U.S., Sept. 16 -- ClinicalTrials.gov registry received information related to the study (NCT07820423) titled 'Multimodal AI Predicts High-risk Pathology in Lung Cancer Associated With Cystic Airspaces' on Sept. 03.
Brief Summary: The goal of this observational study is to develop and validate an artificial intelligence (AI)-based multimodal radiomics model that integrates preoperative CT imaging features and clinical data to predict pathological high-risk features in patients with lung cancer associated with cystic airspaces (LCCA).
The main questions it aims to answer are:
Can an AI-based multimodal radiomics model accurately predict pathological high-risk features in LCCA before surgery? Does the integration of CT imaging features and ...