Cervical Spinal Cord Lesions and Atrophy versus Brain Measures in Explaining Physical Disability in Multiple Sclerosis

Spinal cord MRI activity in multiple sclerosis: Predictive value for relapses and impact on treatment decisions

INTRODUCTION

Emerging evidence suggests the prognostic value of spinal cord (SC) pathology in multiple sclerosis (MS). However, the 2021 MAGNIMS-CMSC-NAIMS guidelines don't recommend routine SC MRI for disease monitoring. This study investigates the frequency of new asymptomatic and isolated SC lesions, exploring their potential to predict clinical activity and guide treatment decisions.

METHODS

We enrolled relapsing-remitting MS (RRMS) patients who underwent brain and SC MRI at baseline and after 12 months. New, enlarged, or gadolinium-enhanced (Gd+) lesions on MRI were considered disease activity markers. Clinical relapses and treatment changes observed 3 months after the 12-month MRI were analyzed using regression analysis, evaluating their association with worsening SC findings.

RESULTS

A total of 201 RRMS patients (56 males, 27.9%, mean age 42.5 ± 12.1 years, mean EDSS 2.7 ± 1.9) were included. Isolated worsening of T2 lesion burden in the SC occurred in 16 patients (8%), and 12 (6%) had Gd + lesions. Among patients without brain MRI activity (n = 138), regression analysis revealed a significant association between new Gd + SC lesions and clinical relapses within 3 months of the 12-month MRI (p = 0.024). Worsening SC findings (p = 0.021) and SC lesion enhancement (p = 0.046) emerged as key factors influencing disease-modifying therapy changes within 3 months in these patients. Notably, even without clinical symptoms, worsening SC findings significantly predicted treatment changes (p = 0.003).

CONCLUSION

Our findings highlight the independent value of SC MRI findings in MS monitoring. Importantly, isolated and asymptomatic SC worsening significantly impacted treatment decisions.

Towards a more precise rating of neurological disability in multiple sclerosis: A new automatic and linear quantification of limbs function

INTRODUCTION

The Expanded Disability Status Scale (EDSS) is the gold standard for evaluating clinical disability in multiple sclerosis (MS) in daily practice. However, more precise clinical assessment tools are needed. We assessed a new, automated rating of the neurological examination obtained with a mobile application (Quantified Neurological Examination - QNE).

METHOD

Consecutive MS patients were assessed for EDSS score and QNE application that calculates, from the description of the examination, a global score and subscores (qFSS) corresponding to the EDSS functional system scores (FSS). Brain MRI was analysed to obtain automatic measures of brain atrophy.

RESULTS

We performed 200 examinations and included 78 patients in the MRI analysis. The global QNE score was strongly correlated with the EDSS. qFSS was statistically different according to the corresponding FSS for each function, except for the visual FSS. EDSS was predominantly correlated to the pyramidal function of the lower limbs. QNE score and qFSS had at least equivalent correlation to MRI measures than EDSS, particularly regarding the gray matter and cortical volumes.

DISCUSSION

We propose an automated method to rate neurological disability in MS. While QNE strongly correlates with EDSS, it may allow a more precise way to monitor the evolution of disability.

A matter of atrophy: differential impact of brain and spine damage on disability worsening in multiple sclerosis

As atrophy represents the most relevant driver of progression in multiple sclerosis (MS), we investigated the impact of different patterns of brain and spinal cord atrophy on disability worsening in MS. We acquired clinical and MRI data from 90 patients with relapsing–remitting MS and 24 healthy controls (HC). Clinical progression at follow-up (mean 3.7 years) was defined according to the Expanded Disability Status Scale-Plus. Brain and spinal cord volumes were computed on MRI brain scans. After normalizing each participants’ brain and spine volume to the mean of the HC, z-score cut-offs were applied to separate pathologically atrophic from normal brain and spine volumes (accepting a 2.5% error probability). Accordingly, MS patients were classified into four groups (Group I: no brain or spinal cord atrophy N = 40, Group II: brain atrophy/no spinal cord atrophy N = 11, Group III: no brain atrophy/ spinal cord atrophy N = 32, Group IV: both brain and spinal cord atrophy N = 7). All patients’ groups showed significantly lower brain volume than HC (p < 0.0001). Group III and IV showed lower spine volume than HC (p < 0.0001 for both). Higher brain lesion load was identified in Group II (p = 0.049) and Group IV (p = 0.023) vs Group I, and in Group IV (p = 0.048) vs Group III. Spinal cord atrophy (OR = 3.75, p = 0.018) and brain + spinal cord atrophy (OR = 5.71, p = 0.046) were significant predictors of disability progression. The presence of concomitant brain and spinal cord atrophy is the strongest correlate of progression over time. Isolated spinal cord atrophy exerts a similar effect, confirming the leading role of spinal cord atrophy in the determination of motor disability.