医学
间质性肺病
鉴别诊断
肺
放射科
肺病
医学物理学
病理
内科学
作者
Andrew Pagano,Tam Vu,Eugene A. Berkowitz,Brent P. Little,Michael Chung,Adam Bernheim
标识
DOI:10.1016/j.clinimag.2022.04.019
摘要
Interstitial lung diseases (ILDs) may present a diagnostic dilemma due to their many classifications and overlapping imaging findings. In this review, we present an algorithmic approach for assessing ILDs based on identifying and understanding key imaging features to aid in narrowing a differential diagnosis or reaching a specific diagnosis. We use the recently introduced Interstitial Lung Disease Reporting And Data System (ILD-RADS) as a framework for our discussion.
科研通智能强力驱动
Strongly Powered by AbleSci AI