MedTrace Logo

Clinical Research on a Novel Deep-learning Based System in Pancreatic Mass Diagnosis

NCT04607720 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100

Last updated 2020-10-29

No results posted yet for this study

Summary

In this study, a single-center, prospective, self-control, and blind design was adopted.

Conditions

  • Solid Pancreatic Masses

Interventions

PROCEDURE

artificial-EUS-FNA

The ultrasound endoscopists manually determined the region of interest (ROI) according to CH-EUS, and punctured 2 needles in the tumor area with a 22G needle, and each needle moved 15-20 times back and forth in the lesion. After puncture, insert the needle core, rinse the needle with 0.1ml sterile saline, and further apply air flushing to ensure that each tissue is sent to the slide.

PROCEDURE

AI-EUS-FNA

In the AI-assisted diagnosis system, the assisted targeting EUS-FNA unit is applied, and the ultrasound endoscopist selects the region of interest (ROI) according to the thermogram to perform targeted EUS-FNA puncture(2 needles in the same way).

Sponsors & Collaborators

  • The Third Xiangya Hospital of Central South University

    lead OTHER

Principal Investigators

  • Li Tian, MD · The Third Xiangya Hospital of Central South University

  • Anliu Tang, MD · The Third Xiangya Hospital of Central South University

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
DOUBLE
Model
CROSSOVER

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-01-01
Primary Completion
2021-12-31
Completion
2022-06-30

Countries

  • China

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04607720 on ClinicalTrials.gov