Using AI to improve pancreatic ultrasound scanning

Clinical Research on Navigation and Quality Control System of Pancreatic Ultrasound Endoscopy Based on Deep Learning

This study is testing whether a new AI system can help doctors do pancreatic ultrasound scans more accurately and quickly.

Quick facts

• Phase: Not applicable
• Study type: Interventional
• Enrollment: 200 (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: NCT05792267 on ClinicalTrials.gov

What this trial studies

This clinical trial aims to develop and validate a deep-learning based artificial intelligence system to assist in pancreatic endoscopic ultrasound (EUS) scanning. The study will compare the accuracy of image recognition between the AI system and trained ultrasound endoscopists, as well as evaluate whether the AI can enhance the efficiency of the scanning process. Participants will undergo pancreatic EUS with or without the AI assistance, allowing for a direct comparison of outcomes. The trial will collect and analyze video and image data to assess the effectiveness of the AI system in identifying anatomical structures.

Who should consider this trial

Good fit: Ideal candidates for this study are adults aged 18 to 80 who require endoscopic ultrasonography of the pancreas.

Not a fit: Patients with severe physical conditions or those who do not meet the criteria 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 pancreatic ultrasound examinations, leading to better patient outcomes.

How similar studies have performed: While the use of AI in medical imaging is a growing field, this specific application in pancreatic EUS is relatively novel and has not been extensively tested in prior studies.

Eligibility criteria

Inclusion Criteria:

* 1\. Age ≥18 years old, \<80 years old 2.Patients who need endoscopic ultrasonography of pancreas; 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. Pancreatic disease has undergone surgery or radiotherapy and chemotherapy beforehand;
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

Conditions Pancreatic Disease