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New Technique Accurately Estimates MS Lesion Size

Am J Neuroradiol; ePub 2018 Feb 22; Dworkin, Linn, et al

A novel technique for counting pathologically distinct multiple sclerosis (MS) lesions using cross-sectional data demonstrates its ability in a recent study to recover obscured longitudinal information. Therefore, the proposed count allows more accurate estimation of lesion size, which correlated more closely with disability scores than either lesion load or lesion count alone. MR imaging was used to assess the probability of a lesion at each location. The texture of this map was quantified using a novel technique, and clusters resembling the center of a lesion were counted. Validity compared with a criterion standard count was demonstrated in 60 subjects observed longitudinally, and reliability was determined using 14 scans of a clinically stable subject acquired at 7 sites. Investigators found:

  • The proposed count and the criterion standard count were highly correlated and not significantly different, and the variability of the proposed count across repeat scans was equivalent to that of lesion load.
  • After accounting for lesion load and age, lesion count was negatively associated with the Expanded Disability Status Scale.

Citation:

Dworkin JD, Linn KA, Oguz I, et al. An automated statistical technique for counting distinct multiple sclerosis lesions. [Published online ahead of print February 22, 2018]. Am J Neuroradiol. doi:10.3174/ajnr.A5556.

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Must Reads in Multiple Sclerosis

MS Risk Factors Contribute to Onset Heterogeneity, Mult Scler Relat Disord; ePub 2018 Dec 3; Briggs, et al

Severe Fatigue in MS Predicts EDSS Worsening, Mult Scler; ePub 2018 Dec 3; Vaughn, et al

Cerebrospinal Fluid Biomarkers and MS Severity, Mult Scler Relat Disord; ePub 2018 Dec 5; Masvekar, et al

Research-to-Practice Gaps in Multiple Sclerosis, Int J MS Care; ePub 2018 Nov 27; Walker, et al

Head Trauma, Autoimmune Diseases: No Link with MS , Neuroepidemiol; ePub 2018 Nov 26; Abdollahpour, et al