Solid pancratic lesion (such as pancreatic ductal adenocarcinoma, pancreatic neuroendocrine tumors, and non-tumor pancreatic benign lesions)
Conditions
Interventions
Index test:Primary outcome: The accuracy of artificial intelligence based on deep learning.
Secondary outcomes: These include the sensitivity, specificity, positive predictive value, negative predicti
Sponsors
Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1.A dated and signed informed consent form; 2.A commitment to abide by the research procedures and cooperate throughout the entire study; 3.Subjects aged 18 and above, regardless of gender; 4.Diagnosis or suspicion of a solid pancreatic space-occupying lesion based on imaging studies (B-mode ultrasound, CT, or MRI);
Exclusion criteria
Exclusion criteria: 1.Unable or refusing to sign the informed consent form; 2.Unable to suspend anticoagulation/antiplatelet therapy; 3.Pregnant or lactating; 4.Having a mental illness or other medical conditions that are unsuitable for undergoing FNA/B biopsy; 5.Presence of coagulation disorders (PLT 1.5); 6.Pancreatic cystic lesions; 7.Non-diagnostic EUS-FNA/B specimens; 8.Having less than 8 microscopic fields of interest (ROI) in the digital pathology images of the entire Diff-Quik smear slide;
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Accuracy; | — |
Secondary
| Measure | Time frame |
|---|---|
| Precision;PPV;Recall;NPV;Sensitivity;Specificity; | — |
Countries
China
Contacts
Public ContactDuowu Zou
Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Outcome results
None listed