Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning.

ABSTRACT: Objective. To develop an artificial intelligence method predicting lymph node metastasis (LNM) for patients with colorectal cancer (CRC). Impact Statement. A novel interpretable multimodal AI-based method to predict LNM for CRC patients by integrating information of pathological images and serum tumor-specific biomarkers. Introduction. Preoperative diagnosis of LNM is essential in treatment planning for CRC patients. Existing radiology imaging and genomic tests approaches are either unreliable or too costly. Methods. A total of 1338 patients were recruited, where 1128 patients from one centre were included as the discovery cohort and 210 patients from other two centres were involved as the external validation cohort. We developed a Multimodal Multiple Instance L

SUBMITTER: Liu H 

PROVIDER: S-EPMC10521754 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature