Clinical Research on a Noval Deep-learning Based System in Benign and Malignant Pancreatic Masses Diagnosing Under Harmonic Contrast-enhanced Endoscopic Ultrasound
Clinical Research on a Noval Deep-learning Based System in Benign and Malignant Pancreatic Masses Diagnosing Under Harmonic Contrast-enhanced Endoscopic Ultrasound
In this study, a single-center, prospective, self-control, and blind design was adopted.
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.
Inclusion Criteria:
Exclusion Criteria:
First. The patient's physical condition does not meet the requirements of conventional ultrasound endoscopic puncture:
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:
wxy20011@163.com+8613974889301