Multicenter Observational Study of Multimodal AI for Upper GI Mesenchymal Tumor Diagnosis
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorHuazhong University of Science and Technology
About this trial
This study develops a multimodal AI model using endoscopic ultrasound, white-light endoscopy, and clinical information to support the diagnosis of upper GI mesenchymal tumors and the risk stratification of gastric GISTs.
Eligibility criteria
Qualifiers
Age ≥ 18 years old
Patients with an upper gastrointestinal subepithelial lesion (SEL) identified by white-light endoscopy and who have completed an endoscopic ultrasound (EUS) examination
Patients with a histopathological diagnosis of GIST confirmed by surgical or endoscopic resection, or other SELs confirmed by surgical resection, EUS-guided sampling, or other biopsy techniques
EUS image quality meets the following quality control standards
Disqualifiers
Age < 18 years old
Absolute contraindications for EUS examination, history of gastric surgery, pregnancy, severe comorbidities, or known allergy to anesthetic agents
EUS examination terminated prematurely due to esophageal stricture, obstruction, large space-occupying lesions, rapid changes in heart rate or respiratory rate, patient intolerance, or excessive residual food
EUS image quality does not meet the required quality control standards
Trial design
Treatments tested in this trial
- Multimodal AI Model
- Expert Endoscopist Assessment
Treatment groups
130 Participants
are divided into 1 treatment groupSponsors and collaborators
Source ClinicalTrials.gov