Deep Learning-Based Analysis of Colorectal Cancer Pathology Images: An Innovative Approach for Predicting Colorectal Cancer Subtypes

CompletedOBSERVATIONAL
Enrollment

431

Participants

Timeline

Start Date

May 22, 2023

Primary Completion Date

March 6, 2024

Study Completion Date

March 6, 2024

Conditions
Colorectal Liver Metastasis (CRLM)Histopathological Growth Patterns (HGPs)Artificial Intelligence (AI) in DiagnosisVision Transformer (ViT)Desmoplastic Classification
Interventions
PROCEDURE

CRLM surgery

Surgical resection of colorectal cancer liver metastasis (CRLM) involves the removal of metastatic lesions from the liver. This procedure is aimed at improving survival rates and reducing tumor burden in patients diagnosed with CRLM. The resection is performed to treat liver metastasis, and clinical outcomes, such as progression-free survival (PFS) and overall survival (OS), are assessed post-surgery to determine treatment efficacy.

Trial Locations (1)

510655

Ethics Committee of the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou

All Listed Sponsors
lead

Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

OTHER

NCT06936098 - Deep Learning-Based Analysis of Colorectal Cancer Pathology Images: An Innovative Approach for Predicting Colorectal Cancer Subtypes | Biotech Hunter | Biotech Hunter