AI 3D Imaging Model to Detect Advanced Rectal Cancer Spread
Tests an AI-assisted 3D imaging model to assess rectal cancer spread in adults.
Plain-language title generated from the registry record
Registry title: 3D Modeling for Detecting Locally Advanced Rectal Cancer With Positive Circumferential Resection Margin
Key facts
- Where
- Taichung, TaiwanSee the site
Where in Taiwan
- Taichung Veterans General HospitalTaichung, TaiwanNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Taichung Veterans General Hospital
- Trial code
- NCT07183124
- Record updated
- 19 September 2025
- Original description
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.Read full original descriptionShow less
Using 3D Modeling to Detect Locally Advanced Rectal Cancer With Positive Circumferential Resection Margin
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.
Inclusion: Diagnosed with rectal cancer, clinical stage II-III, with no distant metastasis (M0); Age over 18 years, with adequate physical status classified as American Society of Anesthesiologists (ASA) I-III, capable of receiving treatment and surgery; No history of other malignancies or major diseases affecting study assessment within the past three years; Complete medical records, including available CT and MRI imaging.
Exclusion: Patients with clinical stage I or IV rectal cancer; Presence of other major diseases or malignancies affecting tumor assessment (e.g., diagnosis of another malignancy within the past three years, uncontrolled cardiovascular disease); Age under 18 years, or physical status not meeting American Society of Anesthesiologists (ASA) I-III criteria, unable to undergo surgery or related treatment; Incomplete medical records or imaging data, including missing required CT or MRI images.