About this trial
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 criteria
This trial does not accept healthy volunteersQualifiers
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.
Disqualifiers
Implanted material incompatible with MRI.
Severe claustrophobia.
Pregnant women
Trial design
Single group
Treatments tested in this trial
MRI
DeviceWhole body MRI including ZTE sequences
Treatment groups
Trial outcomes
Primary outcomes
Evaluation of the diagnostic performance of the different imaging protocols
The diagnostic performance of the different imaging protocols will be evaluated by analyzing the receptor efficiency function (ROC curve) and by estimating the Sensitivity (Se), Specificity (Sp), Positive Predictive Value (PPV), Negative Predictive Value (NPV) ) as well as the Predictive Accuracy (Acc) of the different imaging protocols.
Secondary outcomes
Comparison of Sensitivity (Se) and Predictive Precision (Acc) of the different imaging protocols
McNemar test on paired data. The Gold Standard will be determined by a panel of independent experts based on all available imaging techniques.
Sponsors and contacts
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Cliniques universitaires Saint-Luc- Université Catholique de Louvain
Lead sponsor
General Electric
Collaborator