Using AI to improve mediastinal endoscopic ultrasound scanning
Clinical Research on Navigation and Quality Control System of Mediastinal Ultrasound Endoscopy Based on Deep Learning
This study is testing whether an artificial intelligence tool can help doctors perform mediastinal endoscopic ultrasounds more accurately and efficiently.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 180 (estimated) |
| Ages | 18 Years to 80 Years |
| Sex | All |
| Sponsor | The Third Xiangya Hospital of Central South University Academic / other |
| Drugs / interventions | chemotherapy |
| Locations | 1 site (Changsha, Hunan) |
| Trial ID | NCT05792280 on ClinicalTrials.gov |
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.
Who should consider this trial
Good fit: Ideal candidates for this study are adults aged 18 to 80 who require endoscopic ultrasonography.
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.
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 performed: Other studies have shown promise in using AI for imaging and diagnostic purposes, suggesting potential success for this approach.
Eligibility criteria
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 this trial is running
Changsha, Hunan
- 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 participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.