3D Modeling for Detecting Locally Advanced Rectal Cancer With Positive Circumferential Resection Margin
NCT ID: NCT07183124
Last Updated: 2025-09-19
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
1500 participants
OBSERVATIONAL
2025-10-01
2026-07-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
* 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 Criteria
* Age under 18 years, or physical status not meeting American Society of Anesthesiologists (ASA) I-III criteria, unable to undergo surgery or related treatment.
* Presence of other major diseases or malignancies affecting tumor assessment (e.g., diagnosis of another malignancy within the past three years, uncontrolled cardiovascular disease).
* Incomplete medical records or imaging data, including missing required CT or MRI images.
18 Years
ALL
No
Sponsors
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National Health Research Institutes, Taiwan
OTHER
Taichung Veterans General Hospital
OTHER
Responsible Party
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Locations
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Taichung Veterans General Hospital
Taichung, , Taiwan
Countries
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Central Contacts
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Other Identifiers
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TCVGH-NHRI1142008
Identifier Type: OTHER_GRANT
Identifier Source: secondary_id
CE25536A
Identifier Type: -
Identifier Source: org_study_id
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