Multiple Myeloma Clinical Trials

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Evaluation of Optimised Whole-body MRI Examinations Incorporating Pseudo-scanner Sequences (ZTE, Zero Echo Time AND Lava Flex) for the Detection of Bone Lesions in Multiple Myeloma

Status: Recruiting
Location: See location...
Intervention Type: Device
Study Type: Interventional
Study Phase: Not Applicable
SUMMARY

Recent work has confirmed the diagnostic performance of pseudo-CT sequences for detecting osteolytic lesions. Their integration into whole body MRI (WB MRI) could transform the diagnostic approach to MM, by allowing a combined assessment of bone marrow involvement, tissue viability and osteolysis, during a single non-irradiating imaging examination. Since the preliminary work mentioned above, optimizations have been made to the pseudo-CT sequences, including the addition of deep learning (correcting noise in the images) and the correction of chemical shift artifact (linked to the coexistence of hydrated tissue and fatty tissue), which carry real hope of improving their diagnostic potential and accuracy.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:

⁃ Patient with newly diagnosed multiple myeloma, for whom bone imaging is required for staging.

• Recurrent patient after intensive treatment (high dose chemotherapy, bone marrow transplant, etc.).

• Patient requiring a PET / CT considered as the technique of choice in these stages of the disease.

Locations
Other Locations
Belgium
Cliniques universitaires Saint-Luc
RECRUITING
Brussels
Contact Information
Primary
Frédéric Lecouvet
frederic.lecouvet@saintluc.uclouvain.be
+3227642793
Backup
Perrine Triqueneaux
perrine.triqueneaux@saintluc.uclouvain.be
Time Frame
Start Date: 2025-04-22
Estimated Completion Date: 2027-11
Participants
Target number of participants: 45
Treatments
Other: Whole body MRI
There is only one cohort where each patient have the standard of care follow up (PET/CT) and Whole body MRI- ZTE sequence for the study
Sponsors
Leads: Cliniques universitaires Saint-Luc- Université Catholique de Louvain
Collaborators: General Electric

This content was sourced from clinicaltrials.gov