Pancreatic ductal adenocarcinoma
Conditions
Interventions
Gold Standard:For the diagnosis of pancreatic ductal adenocarcinoma (PDAC), the gold standard will be pathological examination (such as tissue biopsy), confirmed through surgical resection and histopa
Index test:Diagnostic Tests:
1. Preoperative CT Imaging Analysis Combined with Deep Learning Models
Sensitivity: This metric evaluates the true positive rate of the deep learning model in predicting l
Sponsors
Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Diagnosis of Pancreatic Cancer (PDAC): The patient must be diagnosed with pancreatic cancer through pathological or radiological examination. 2. Availability of Preoperative Imaging Data: The patient must provide complete preoperative CT imaging data, and the quality of the images must meet the requirements for deep learning analysis. 3. Age Requirement: Patients must be 18 years or above Clear Clinical and Pathological Characteristics: The patient must have accessible clinical and pathological data, such as tumor location, size, degree of differentiation, etc. Informed Consent: The patient or their legal representative must agree to participate in the study and sign an informed consent form.
Exclusion criteria
Exclusion criteria: 1. Non-pancreatic Cancer Patients: Patients with an unclear or undiagnosed pancreatic cancer diagnosis. 2. Incomplete or Poor-quality Preoperative Imaging Data: Patients whose preoperative imaging data is missing or of insufficient quality to meet the requirements for deep learning analysis. 3. Severe Comorbidities: Patients with serious systemic diseases, such as severe heart disease or liver/kidney failure, that may affect postoperative treatment and prognosis. 4. Inability to Cooperate with the Study: Patients who are unable to understand the study requirements or cooperate due to language, cognitive, or other barriers.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Sensitivity;Specificity;Accuracy;PPV;NPV;Receiver Operating Characteristic Curve; | — |
Countries
China
Contacts
Public ContactNing Wen
Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Outcome results
None listed