Deep convolutional neural network-based system for endoscopic ultrasound identification of pancreatic neuroendocrine tumors: a diagnostic pilot study

Status

Recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2100049697

Enrollment

Unknown

Registered

2021-08-08

Start date

2021-08-15

Completion date

Unknown

Last updated

2022-09-20

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

Conditions

pancreatic neuroendocrine tumors

Interventions

Gold Standard:Histopathological examination

Index test:Endoscopic&#32

Ultrasound&#32

Assistant

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Patients aged 18 and above undergoing EUS examination, including inpatients and outpatients; 2. Agree to participate in the research and be able to sign written informed consent; 3. Agree to undergo endoscopic histopathological examination or surgical resection when suspected Pnet, the former includes but is not limited to: fine needle aspiration guided by endoscopic ultrasonography.

Exclusion criteria

Exclusion criteria: 1. Patients with contraindications to endoscopic ultrasonography; 2. Those who performed biopsy and pathological examination in EUS examination but did not get a confirmed pathological diagnosis and pathological report; 3. Those who fail to complete endoscopic ultrasonography under special circumstances.

Design outcomes

Primary

Measure	Time frame
Ultrasound images and videos;Histopathology report;	—

Countries

China

Contacts

Public ContactLi Zhen

Qilu Hospital, Shandong University

lizhenh@hotmail.com+86 18560086106

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 6, 2026