对精准医学和增值计划的日益重视。通过对身体成分和其他有用的 CT 标志物进行系统的评估,初步证据表明,它们帮助放射科医生评估生物年龄和预测未来不良心血管代谢事件的能力甚至可以与最佳的现有临床参考标准相媲美。新出现的数据表明,与无组织的机会性方法相比,单独的“预期” CT 筛查可能是合理的,尤其是与既定的癌症筛查相结合时。本综述将讨论机会性 CT 筛查的现状,包括特定的身体成分标志物和可能受影响的各种疾病过程。广泛应用于临床仍面临的障碍包括推广到更多样化的患者人群、不同的技术设置和报销。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ff2/9083232/9a19177b90f1/radiol.211561.VA.jpg

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