Whole-body Diffusion-weighted Magnetic Resonance Imaging for Staging and Treatment Prediction of Lymphoma

July 9, 2024 updated by: Universitaire Ziekenhuizen KU Leuven

Whole body diffusion-weighted imaging is a functional magnetic resonance imaging technique that characterizes tissue by probing changes in water diffusion secondary to differences in the tissue microstructure. These changes in water diffusion result in differences in signal intensity on diffusion-weighted-images that are quantified with the apparent diffusion coefficient (ADC). In malignant lesions, the extravascular extracellular space (EES) will be diminished, due to the increased number of cells. This will restrict water diffusion, identified by increased signal intensity (SI) on native DWI images and low ADC. Several studies indicate the value of DWI for differentiation of benign and malignant lymph nodes, detection of tumor recurrence and for ADC-based prediction of treatment outcome in various solid tumours (Koh DM et al, Am J Roentgenol 2007).

Patients with a new diagnosis of Hodgkin or Non-Hodgkin Lymphoma (only diffuse large B-cell lymphoma, follicular lymphoma, mantle cell lymphoma and PTLD) will be included in the study. These patients will receive a WB-DWI scan before treatment, once or twice during treatment (depending on the type of lymphoma) and after the completion of the treatment. The MRI scan will be performed on a 3 Tesla-MRI system without contrast administration and without exposing the patient to radiation.

Whole body diffusion-weighted images will be prospectively interpreted by two experienced radiologists, blinded to all clinical and imaging data. Findings will be correlated to FDG-18F-2-fluoro-2-deoxy-D-glucose fluorodeoxyglucose , biopsies performed in clinical routine (bone marrow always - soft tissue lesions if indicated) and imaging follow-up.

The purpose of this study is:

  • to evaluate Whole body diffusion-weighted imaging for staging of lymphoma
  • to evaluate Whole body diffusion-weighted imaging as an early predictive biomarker for treatment outcome
  • to evaluate Whole body diffusion-weighted imaging for differentiating residual tumor from post therapy changes

Study Overview

Status

Active, not recruiting

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

100

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 Locations

  • Belgium
    • Vlaams-Brabant
      • Leuven, Vlaams-Brabant, Belgium, 3000
        • University Hospital Leuven

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

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • every patient with a new diagnosis of Hodgkin or Non-Hodgkin Lymphoma (only diffuse large B-cel lymphoma, mantle cell lymphoma, follicular lymphoma and PTLD)

Exclusion Criteria:

  • patient with general contraindications for MRI (pacemaker, claustrophobia, etc.)
  • patients with a type of lymphoma other than those described in the inclusion criteria

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: MRI
diffusion-weighted MRI
Other: MRI
MRI scan without administration of contrast/without radiation

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
disease stage
Time Frame: 4 years
Lesions are characterized as benign or malignant based on signal intensity and ADC values, enabling correct determination of tumor extent (staging).
4 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
progression free survival
Time Frame: 6 years
We will investigate whether there is a correlation between ADC and signal intensity changes during therapy and progression free survival
6 years

Collaborators and Investigators

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

Sponsor

Universitaire Ziekenhuizen KU Leuven

Investigators

  • Principal Investigator: vincent vandecaveye, MD PhD, Universitaire Ziekenhuizen KU Leuven

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

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)

November 1, 2010

Primary Completion (Actual)

December 1, 2016

Study Completion (Estimated)

December 1, 2025

Study Registration Dates

First Submitted

October 28, 2010

First Submitted That Met QC Criteria

October 29, 2010

First Posted (Estimated)

November 1, 2010

Study Record Updates

Last Update Posted (Actual)

July 10, 2024

Last Update Submitted That Met QC Criteria

July 9, 2024

Last Verified

July 1, 2024

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • S51160

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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