Using AI to improve mediastinal endoscopic ultrasound scanning
Official title: Clinical Research on Navigation and Quality Control System of Mediastinal Ultrasound Endoscopy Based on Deep Learning
Run by The Third Xiangya Hospital of Central South University · NCT05792280 · Data updated 2026-11-12
This study is testing whether an artificial intelligence tool can help doctors perform mediastinal endoscopic ultrasounds more accurately and efficiently.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 80 Years |
| Sex | All |
| Enrollment | 180 (estimated) |
| Sponsor | The Third Xiangya Hospital of Central South University Academic / other |
| Drugs / interventions | chemotherapy |
| Locations | 1 site (Changsha, Hunan) |
| Status | Recruiting |
| Started | January 1, 2021 |
| Main results expected | March 30, 2025 |
| Study ends | April 10, 2025 |
| Registry record updated | March 13, 2025 |
| Trial ID | NCT05792280 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults aged 18 to 80 who require endoscopic ultrasonography.
✕Probably not a fit
Patients with severe physical conditions or those who do not meet the requirements for conventional endoscopic ultrasonography will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This clinical trial aims to develop and validate an artificial intelligence system designed to assist in mediastinal endoscopic ultrasound (EUS) scanning. The study will collect 200 EUS video cases to compare the accuracy of image recognition between the AI system and trained ultrasound endoscopists. Additionally, it will assess whether the AI can enhance the completeness and efficiency of the scanning process. Participants will undergo EUS with or without the AI assistance to evaluate its effectiveness.
Why it matters
Potential benefit: If successful, this AI system could significantly enhance the accuracy and efficiency of mediastinal ultrasound procedures for patients.
How similar studies have gone: Other studies have shown promise in using AI for imaging and diagnostic purposes, suggesting potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * 1\. 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. Exclusion Criteria: * 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: 1. Poor physical condition, including hemoglobin ≤8.0g/dl, severe cardiopulmonary insufficiency, etc. 2. Anesthesia assessment failed 3. Pregnancy or breastfeeding 4. In the acute stage of chemical and corrosive injury, it is very easy to cause perforation 5. Recent acute coronary syndrome or clinically unstable ischemic heart attack 6. 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: 1. Mediastinal lesions have previously undergone surgery or radiotherapy and chemotherapy; 2. Mental illness, drug addiction, inability to express themselves or other diseases that may affect follow-up.
Where it's running
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The Third Xiangya Hospital of Central South University
Changsha, Hunan, China Recruiting
Study contacts
- Principal investigator: Xiaoyan Wang, Doctor — The Third Xiangya Hospital of Central South University
- Study coordinator: Xiaoyan Wang, Doctor
- Email: wxy20011@163.com
- Phone: +8613974889301
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.