Use of CT-derived radiomic features to preoperatively identify invasive mucinous adenocarcinoma in solitary pulmonary nodules ≤3 cm

• DOI: 10.1016/j.heliyon.2024.e30209
• Publication Date: 2024-04-24T16:12:41Z
• Authors: Zhengyuan Xiao; Jing Chen; Xiaolan Feng; Yinjun Zhou; Haibo Liu; Guidong Dai; Wanyin Qi
• Keywords: Pulmonary adenocarcinoma

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