Prognostic-disability Biomarkers in Multiple Sclerosis: Review of the Literature from the Last Five Years

Kıylıoğlu, Nefati

doi:10.4274/tnd.79836

Cited by 3 publications

(1 citation statement)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Different MRI predictors of MS disability which can be easily implemented in clinics have been proposed. [6][7][8][9] To date, these predictors have not been approved to be implemented in clinical practice. Predictors include white matter lesions (WMLs) accumulation 10,11 and linear measurements of brain atrophy.…”

Section: Introductionmentioning

confidence: 99%

Predictors of long-term disability in multiple sclerosis patients using routine magnetic resonance imaging data: A 15-year retrospective study

et al. 2023

View full text Add to dashboard Cite

Introduction Early identification of patients at high risk of progression could help with a personalised treatment strategy. Magnetic resonance imaging (MRI) measures have been proposed to predict long-term disability in multiple sclerosis (MS), but a reliable predictor that can be easily implemented clinically is still needed. Aim Assess MRI measures during the first 5 years of the MS disease course for the ability to predict progression at 10+ years. Methods Eighty-two MS patients (53 females), with ≥10 years of clinical follow-up and having two MRI scans, were included. Clinical data were obtained at baseline, follow-up and at ≥10 years. White matter lesion (WML) counts and volumes, and four linear brain sizes were measured on T2/FLAIR ‘Fluid-Attenuated-Inversion-Recovery’ and T1-weighted images. Results Baseline and follow-up inter-caudate diameter (ICD) and third ventricular width (TVW) measures correlated positively with Expanded Disability Status Scale, ≥10 or more of WMLs showed a high sensitivity in predicting progression, at ≥10 years. A steeper rate of lesion volume increase was observed in subjects converting to secondary progressive MS. The sensitivity and specificity of both ICD and TVW, to predict disability at ≥10 years were 60% and 64%, respectively. Conclusion Despite advances in brain imaging and computerised volumetric analysis, ICD and TVW remain relevant as they are simple, fast and have the potential in predicting long-term disability. However, in this study, despite the statistical significance of these measures, the clinical utility is still not reliable.

show abstract