Noninvasive prediction of EGFR gene mutation in lung adenocarcinoma using multiparametric CT perfusion imaging

Objectives

Determination of epidermal growth factor receptor (EGFR) gene mutation status is essential for molecular targeted therapy in patients with lung adenocarcinoma (LUAD). Currently, tumor tissue for genetic testing is commonly obtained through invasive procedures such as surgery or needle biopsy. This study aims to explore the potential associations between multiple quantitative parameters derived from computed tomography perfusion imaging (CTPI) and EGFR gene mutations in patients with LUAD, and to provide preliminary evidence for the noninvasive prediction of EGFR mutation status in LUAD.