DCE-MRI Guided Neoadjuvant Chemotherapy for Borderline Resectable Pancreatic Cancer

February 25, 2026 updated by: Harrison Kim, Ohio State University
The goal of this study is to test whether chemotherapy guided by a new imaging method named DCE-MRI can more effectively reduce a pancreatic tumor, enabling curable surgery, over the conventional method when a tumor is categorized as borderline resectable pancreatic cancer. UAB radiological research team has been studying a cutting-edge imaging technique named dynamic contrast-enhanced magnetic resonance imaging, or DCE-MRI, for over 10 years. This technique has been globally used to calculate the blood flow of various tissues, including tumors. Blood flow often serves as a critical indicator showing a disease status. For example, a pancreatic tumor typically has low blood flow, so it can be used as an indicator to identify the presence of a pancreatic tumor. In addition, an effective therapy can result in the increase of blood flow in a pancreatic tumor during the early period of treatment. Therefore, the investigators may be able to determine whether the undergoing therapy is effective or not by measuring the change of blood flow in the pancreatic tumor and deciding whether to continue the therapy or try a different one.

Study Overview

Study Type

Interventional

Enrollment (Estimated)

50

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Indiana
      • Indianapolis, Indiana, United States, 46202
        • Recruiting
        • Indiana University Medical Center
        • Principal Investigator:
          • Asiq Masood, MD
        • Sub-Investigator:
          • Jordan Swensson, MD
        • Sub-Investigator:
          • Yu-Chien Wu, MD
        • Sub-Investigator:
          • Omer Saeed, MD
        • Contact:
          • D D
          • Phone Number: 5555555555
          • Email: D@UAB.EDU
    • Ohio
      • Columbus, Ohio, United States, 43210
        • Recruiting
        • The Ohio State University
        • Principal Investigator:
          • Harrison Kim, PhD
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Adult patients (age 19 years or older).
  • Patients with newly diagnosed and untreated borderline resectable pancreatic cancer.
  • Patients with signed informed consent.

Exclusion Criteria:

  • Any history of prior radiation or chemotherapy or surgical removal for pancreatic cancer.
  • Participants with safety contraindications to MRI examination (determined by standard clinical screening).
  • Participants who are pregnant, lactating or are planning to become pregnant during the study.
  • Participants who are planning to father a child during the study.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: borderline-resectable pancreatic cancer (BRPC)
P4 is a perfusion phantom developed by Dr. Harrison Kim that can significantly reduce variation in quantitating perfusion of human abdominal tissues across MRI scanners.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
To measure the reproducibility of qDCE-MRI measurement of BRPC.
Time Frame: 6 weeks +/- 2 weeks
The pharmacokinetic (PK) parameter within the region of interest (ROI) will be averaged at each scan after P4-based error correction, and the mean values of two scans will be compared to calculate the reproducibility coefficient (%RDC) using the equation, %RDC=2.77wCV, where wCV is the within-subject coefficient of variation. The %RDC before P4-based error correction will also be calculated for comparison. Data reproducibility will be assessed using the intra-class correlation coefficient (ICC) as well. ICC = σ 2b / (σ 2b+ σ 2w), where σb is between-subject standard deviation and σw is within-subject standard deviation.
6 weeks +/- 2 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Harrison Kim, PhD, Ohio State University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 10, 2024

Primary Completion (Estimated)

March 1, 2029

Study Completion (Estimated)

March 1, 2029

Study Registration Dates

First Submitted

December 7, 2023

First Submitted That Met QC Criteria

December 7, 2023

First Posted (Actual)

December 15, 2023

Study Record Updates

Last Update Posted (Actual)

February 27, 2026

Last Update Submitted That Met QC Criteria

February 25, 2026

Last Verified

February 1, 2025

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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