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3D Modeling for Detecting Locally Advanced Rectal Cancer With Positive Circumferential Resection Margin
Sponsor: Taichung Veterans General Hospital
Summary
This retrospective study aims to develop an AI-assisted 3D modeling system to improve staging accuracy for stage II-III locally advanced rectal cancer (LARC). High-quality CT images from Taichung Veterans General Hospital will be used to reconstruct tumor boundaries and spatial relationships. The AI model will be trained and validated against MRI and pathology results to predict circumferential resection margin (CRM) status. Outcomes include sensitivity, specificity, accuracy, and agreement with standard imaging. This system seeks to support precise tumor staging and inform future clinical decision-making.
Official title: Using 3D Modeling to Detect Locally Advanced Rectal Cancer With Positive Circumferential Resection Margin
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
1500
Start Date
2025-10-01
Completion Date
2026-07-31
Last Updated
2025-09-19
Healthy Volunteers
No
Interventions
AI-Assisted 3D Imaging Model for Tumor and CRM Assessmen
This study uses an AI-assisted 3D imaging model to analyze existing CT and MRI images of stage II-III locally advanced rectal cancer patients. The system reconstructs tumor boundaries and spatial relationships, predicts circumferential resection margin (CRM) status, and supports staging assessment. No interventions are performed on participants, and all data are collected retrospectively from routine clinical care.
Locations (1)
Taichung Veterans General Hospital
Taichung, Taiwan