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Pilot Study of dMRI as a Tool for Early Evaluation of Tumor Response in Diffuse Large B-cell Lymphoma

Pilot Study of Diffusion MRI as a Tool for Early Evaluation of Tumor Response in Diffuse Large B Cell Lymphoma

Status
Terminated
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT00645359
Acronym
dMRI
Enrollment
9
Registered
2008-03-27
Start date
2006-11-30
Completion date
2014-04-30
Last updated
2017-04-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diffuse Large B Cell Lymphoma

Keywords

dMRI, diffusion MRI, Diffuse large B-cell lymphoma, DLBCL

Brief summary

This research study is designed to test whether the results of a diffusion MRI scan performed after one cycle of chemotherapy for lymphoma can accurately predict the outcome of treatment for individual patients.

Detailed description

Different types of functional imaging are under investigation as a tool to predict response to treatment, as imaging soon after starting therapy might be able to better define the likelihood of response. Functional imaging refers to scans that measure characteristics other than size and shape (anatomic imaging), as measured by CT scans. We are interested in evaluating the potential value of diffusion Magnetic Resonance Imaging (dMRI), which in some settings can be used very early in treatment in predicting patients' response to treatment. Diffusion MRI (dMRI) detects changes in cell structure, and has the potential to detect and measure cell changes that occur in response to treatment. Several groups are investigating the use of dMRI to monitor treatment responses. This strategy has been most frequently explored in humans in patients with brain tumors, where dMRI has been demonstrated to predict response to treatment early after starting treatment. A few studies have looked at response in other cancers. These studies showed early changes in patients who later responded to treatment, with changes seen within one to 2 weeks. Although diffusion MRI has been shown to be useful in several cancer types, it has not been explored in the evaluation of lymphoma. This pilot study will evaluate the imaging characteristics of Diffuse Large B-Cell Lymphoma (DLBCL) by dMRI prior to treatment and 7 days after initial chemotherapy in order to explore whether dMRI is useful in evaluating the response of lymphoma to chemotherapy.

Interventions

PROCEDUREdiffusion MRI

Diffusion MRI involves using MRI scanning to measure water transport at the cellular level. In this study, dMRI is being used to measure the response of tumors to chemotherapy.

Sponsors

University of Michigan Rogel Cancer Center
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients with a new diagnosis of CD20 Positive diffuse large B cell lymphoma (LBCL) of any stage, including subtypes mediastinal large B cell, centroblastic, immunoblastic, T cell rich B cell and anaplastic B cell lymphoma, who will receive standard R/CHOP as first line chemotherapy will be included. * Patients must be age 18 or older. * No selection will be made on the basis of gender, race or ethnicity.

Exclusion criteria

* Patients will be excluded if the diagnosis of diffuse large B cell lymphoma cannot be confirmed. * Patients receiving treatment other than R/CHOP or R/CHOP followed by radiotherapy or who have previously been treated for DLBCL will be excluded. - Patients with HIV infection will also be excluded. No selection will be made based on other medical problems or laboratory values, except as they affect the patient's eligibility to receive standard R/CHOP chemotherapy as determined by the treating physician. * Patients who have magnetic metal implants or fragments in their body that are incompatible with MRI will be excluded.

Design outcomes

Primary

MeasureTime frameDescription
Mean Difference in Apparent Diffusion CoefficientBaseline and Day 8To assess whether changes in the apparent diffusion coefficient (ADC) during the early phase of chemotherapy are detectable in lymphoma, the ADC value will be calculated at the voxel level, on baseline and Day 8, and the mean difference will be calculated.
The Odds Ratio (OR) Between Tumor Response (Based on Changes in MR Imaging) and Duration of Response2 yearsTo correlate the changes on MR images with the tumor response after completion of chemotherapy and duration of response. Tumor response will be determined by the clinical evaluation, tumor dimensions, and metabolic response as assessed by 18-Fluoro-deoxy.

Countries

United States

Participant flow

Participants by arm

ArmCount
Diffusion MRI
Participants will undergo two Diffusion MRIs (Magnetic Resonance Imaging) at at baseline and Cycle 1 Day 8.
9
Total9

Baseline characteristics

CharacteristicDiffusion MRI
Age, Continuous61 years
Sex: Female, Male
Female
4 Participants
Sex: Female, Male
Male
5 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
— / —
other
Total, other adverse events
0 / 9
serious
Total, serious adverse events
0 / 9

Outcome results

Primary

Mean Difference in Apparent Diffusion Coefficient

To assess whether changes in the apparent diffusion coefficient (ADC) during the early phase of chemotherapy are detectable in lymphoma, the ADC value will be calculated at the voxel level, on baseline and Day 8, and the mean difference will be calculated.

Time frame: Baseline and Day 8

Population: No patients were analyzed due to insufficient resources, secondary to shifting research priorities.

Primary

The Odds Ratio (OR) Between Tumor Response (Based on Changes in MR Imaging) and Duration of Response

To correlate the changes on MR images with the tumor response after completion of chemotherapy and duration of response. Tumor response will be determined by the clinical evaluation, tumor dimensions, and metabolic response as assessed by 18-Fluoro-deoxy.

Time frame: 2 years

Population: No patients were analyzed due to insufficient resources, secondary to shifting research priorities.

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026