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This study investigates the specificity/sensitivity of the combined presence of cortical lesions (CLs)/leuco-cortical lesions (LCLs) and central veins sign (CVs) for multiple sclerosis (MS) diagnosis and differential diagnosis.
CLs and LCLs may be detected at 3 Tesla (T) MRI by using dedicated sequences. 3D Double inversion recovery (DIR), Phase-Sensitive Inversion Recovery (PSIR), Magnetization Prepared - RApid Gradient Echo (MPRAGE) and Magnetization Prepared - 2- RApid Gradient Echo (MP2RAGE) have all shown variable sensitivity to CLs and LCLs. The central vein sign (CVS, i.e. the detection of a central vessel in a focal lesion) has been recently proposed as a biomarker for distinguishing between MS and not and not MS. Both the presence of CL and CVs brings high sensitivity and specificity in distinguishing MS from not MS patients; whether their combination achieves higher sensitivity and specificity to MS diagnosis and differential diagnosis is to date not know. This study investigates the specificity/sensitivity of the combined presence of cortical lesions (CLs)/leuco-cortical lesions (LCLs) and central veins sign (CVs) for multiple sclerosis (MS) diagnosis and differential diagnosis.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Image analysis/ Central vein detection | Other | Image analysis/ Central vein detection will be performed using a fully automated approach based on an ensemble of 3D convolutional neural Networks. The method is applied to T1w, T2w and T2*w data . Results will be manually reviewed by 2 experts in CVs detection. MRI data must have been collected at 3 Tesla (3T) between 1990 and 2020 and must include T1 w, T2 w, T2-star based sequence (CVs detection). | ||
| Image analysis/ Automatic cortical lesion detection | Other | Image analysis/ Automatic cortical lesion detection will be performed by using a convolutional neural network-based method. MRI data must have been collected at 3T between 1990 and 2020 and must include Double inversion recovery (DIR)/Phase-Sensitive Inversion Recovery (PSIR)/Magnetization Prepared - 2- RApid Gradient Echo Gradient Echo (MP2RAGE) (eventually also high spatial resolution Magnetization Prepared - RApid Gradient Echo (MPRAGE)) for cortical lesion detection. |
| Measure | Description | Time Frame |
|---|---|---|
| differentiation between patients with MS and clinically isolated syndrome and patients without MS (specificity) | differentiation between patients with MS and clinically isolated syndrome and patients without MS by analyzing the combination of the presence of CL/LCLs and CVs as compared to the sensitivity/specificity achieved by either CL/LCLs or CVs (sensitivity) | at Baseline |
| differentiation between patients with MS and clinically isolated syndrome and patients without MS ((specificity) | differentiation between patients with MS and clinically isolated syndrome and patients without MS by analyzing the combination of the presence of CL/LCLs and CVs as compared to the sensitivity/specificity achieved by either CL/LCLs or CVs (sensitivity) | at Baseline |
| specificity of the combination of CLs/ LCLs compared to the one of the current diagnostic criteria for MS diagnosis | specificity of the combination of CLs/ LCLs compared to the one of the current diagnostic criteria for MS diagnosis | at Baseline |
| sensitivity of the combination of CLs/ LCLs compared to the one of the current diagnostic criteria for MS diagnosis | sensitivity of the combination of CLs/ LCLs compared to the one of the current diagnostic criteria for MS diagnosis | at Baseline |
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Inclusion Criteria:
Exclusion Criteria:
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MRI and clinical coded data will be collected from some of the European centers that belong to the MAGNIMS consortium (Oxord University, University College London, University Hospital Vall d'Hebron (Barcelona), Verona University) as well as from Basel University hospital. MAGNIMS members and associate centers have a common data-sharing agreement (enclosed).
MAGNIMS is an independent European network of academics that share a common interest in the study of multiple sclerosis (MS) using magnetic resonance imaging (MRI). MRI data must have been collected at 3T between 1990 and 2020.
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| Name | Affiliation | Role |
|---|---|---|
| Cristina Granziera, Prof. | Translational Imaging in Neurology, University Hospital Basel | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Translational Imaging in Neurology, University Hospital Basel | Basel | 4031 | Switzerland |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 36201950 | Result | La Rosa F, Wynen M, Al-Louzi O, Beck ES, Huelnhagen T, Maggi P, Thiran JP, Kober T, Shinohara RT, Sati P, Reich DS, Granziera C, Absinta M, Bach Cuadra M. Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues. Neuroimage Clin. 2022;36:103205. doi: 10.1016/j.nicl.2022.103205. Epub 2022 Sep 24. |
| Label | URL |
|---|---|
| Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues | View source |
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| ID | Term |
|---|---|
| D009103 | Multiple Sclerosis |
| ID | Term |
|---|---|
| D020278 | Demyelinating Autoimmune Diseases, CNS |
| D020274 | Autoimmune Diseases of the Nervous System |
| D009422 | Nervous System Diseases |
| D003711 | Demyelinating Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |
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