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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

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04607720
Enrollment
100
Registered
2020-10-29
Start date
2020-01-01
Completion date
2022-06-30
Last updated
2020-10-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Solid Pancreatic Masses

Brief summary

In this study, a single-center, prospective, self-control, and blind design was adopted.

Detailed description

It is planned to enroll 100 patients with solid pancreatic masses who are to be diagnosed with contrast-enhanced harmonic endoscopy ultrasonography (CH-EUS) follow by EUS-guided fine-needle aspiration (EUS-FNA). First, all patients will be diagnosed both by the AI-assisted diagnosis system and the endoscopists under CH-EUS; Second, to compare the EUS-FNA under the guidance of the AI-assisted ultrasound diagnosis system and the EUS-FNA under manual identification, patients were randomly assigned to undergo EUS-FNA with or without the guidance of AI-assisted diagnosis system for the first two passes.

Interventions

PROCEDUREartificial-EUS-FNA

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.

PROCEDUREAI-EUS-FNA

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).

Sponsors

The Third Xiangya Hospital of Central South University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
DIAGNOSTIC
Masking
DOUBLE (Subject, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
No

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: 1. Poor physical condition, including hemoglobin ≤8.0g/dl, severe cardiopulmonary insufficiency, etc. 2. Blood coagulation dysfunction (platelet count \<50×1012, international standardized ratio\> 1.5) or taking oral anticoagulants such as aspirin or warfarin within a week 3. Anesthesia assessment failed 4. Had acute pancreatitis within 2 weeks 5. Pregnancy or breastfeeding 6. Known history of allergy to sulfur hexafluoride or other components 7. Recent acute coronary syndrome or clinically unstable ischemic heart attack 8. 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 chemotherapy beforehand 2. The patient was diagnosed with pancreatic cystic disease or duodenal stenosis 3. Mental illness, drug addiction, inability to express themselves or other diseases that may affect follow-up

Design outcomes

Primary

MeasureTime frameDescription
sensitivity1 yearcompare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses
specificity1 yearcompare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses
accuracy1 yearcompare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses
the diagnosis rate of first needle aspiration1 yearcompared the diagnosis rate of AI-EUS-FNA and artificial-EUS-FNA first needle aspiration for benign and malignant pancreatic masses
positive predictive value1 yearcompare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses
negative predictive value1 yearcompare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses

Secondary

MeasureTime frameDescription
core tissue length1 yearTo evaluate the specimen quality through core tissue length of AI-EUS-FNA and artificial-EUS-FNA

Countries

China

Contacts

Primary ContactWang Xiao, MD
wxy20011@163.com+8613974889301

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 10, 2026