CT Scans for Pancreatic Cancer Diagnosis and Treatment Response
This study is looking at how well Computed Tomography (CT) scans work in diagnosing people with pancreatic cancer. Researchers want to see if CT scans can help predict how you might respond to chemotherapy, like fluorouracil/irinotecan/leucovorin calcium/oxaliplatin or gemcitabine/nab-paclitaxel. You would receive two CT scans: one before chemotherapy starts and another at your first follow-up visit with your oncologist. You would also complete two short questionnaires about your symptoms. The study aims to see if changes in your CT scans correlate with how well your cancer is controlled. The study is currently recruiting up to 259 participants who have pancreatic cancer that has not spread to distant parts of the body.
- Study design
- This is an interventional study with a planned enrollment of 259 participants. It is not specified if it is randomized or blinded.
- What's involved
- You would receive two CT scans and complete two questionnaires. The questionnaires should take about 10 minutes each.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint is measured at 4 months, looking at the correlation between local control and changes in mass transport by CT.
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Computed Tomography in Diagnosing Patients With Pancreatic or Hepatobiliary Cancer
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Eugene Koay · PRINCIPAL_INVESTIGATOR · M.D. Anderson Cancer Center
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Correlation Between Local Control and Changes in Mass Transport by Computed Tomography (CT)4 months
Local tumor progression defined by clinical signs or symptoms of local pancreatic tumor growth (e.g., worsening back/abdominal pain, obstruction, jaundice, etc.) that are documented by the attending clinician and research data coordinator and/or diagnostic imaging evidence of tumor growth. Kaplan-Meier method used to estimate probabilities of LPFS for patients with a normalized AUC ratio \<1 and patients with a normalized AUC ratio \>/=1, respectively. Log rank test applied to compare the LPFS between these two patient groups. Multivariate Cox proportional hazards models fitted to compare the LPFS between the two comparison groups, adjusting for the effects of patients' characteristics and clinical factors.