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Detection and Characterization of Residual Masses in Lymphomas

Descriptive Information
Brief Title † Detection and Characterization of Residual Masses in Lymphomas
Official Title † Automatic Detection and Characterization of Residual Masses in Patients With Lymphomas Through Fusion of Whole‐Body Diffusion‐Weighted MRI on 3 Tesla and 18F‐Fluorodeoxyglucose PET/CT
Brief Summary The present study aims to further optimize a whole-body Diffusion‐Weighted Magnetic Resonance Imagery (DW-MRI or DWI) protocol on 3 Tesla MR and/or new system combining 3Tesla MR and Positron Emission Tomography (PET), to develop and validate an automated whole-body parametric image analysis algorithm, and to determine the added value of whole-body DWI to Fluorodeoxyglucose-PET for the management of lymphoma patients.
Detailed Description Imaging biomarkers are important tools for the detection and characterization of cancers as well as for monitoring the response to therapy. "Whole-body" molecular imaging, in particular using 18-Fluorodeoxyglucose-PET, has been proven useful in the evaluation and management of lymphoma patients. FDG-PET has evolved as a valuable biomarker in aggressive lymphomas, which is the current state-of-the-art imaging technique for response assessment at the end of treatment. Additionally, the prognostic value of "interim" (during treatment) or early PET has been well established in Hodgkin lymphoma and diffuse large B-cell lymphoma, which together account for more than 50% of all lymphomas. Worldwide clinical trials are ongoing to evaluate risk-adapted individualized treatment strategy based on interim PET results. Therefore, uniform and evidence-based guidelines for the interpretation are warranted. International Workshop on Interim PET in Lymphoma recently proposed a 5-point score method and so far the results of validation studies are promising. However, one could speculate that the risk of false-positive studies due to a non-specific inflammatory effect will be greater when patients receiving more toxic regimens and the usefulness of imaging biomarkers would vary for different lymphoma subtypes. Meanwhile, thanks to rapid technical development, whole-body functional magnetic resonance imaging (MRI) in particular diffusion-weighted MRI (DWI) reflecting cell density is now feasible in the clinical setting. Quantitative parameters derived from DWI reflecting cell density may provide complementary information to current state-of-the-art FDG-PET imaging reflecting quantitatively glucose metabolism and prove to be helpful in patient management. Pilot studies have shown the potential of whole-body DWI in lymphomas for staging and response assessment on 1.5 Tesla MR system but larger-scaled prospective studies are required before this new imaging-based biomarker can ever be validated for routine clinical use. Besides, technical challenges remain especially when encountering higher-field clinical MR systems. Finally, a vast amount of information generated from whole-body parametric imaging data will require development of automated image analysis software, which may help in establishing a multi-parametric approach in characterizing residual lymphoma masses. Therefore, the present study aims to further optimize a whole-body DWI protocol on 3 Tesla MR and/or new system combining 3Tesla MR and PET, to develop and validate an automated whole-body parametric image analysis algorithm, and to determine the added value of whole-body DWI to FDG-PET for the management of lymphoma patients.
Study Phase N/A
Study Type † Observational
Study Design †
Primary Outcome Measure † apparent diffusion coefficient changes of post-treatment residual lymphoma masses and whether this MR-derived parameter helps in characterizing its viability in addition to PET
Secondary Outcome Measure †
Condition † Hodgkin Lymphoma B-Cell Lymphoma
Intervention †
Study Arms / Comparison Groups
Publications *

* Includes publications given by the data provider as well as publications identified by National Clinical Trials Identifier (NCT ID) in Medline.

Recruitment Information
Recruitment Status †
Estimated Enrollment † 120
Start Date † October 2014
Completion Date June 2018
Primary Completion Date June 2017
Eligibility Criteria † Inclusion Criteria: - Newly diagnosed hodgkin's lymphoma, diffuse large B-cell lymphoma or follicular lymphoma - Patients aged over 18 - Initial presentation of bulky disease Exclusion Criteria: - Patients with impaired central nervous system - Patients regularly taking corticosteroids during the 4 weeks preceding the treatment (unless the dose administered is equivalent to ≤20 mg/day prednisone). - Patients who have undergone major surgery during the 28 days preceding the inclusion - Patients with low kidney and/or liver function - Patients with HIV + - Patients whose life expectancy ≤ 6 months - Patients with other medical problems or psychological susceptibles interfere with the study, - Patients under adult supervision.
Gender All
Ages 18 Years - 80 Years
Accepts Healthy Volunteers No
Contacts †† Romain RR Ricci, +33145178073, romain.ricci@lysarc.org
Location Countries † France
Administrative Information
NCT ID † NCT02300402
Organization ID ADAMANTIUS
Secondary IDs ††
Responsible Party Sponsor
Study Sponsor † The Lymphoma Academic Research Organisation
Collaborators ††
Investigators † Principal Investigator: Alain Rahmouni, Prof., CHU Henri Mondor
Information Provided By
Verification Date March 2017
First Received Date † September 11, 2014
Last Updated Date March 8, 2017
† Required WHO trial registration data element.
†† WHO trial registration data element that is required only if it exists.
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