U.S., July 16 -- ClinicalTrials.gov registry received information related to the study (NCT07065422) titled 'AI Models for Predicting Occult Pleural Dissemination in NSCLC' on July 03.
Brief Summary: Occult pleural dissemination (PD) in non-small cell lung cancer (NSCLC) patients is likely to be missed on computed tomography (CT) scans, associated with poor survival, and generally contraindicated for radical surgery. This study aimed to develop and compare the performance of radiomics-based machine learning (ML), deep learning (DL), and fusion models to preoperatively identify occult PDs in NSCLC patients. Patients from three Chinese high-volume medical centers (2016-2023) were retrospectively collected and divided into training, internal ...