Prediction Model of Colorectal Adenoma Recurrence-Carcinogenesis Risk With TCM-WM Multimodal Feature Fusion

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Conditions studied: Colorectal Cancer Control and Prevention

In brief

This project focuses on developing a risk prediction model for the recurrence and malignant transformation of colorectal adenomas by integrating multimodal features from both Traditional Chinese Medicine (TCM) and Western medicine. Led by Dr. Wei Hongtao from Beijing Friendship Hospital, Capital Medical University, the primary objective is to mine clinical characteristics from both medical systems to construct a robust predictive model. The research encompasses several key aspects: a multicenter, large-sample cohort study design with a clearly defined sample size and calculation basis; patient recruitment from multiple institutions nationwide to form training and validation sets; and strict adherence to standardized TCM and Western diagnostic criteria. Through comprehensive observation of demographic, TCM clinical (e.g., syndromes, tongue and pulse diagnosis), and Western clinical features, the study ensures data accuracy via rigorous monitoring and follow-up. Various algorithms are employed to extract and analyze these multi-source features-including endoscopic data-to build and evaluate the prediction model. Furthermore, the study aims to identify dominant subgroups to optimize TCM intervention strategies. Key performance indicators include establishing the risk model, identifying target populations, publishing high-quality papers, and training graduate students. By innovatively constructing this multimodal fusion model, the project provides a novel perspective and evidence-based foundation for the prevention and treatment of colorectal adenomas using TCM.

Key facts

Study ID
NCT07611266
Run by
Beijing Friendship Hospital
People needed
3000
Starts
2025-06-01
Expected to finish
2028-11-30
Last updated by the study team
2026-05-28

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

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Where it is running

Full record on ClinicalTrials.gov

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