Utility of CT radiomics for prediction of PD ‐L1 expression in advanced lung adenocarcinomas

ConclusionsQuantitative CT radiomic features can predict PD ‐L1 expression in advanced stage lung adenocarcinoma. A prediction model composed of clinical variables and CT radiomic features may facilitate noninvasive assessment of PD‐L1 expression.Key pointsSignificant findings of the studyQuantitative CT radiomic features can help predict PD ‐L1 expression, whereas none of the qualitative imaging findings is associated with PD‐L1 positivity.What this study addsA prediction model composed of clinical variables and CT radiomic features may facilitate noninvasive assessment of PD ‐L1 expression.

Source: Thoracic Cancer - February 11, 2020 Category: Cancer & Oncology Authors: Jiyoung Yoon, Young Joo Suh, Kyunghwa Han, Hyoun Cho, Hye ‐Jeong Lee, Jin Hur, Byoung Wook Choi Tags: Original Article Source Type: research