Use of CT-derived Radiomic Features to Preoperatively Identify Invasive Mucinous Adenocarcinoma in Solitary Pulmonary Nodules ≤3 cm

In this study, we aimed to utilize computed tomography (CT)-derived radiomics and various machine learning approaches to differentiate between invasive mucinous adenocarcinoma (IMA) and invasive non-mucinous adenocarcinoma (INMA) preoperatively in solitary pulmonary nodules (SPN) ≤3 cm.