Resources
Selected Publications
A Multicenter Longitudinal MRI Study Assessing LeMan-PV Software Accuracy in the Detection of White Matter Lesions in Multiple Sclerosis Patients
Todea et al., J Magn Reson Imaging, 2023
Serum neurofilament light chain reference database for individual application in paediatric care: a retrospective modelling and validation study
Abdelhak et al., Lancet Neurology, 2023
Serum Glial Fibrillary Acidic Protein Compared With Neurofilament Light Chain as a Biomarker for Disease Progression in Multiple Sclerosis
Meier et al., Jama Neurol, 2023
Serum neurofilament light chain for individual prognostication of disease activity in people with multiple sclerosis: a retrospective modelling and validation study
Benkert et al., Lancet Neurology, 2022
Association of Brain Atrophy With Disease Progression Independent of Relapse Activity in Patients With Relapsing Multiple Sclerosis
Cagol et al., Jama Neurol, 2022
A New Advanced MRI Biomarker for Remyelinated Lesions in Multiple Sclerosis
Rahmanzadeh et al., Annals of Neurology, 2022
Intrathecal IgM Synthesis Is Associated with Spinal Cord Manifestation and Neuronal Injury in Early MS
Oechtering et al., Annals of Neurology, 2022
Intrathecal Immunoglobulin M Synthesis is an Independent Biomarker for Higher Disease Activity and Severity in Multiple Sclerosis
Oechtering et al., Annals of Neurology, 2021
Chronic White Matter Inflammation and Serum Neurofilament Levels in Multiple Sclerosis
Maggi et al., Neurology, 2021
Serum Neurofilament light: A biomarker of neuronal damage in multiple sclerosis
Disanto et al., Annals of Neurology, 2017
The Swiss Multiple Sclerosis Cohort-Study (SMSC): A Prospective Swiss Wide Investigation of Key Phases in Disease Evolution and New Treatment Options
Disanto et al., Plos One, 2016
Applications
- Serum Neurofilament Light Chain Reference App
- Serum neurofilament light chain reference app (pediatric)
- SMSC variable list (metadata):
With the support of the Swiss Personalized Health Network (SPHN), the entire list of variables collected in the SMSC is made publicly on the internationally renowned metadata catalogue Maelstrom, thereby increasing findability and usability of the data:
https://www.maelstrom-research.org/study/smsc