NCT07183124

3D Modeling for Detecting Locally Advanced Rectal Cancer With Positive Circumferential Resection Margin

Using 3D Modeling to Detect Locally Advanced Rectal Cancer With Positive Circumferential Resection Margin

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 1,500 (estimated)
• Sponsor: Taichung Veterans General Hospital · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Conditions

• General Surgery
• Oncology
• Medical Informatics

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	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.

Timeline

• Start date: 2025-10-01
• Primary completion: 2026-06-30
• Completion: 2026-07-31
• First posted: 2025-09-19
• Last updated: 2025-09-19

Locations

1 site across 1 country: Taiwan