Affiliation:
1. Praxis Neurologie in Meerbusch Meerbusch Germany
2. Sauerlandklinik Hachen Sundern Germany
3. Clinical Research Neuroscience Novartis Pharma GmbH Nuremberg Germany
4. St. Josefs‐Krankenhaus Potsdam‐Sanssouci Potsdam Germany
5. Medizinische Hochschule Brandenburg Theodor Fontane Neuruppin Germany
Abstract
AbstractBackgroundThe revised Lublin classification offers a framework for categorizing multiple sclerosis (MS) according to the clinical course and imaging results. Diagnosis of secondary progressive MS (SPMS) is often delayed by a period of uncertainty. Several quantitative magnetic resonance imaging (qMRI) markers are associated with progressive disease states, but they are not usually available in clinical practice.MethodsThe MAGNON project enrolled 629 patients (early relapsing‐remitting MS (RRMS), n = 51; RRMS with suspected SPMS, n = 386; SPMS, n = 192) at 55 centers in Germany. Routine magnetic resonance imaging (MRI) scans at baseline and after 12 months were analyzed using a centralized automatic processing pipeline to quantify lesions and normalized brain and thalamic volume. Clinical measures included relapse activity, disability, and MS phenotyping. Neurologists completed questionnaires before and after receiving the qMRI reports.ResultsAccording to the physicians’ reports, qMRI results changed their assessment of the patient in 31.8% (baseline scan) and 27.6% (follow‐up scan). For ∼50% of patients with RRMS with suspected SPMS, reports provided additional information that the patient was transitioning to SPMS. In >25% of all patients, this information influenced the physicians’ assessment of the patient's current phenotype. However, actual changes of treatment were reported only in a minority of these patients.ConclusionsThe MAGNON results suggest that standardized qMRI reports may be integrated into the routine clinical care of MS patients and support the application of the Lublin classification as well as treatment decisions. The highest impact was reported in patients with suspected SPMS, indicating a potential to reduce diagnostic uncertainty.