NCT06790108

Brief Summary

The goal of this clinical trial is to verify the auxiliary role of the artificial intelligence (AI) system in mediastinal endoscopic ultrasound (EUS) scans. The main questions it aims to answer are as follows:

  1. 1.A comparison of the image recognition accuracy between the AI system and EUS endoscopists.
  2. 2.Whether the AI system can improve the quality of mediastinal scans for EUS endoscopists.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
200

participants targeted

Target at P75+ for not_applicable

Timeline
2mo left

Started Jan 2025

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress90%
Jan 2025Jun 2026

Study Start

First participant enrolled

January 15, 2025

Completed
2 days until next milestone

First Submitted

Initial submission to the registry

January 17, 2025

Completed
6 days until next milestone

First Posted

Study publicly available on registry

January 23, 2025

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2025

Completed
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2026

Expected
Last Updated

January 23, 2025

Status Verified

January 1, 2025

Enrollment Period

12 months

First QC Date

January 17, 2025

Last Update Submit

January 17, 2025

Conditions

Outcome Measures

Primary Outcomes (1)

  • The completeness for standard station scanning

    The primary outcome measure was the completeness for standard station scanning of EUS by endoscopists in the two groups. This was calculated as the number of stations successfully scanned divided by the total number of stations that should have been scanned.

    1 year

Secondary Outcomes (3)

  • The completeness of anatomical structure scanning

    1 year

  • Procedure time

    1 year

  • The incidence of adverse events

    1 year

Study Arms (2)

AI-assisted group

EXPERIMENTAL

Endoscopists perform scans with the assistance of AI device.

Device: Artificial intelligence device

Control group

PLACEBO COMPARATOR

Endoscopists perform scans without the assistance of AI device.

Device: Artificial intelligence device

Interventions

This AI device can provide prompts for standard sites of pancreatic scans and anatomical structures. It may also suggest the next operation methods.

AI-assisted groupControl group

Eligibility Criteria

Age18 Years - 80 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • \. Age ≥18 years old, \<80 years old 2.Patients who need endoscopic ultrasonography; 3. Agree to participate in this study and sign the informed consent form.

You may not qualify if:

  • Subjects who meet any of the following criteria cannot be selected for this trial:
  • First. The patient's physical condition does not meet the requirements of conventional endoscopic ultrasonography:
  • Poor physical condition, including hemoglobin ≤8.0g/dl, severe cardiopulmonary insufficiency, etc. Anesthesia assessment failed Pregnancy or breastfeeding In the acute stage of chemical and corrosive injury, it is very easy to cause perforation Recent acute coronary syndrome or clinically unstable ischemic heart attack Heart disease patients with right-to-left shunt, patients with severe pulmonary hypertension (pulmonary artery pressure\> 90mmHg), patients with uncontrolled systemic hypertension and patients with adult respiratory distress syndrome.
  • Second. Disagree to participate in this study.
  • Third. There are other problems that do not meet the requirements of this research or that affect the results of the research:
  • Mediastinal lesions have previously undergone surgery or radiotherapy and chemotherapy;
  • Mental illness, drug addiction, inability to express themselves or other diseases that may affect follow-up.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

The Third Xiangya Hospital of Central South University

Changsha, Hunan, 410000, China

RECRUITING

MeSH Terms

Conditions

Mediastinal Diseases

Condition Hierarchy (Ancestors)

Thoracic DiseasesRespiratory Tract Diseases

Study Officials

  • Xiaoyan Wang, Doctor

    The Third Xiangya Hospital of Central South University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Xiaoyan Wang, Doctor

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
TRIPLE
Who Masked
PARTICIPANT, INVESTIGATOR, OUTCOMES ASSESSOR
Purpose
DIAGNOSTIC
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

January 17, 2025

First Posted

January 23, 2025

Study Start

January 15, 2025

Primary Completion

December 31, 2025

Study Completion (Estimated)

June 30, 2026

Last Updated

January 23, 2025

Record last verified: 2025-01

Data Sharing

IPD Sharing
Will not share

Some data underlying this trial cannot be shared publicly due to protection of participant's privacy.

Locations