Clinical Trial: CT Radiomics and Deep Learning-Based Non-Invasive Model for Tracing Primary Sites of Adenocarcinoma Liver Metastases: Automatic Differentiation of Multiple Primary Digestive Tumors

U.S., Oct. 14 -- ClinicalTrials.gov registry received information related to the study (NCT07871019) titled 'CT Radiomics and Deep Learning-Based Non-Invasive Model for Tracing Primary Sites of Adenocarcinoma Liver Metastases: Automatic Differentiation of Multiple Primary Digestive Tumors' on Sept. 27.

Brief Summary: This is a retrospective observational study. Liver metastasis occurs frequently in digestive-system cancers. Identification of the primary tumor source of liver metastasis may pose clinical challenges. Biopsy is an invasive procedure associated with potential sampling errors. This study aims to develop and validate a non-invasive artificial-intelligence model based on contrast-enhanced CT images. The model integrates CT radiom...