Colorectal tubular adenoma is the most common precancerous lesion of colorectal cancer, and the point is that its precise prevention and treatment can reduce the incidence of colorectal cancer.However, the epidemiological characteristics of colorectal tubular adenoma in China are unclear, the rate of missed diagnosis by colonoscopy is high, and the existing diagnosis and treatment techniques are lack of unified quality control standards,which makes it difficult to diagnose and achieve accurate prevention and control. How to improve the precise prevention and treatment of colorectal tubular adenoma and reduce the incidence of colorectal cancer is a major clinical scientific problem that needs to be solved urgently. For this purpose, this study was conducted in colorectal guided by the needs of accurate prevention and treatment of tubular adenoma lesions,and a multi-center colorectal tubular adenoma data management platform and a high-risk population database covering a full range of data including demographic characteristics, lifestyle factors, clinical information, endoscopic data and pathological images were established, biological sample databases of patients with pathological changes and high-risk populations were established, and data quality control and sample quality control standards were formulated standards-based. The pathological prediction model and accurate risk assessment system of colorectal tubular adenoma were constructed by the pathological database.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Clinical information such as demographic characteristics, clinical data, endoscopy and pathological images
Timeframe: 2024.05-2026.12