Clinical Trials Directory

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RecruitingNCT07250347

AI-Assisted Detection and Staging of Gastric Cancer Using Contrast-Enhanced CT

Langue and Imaging-integrated Foundation Model for Gastric Cancer Detection and Staging Via Contrast-Enhanced CT: a Multicenter Study

Status
Recruiting
Phase
Study type
Observational
Enrollment
8,000 (estimated)
Sponsor
The First Affiliated Hospital with Nanjing Medical University · Academic / Other
Sex
All
Age
18 Years – 85 Years
Healthy volunteers
Not accepted

Summary

Accurate preoperative assessment of gastric cancer stage guides eligibility for endoscopic resection, extent of gastrectomy and lymphadenectomy, selection for neoadjuvant therapy, and use of staging laparoscopy. Contrast-enhanced CT (CECT) is guideline-endorsed for initial staging, yet performance varies across institutions and readers. This study will evaluate an artificial-intelligence (AI) system that analyzes routine CECT to detect gastric cancer and assign four-class T stage (T1-T4) and N stage (N0-N3) .

Detailed description

Adults with confirmed gastric cancer undergoing pre-treatment CECT will be enrolled. The AI analysis will be applied to clinically acquired images. Radiologist interpretations with and without AI support will be collected in a prespecified reader study. The reference standard will include surgical pathology, supplemented by clinical follow-up when applicable. The primary outcome is detection performance, diagnostic performance of the AI for four-class staging (e.g., accuracy and area under the receiver operating characteristic curve). Secondary outcomes include the effect of AI assistance on reader accuracy and interpretation time, inter-reader agreement, and cross-site reproducibility.

Conditions

Interventions

TypeNameDescription
DIAGNOSTIC_TESTCT scanpreoperative contrast-enhanced CT

Timeline

Start date
2025-08-01
Primary completion
2028-12-30
Completion
2028-12-30
First posted
2025-11-26
Last updated
2025-11-26

Locations

1 site across 1 country: China

Source: ClinicalTrials.gov record NCT07250347. Inclusion in this directory is not an endorsement.