Artificial intelligence-assisted ultrasound endoscopy for diagnosis of pancreatic masses

Status

Active, not recruiting

Phases

Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2300074124

Enrollment

Unknown

Registered

2023-07-31

Start date

2023-08-01

Completion date

Unknown

Last updated

2023-08-07

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

Conditions

pancreatic tumors

Interventions

Gold Standard:pathological findings

Index test:Collect ultrasound endoscopic images and videos of pancreatic masses for training and testing of artificial intelligence models. To achieve automatic segmentation of pancreatic masses and d

Eligibility

Sex/Gender

All

Age

18 Years to 85 Years

Inclusion criteria

Inclusion criteria: (1) Be between 18 and 85 years of age; (2) Performed ultrasound endoscopy. Patients with pathologically confirmed pancreatic tumors. Patients diagnosed as having chronic pancreatitis by imaging and blood amylase. (3) Prospectively collected endoscopic videos with patients signing an informed consent form.

Exclusion criteria

Exclusion criteria: (1) Multiple lesions of the pancreas (2) history of pancreatic surgery or chemotherapy. (3) Poor image quality.

Design outcomes

Primary

Measure	Time frame
accuracy;Sensitivity;Specificity;Intersection over Union,IoU;	—

Countries

China

Contacts

Public ContactYanting Shi

Zibo Central Hospital

yantingshi@126.com+86 533 357 0438

Outcome results

None listed

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