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Defining a Vascular Phenotype of Pancreatic Ductal Adenocarcinoma With CT Perfusion Using Quantitative Radiomics

Not Applicable
Recruiting
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
Inclusion Criteria
  • Clinical suspicion of pancreatic cancer
  • 18 years and older
  • written (signed and dated) informed consent
Exclusion Criteria
  • 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
GroupInterventionDescription
CT PerfusionCT PerfusionAll 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
NameTimeMethod
Correlation of CT-perfusion features with histopathological featuresBaseline, 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-perfusionBaseline

To classify a vascular phenotype with CTP using automated perfusion analysis in patients with pancreatic ductal adenocarcinoma

Secondary Outcome Measures
NameTimeMethod
Association between survival and CT-perfusion featuresBaseline, at 2 Years

Automated AI analysis of survival using CT perfusion in patients with pancreatic ductal adenocarcinoma.

Prediction of chemotherapy responseBaseline, 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 RECISTBaseline, 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

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