Opportunistic Screening: Radiology Scientific Expert Panel.
Opportunistic Screening: Radiology Scientific Expert Panel.
复制标题
机会性筛查:放射学科学专家小组。
DOI:
10.1148/radiol.222044
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发表时间:
2023
期刊:
影响因子:
19.7
通讯作者:
Nicola,GregoryN
中科院分区:
文献类型:
--
作者:
Pickhardt,PerryJ;Summers,RonaldM;Garrett,JohnW;Krishnaraj,Arun;Agarwal,Sheela;Dreyer,KeithJ;Nicola,GregoryN
Radiologic tests often contain rich imaging data not relevant to the clinical indication. Opportunistic screening refers to the practice of systematically leveraging these incidental imaging findings. Although opportunistic screening can apply to imaging modalities such as conventional radiography, US, and MRI, most attention to date has focused on body CT by using artificial intelligence (AI)–assisted methods. Body CT represents an ideal high-volume modality whereby a quantitative assessment of tissue composition (eg, bone, muscle, fat, and vascular calcium) can provide valuable risk stratification and help detect unsuspected presymptomatic disease. The emergence of “explainable” AI algorithms that fully automate these measurements could eventually lead to their routine clinical use. Potential barriers to widespread implementation of opportunistic CT screening include the need for buy-in from radiologists, referring providers, and patients. Standardization of acquiring and reporting measures is needed, in addition to expanded normative data according to age, sex, and race and ethnicity. Regulatory and reimbursement hurdles are not insurmountable but pose substantial challenges to commercialization and clinical use. Through demonstration of improved population health outcomes and cost-effectiveness, these opportunistic CT-based measures should be attractive to both payers and health care systems as value-based reimbursement models mature. If highly successful, opportunistic screening could eventually justify a practice of standalone “intended” CT screening.© RSNA, 2023