Endoscopic Ultrasound-guided Fine-needle Aspiration of Solid Pancreatic Lesions With Rapid Staining of Cytological Smears Followed by Whole Slide Scanning and Artificial Intelligence Diagnosis: A Prospective, Multicenter Study.

RecruitingOBSERVATIONAL
Enrollment

1,500

Participants

Timeline

Start Date

December 31, 2024

Primary Completion Date

May 31, 2027

Study Completion Date

June 30, 2027

Conditions
Pancreatic Disease
Interventions
DEVICE

ROSE-AI diagnostic system

"All samples were obtained due to the necessity for disease treatment and in accordance with routine clinical workflows. After the pathological diagnoses were confirmed by the pathology departments of the hospitals affiliated with the respective endoscopic centers, the eligible pancreatic puncture Diff-Quik stained smears were borrowed and transferred to Ruijin Hospital Affiliated to School of Medicine, Shanghai Jiao Tong University. There, the self-developed Zhiying Shunxi system was used to capture corresponding traditional light microscope RGB images. After the imaging was completed, all specimens were returned to the endoscopic centers from which they originated. Using the RGB images as input, an artificial intelligence algorithm was developed to assist in differentiating solid pancreatic lesions."

Trial Locations (2)

200000

RECRUITING

Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai

200025

RECRUITING

Department of Gastroenterolog, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai

All Listed Sponsors
collaborator

Second Affiliated Hospital of Soochow University

OTHER

collaborator

Fudan University

OTHER

collaborator

Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine

OTHER

collaborator

The Third Xiangya Hospital of Central South University

OTHER

collaborator

Shanghai 10th People's Hospital

OTHER

collaborator

Affiliated Hospital of Jiangnan University

OTHER

collaborator

Jiangyin People's Hospital

OTHER

lead

Ruijin Hospital

OTHER