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Artificial intelligence-based vessel recognition, tissue and instrument segmentation model in endoscopic submucosal dissection: a prospective non-interventional multicenter study

Artificial intelligence-based vessel recognition, tissue and instrument segmentation model in endoscopic submucosal dissection: a prospective non-interventional multicenter study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500096361
Enrollment
Unknown
Registered
2025-01-22
Start date
2025-01-31
Completion date
Unknown
Last updated
2025-01-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Endoscopic submucosal dissection

Interventions

Gold Standard:Large vessel boundaries marked by endoscopists
Index test:Artificial intelligence-based vessel recognition, tissue and instrument segmentation model in endoscopic submucosal dissection

Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1) Patients over 18 years of age who have undergone ESD surgery; 2) Patients with precancerous or early gastrointestinal cancer confirmed or highly suspected by preoperative biopsy.

Exclusion criteria

Exclusion criteria: 1) The video quality of ESD surgery is poor; 2) Unwilling to sign informed consent.

Design outcomes

Primary

MeasureTime frame
Large vessels detection rate;—

Secondary

MeasureTime frame
Intersection over Union, IOU;Dice Index;—

Countries

China

Contacts

Public ContactBing Hu

West China Hospital, Sichuan University

hubing@wchscu.edu.cn+86 189 8060 1278

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026