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Clinical Research on a Novel Deep-learning Based System in Mediastinal Endoscopic Ultrasound Scanning

StatusRecruiting
PhaseNot applicable
Started
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Record status
This record was last updated March 13, 2025 (before its estimated March 30, 2025 completion). Its status may not reflect the trial's current state.

Record History

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  1. Notable Enrollment target: 115 to 180v3 Show 4 more changesShow less
    • Trial status: Completed to Recruiting
    • Primary completion date: Nov 30, 2024 to Mar 30, 2025
    • Study completion date: Dec 30, 2024 to Apr 10, 2025
    • Site details revised
  2. Notable Primary completion date changed from estimate of Dec 31, 2023 to Nov 30, 2024v2 Show 9 more changesShow less
    • Study completion date changed from estimate of Jan 31, 2024 to Dec 30, 2024
    • Primary endpoints: 5 to 2
    • Trial status: Recruiting to Completed
    • Enrollment target: estimated 200 to confirmed 115
    • Start date: Dec 1, 2022 to Jan 1, 2021
    • Secondary endpoints: 1 to 5
    • Site details revised
    • Eligibility criteria shortened, about 2 words
    • Study description shortened, about 5 words
  3. Minor Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
The goal of this clinical trial is to develop and verify the auxiliary role of the artificial intelligence system in mediastinal ultrasound endoscopic scanning. The main questions it aims to answer are as follows: 1.The comparison of the image recognition accuracy between the artificial intelligence system and the ultrasound endoscopist; 2. Whether the artificial intelligence system can improve the integrity and efficiency of the mediastinum scanning for the ultrasound endoscopist. Participants will undergo mediastinal EUS with or without the assistance of the artificial intelligence system.
Trial Details
NCT Number NCT05792280
Lead Sponsor The Third Xiangya Hospital of Central South University
Conditions
(from sponsor)
Mediastinum Disease
Related terms Mediastinal Diseases
Enrollment 180 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov