Defining a Vascular Phenotype of Pancreatic Ductal Adenocarcinoma With CT Perfusion Using Quantitative Radiomics
- Conditions
- PDAC - Pancreatic Ductal Adenocarcinoma
- Interventions
- Diagnostic Test: CT Perfusion
- Registration Number
- NCT05669287
- Lead Sponsor
- Radboud University Medical Center
- Brief Summary
With CT-perfusion(CTP) it is possible to visualize the enhancement pattern of the tumor. The perfusion CT, interleaved with a routine contrast enhanced CT (CECT) will be performed at diagnosis in all patients (goal: n=125 patients) and at the first follow-up at 3 months in patients treated with systemic therapy (goal: n=50 patients). Also, the histopathology will be collected for resected tumors to perform histopathology analysis. CTP parameters will be correlated to immunohistological findings and clinical outcome.
The main goal of the study is to create an AI-assisted method to classify patients with a vascular phenotype of pancreatic ductal adenocarcinoma (PDAC). The investigators expect that this phenotype can be used to predict overall survival and chemotherapy response.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 125
- Clinical suspicion of pancreatic cancer
- 18 years and older
- written (signed and dated) informed consent
- Contra-indications to undergo CT (due to untreatable contrast allergy or renal function impairment)
- Previous treatment for pancreatic cancer
- Concomitant malignancies. Subjects with prior malignancies must be disease-free for at least 5 years
- Insufficient command of the Dutch language to be able to understand the patient information
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description CT Perfusion CT Perfusion All patients will receive a baseline CT Perfusion scan. A subgroup of patients with chemotherapy treatment will receive a follow-up CT Perfusion after 3 months.
- Primary Outcome Measures
Name Time Method Correlation of CT-perfusion features with histopathological features Baseline, Time of Resection To correlate the vascular phenotype with histopathologic features (stroma and microvessel density) in patients with pancreatic ductal adenocarcinoma
Classification of vascular phenotype using CT-perfusion Baseline To classify a vascular phenotype with CTP using automated perfusion analysis in patients with pancreatic ductal adenocarcinoma
- Secondary Outcome Measures
Name Time Method Association between survival and CT-perfusion features Baseline, at 2 Years Automated AI analysis of survival using CT perfusion in patients with pancreatic ductal adenocarcinoma.
Prediction of chemotherapy response Baseline, 3 Months Sensitivity and specificity of CT-perfusion parameters to predict chemotherapy response in patients with pancreatic ductal adenocarcinoma.
Prediction of chemotherapy response compared to RECIST Baseline, 3 Months, 6 Months Sensitivity and specificity of CT-perfusion parameters to evaluate chemotherapy response in patients with pancreatic ductal adenocarcinoma, compared to RECIST 1.1 on conventional CECT.
Trial Locations
- Locations (1)
Radboud University Medical Hospital
🇳🇱Nijmegen, Gelderland, Netherlands