Clinical Research on a Novel Deep-learning Based System in Pancreatic Mass Diagnosis
Clinical Research on a Noval Deep-learning Based System in Benign and Malignant Pancreatic Masses Diagnosing Under Harmonic Contrast-enhanced Endoscopic Ultrasound
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Wang Xiao, MD
- Phone Number: +8613974889301
- Email: wxy20011@163.com
Study Locations
-
-
Hunan
-
Changsha, Hunan, China, 410013
- Recruiting
- The Third XIANGYA Hospital of Central South University
-
Contact:
- Wang Xiaoyan, MD
- Phone Number: +8613974889301
- Email: wxy20011@163.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- 1. Age ≥18 years old, <90 years old 2.The patient is confirmed to be a solid pancreatic mass in imaging examinations (MRI, CT or ultrasound), and CH-EUS is required for auxiliary diagnosis 3. Agree to participate in this study and sign the CH-EUS 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 ultrasound endoscopic puncture:
- Poor physical condition, including hemoglobin ≤8.0g/dl, severe cardiopulmonary insufficiency, etc.
- Blood coagulation dysfunction (platelet count <50×1012, international standardized ratio> 1.5) or taking oral anticoagulants such as aspirin or warfarin within a week
- Anesthesia assessment failed
- Had acute pancreatitis within 2 weeks
- Pregnancy or breastfeeding
- Known history of allergy to sulfur hexafluoride or other components
- 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:
- Pancreatic disease has undergone surgery or chemotherapy beforehand
- The patient was diagnosed with pancreatic cystic disease or duodenal stenosis
- Mental illness, drug addiction, inability to express themselves or other diseases that may affect follow-up
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: Double
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: the artificial-EUS-FNA group
the first two passes were made without the AI-assisted diagnosis system guidance during EUS-FNA, and then two passes were made under guidance from the AI-assisted diagnosis system
|
The ultrasound endoscopists manually determined the region of interest (ROI) according to CH-EUS, and punctured 2 needles in the tumor area with a 22G needle, and each needle moved 15-20 times back and forth in the lesion.
After puncture, insert the needle core, rinse the needle with 0.1ml sterile saline, and further apply air flushing to ensure that each tissue is sent to the slide.
In the AI-assisted diagnosis system, the assisted targeting EUS-FNA unit is applied, and the ultrasound endoscopist selects the region of interest (ROI) according to the thermogram to perform targeted EUS-FNA puncture(2 needles in the same way).
|
|
Experimental: the AI-EUS-FNA group
the first two passes were made with the AI-assisted diagnosis system guidance and then another two manual passes without the AI-assisted diagnosis system guidance.
|
The ultrasound endoscopists manually determined the region of interest (ROI) according to CH-EUS, and punctured 2 needles in the tumor area with a 22G needle, and each needle moved 15-20 times back and forth in the lesion.
After puncture, insert the needle core, rinse the needle with 0.1ml sterile saline, and further apply air flushing to ensure that each tissue is sent to the slide.
In the AI-assisted diagnosis system, the assisted targeting EUS-FNA unit is applied, and the ultrasound endoscopist selects the region of interest (ROI) according to the thermogram to perform targeted EUS-FNA puncture(2 needles in the same way).
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
accuracy
Time Frame: 1 year
|
compare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses
|
1 year
|
|
sensitivity
Time Frame: 1 year
|
compare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses
|
1 year
|
|
specificity
Time Frame: 1 year
|
compare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses
|
1 year
|
|
positive predictive value
Time Frame: 1 year
|
compare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses
|
1 year
|
|
negative predictive value
Time Frame: 1 year
|
compare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses
|
1 year
|
|
the diagnosis rate of first needle aspiration
Time Frame: 1 year
|
compared the diagnosis rate of AI-EUS-FNA and artificial-EUS-FNA first needle aspiration for benign and malignant pancreatic masses
|
1 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
core tissue length
Time Frame: 1 year
|
To evaluate the specimen quality through core tissue length of AI-EUS-FNA and artificial-EUS-FNA
|
1 year
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Li Tian, MD, The Third XIANGYA Hospital of Central South University
- Principal Investigator: Anliu Tang, MD, The Third XIANGYA Hospital of Central South University
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- 2020-CH-EUS-AI
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.