Composite MRI scores improve correlation with EDSS in multiple sclerosis

Abstract

Background-Quantitative measures derived from MRI have been widely investigated as noninvasive biomarkers in multiple sclerosis (MS). However, the correlation of single measures with Expanded Disability Status Scale (EDSS) is poor, especially for studies with large population samples.

Comparison of susceptibility weighted imaging with conventional MRI sequences in multiple sclerosis plaque assessment

“…[ 18 ] However, using a composition of multiple MRI measures in MS patients improves the mentioned correlation with EDSS and may provide broader understanding of disease process in the patient. [ 19 ] In consistent with these findings, in our study, the number and volume of lesions that were detected in each sequence, in patients with MS for more than 5 years, were higher than corresponding variables in patients for <5 years. It suggests that more severe MS in a patient presents more detectable radiologic characteristics in comparison with mild or moderate disease.…”

Comparison of susceptibility weighted imaging with conventional MRI sequences in multiple sclerosis plaque assessment

“…[ 18 ] However, using a composition of multiple MRI measures in MS patients improves the mentioned correlation with EDSS and may provide broader understanding of disease process in the patient. [ 19 ] In consistent with these findings, in our study, the number and volume of lesions that were detected in each sequence, in patients with MS for more than 5 years, were higher than corresponding variables in patients for <5 years. It suggests that more severe MS in a patient presents more detectable radiologic characteristics in comparison with mild or moderate disease.…”

Composite Biomarkers for Assessing Duchenne Muscular Dystrophy: An Initial Assessment

“…At first, it might seem counterintuitive that the combination can be greater than the sum of the two parts; however, such combinations of values have been used in other neurological disorders, including measures of disease severity in multiple sclerosis and Alzheimer’s disease. 16,20,21 In addition, as shown in our previous study, EIM and GSL only correlate moderately one with another, 13 and thus, likely provide distinct information about DMD pathology. Accordingly, combining the data sets logically might yield a measure with a stronger association with functional measures than either one alone.…”

Non‐lesional white matter in relapsing–remitting multiple sclerosis assessed by multicomponent T2 relaxation

“…The bivariate correlations, including both FL volumes and WM T2‐relaxation parameters, did not improve the significance of individual volumetric measures. Composite scores, including relaxation times of different tissues and/or volumetric measures, could generally correlate more strongly with EDSS than individual measures (Poonawalla et al., 2010 ). However, in another study, combining different WM metrics did not yield a measure more sensitive to damage than any single measure, suggesting that the metrics are at least partially correlated with each other but sensitive to different aspects of the pathology (Lipp et al., 2019 ).…”

Comparison of susceptibility weighted imaging with conventional MRI sequences in multiple sclerosis plaque assessment

“…[ 18 ] However, using a composition of multiple MRI measures in MS patients improves the mentioned correlation with EDSS and may provide broader understanding of disease process in the patient. [ 19 ] In consistent with these findings, in our study, the number and volume of lesions that were detected in each sequence, in patients with MS for more than 5 years, were higher than corresponding variables in patients for <5 years. It suggests that more severe MS in a patient presents more detectable radiologic characteristics in comparison with mild or moderate disease.…”

Composite Biomarkers for Assessing Duchenne Muscular Dystrophy: An Initial Assessment

“…At first, it might seem counterintuitive that the combination can be greater than the sum of the two parts; however, such combinations of values have been used in other neurological disorders, including measures of disease severity in multiple sclerosis and Alzheimer’s disease. 16,20,21 In addition, as shown in our previous study, EIM and GSL only correlate moderately one with another, 13 and thus, likely provide distinct information about DMD pathology. Accordingly, combining the data sets logically might yield a measure with a stronger association with functional measures than either one alone.…”

Non‐lesional white matter in relapsing–remitting multiple sclerosis assessed by multicomponent T2 relaxation

“…The bivariate correlations, including both FL volumes and WM T2‐relaxation parameters, did not improve the significance of individual volumetric measures. Composite scores, including relaxation times of different tissues and/or volumetric measures, could generally correlate more strongly with EDSS than individual measures (Poonawalla et al., 2010 ). However, in another study, combining different WM metrics did not yield a measure more sensitive to damage than any single measure, suggesting that the metrics are at least partially correlated with each other but sensitive to different aspects of the pathology (Lipp et al., 2019 ).…”

Comparison of susceptibility weighted imaging with conventional MRI sequences in multiple sclerosis plaque assessment

“…[ 18 ] However, using a composition of multiple MRI measures in MS patients improves the mentioned correlation with EDSS and may provide broader understanding of disease process in the patient. [ 19 ] In consistent with these findings, in our study, the number and volume of lesions that were detected in each sequence, in patients with MS for more than 5 years, were higher than corresponding variables in patients for <5 years. It suggests that more severe MS in a patient presents more detectable radiologic characteristics in comparison with mild or moderate disease.…”

Composite Biomarkers for Assessing Duchenne Muscular Dystrophy: An Initial Assessment

“…At first, it might seem counterintuitive that the combination can be greater than the sum of the two parts; however, such combinations of values have been used in other neurological disorders, including measures of disease severity in multiple sclerosis and Alzheimer’s disease. 16,20,21 In addition, as shown in our previous study, EIM and GSL only correlate moderately one with another, 13 and thus, likely provide distinct information about DMD pathology. Accordingly, combining the data sets logically might yield a measure with a stronger association with functional measures than either one alone.…”

Non‐lesional white matter in relapsing–remitting multiple sclerosis assessed by multicomponent T2 relaxation

“…The bivariate correlations, including both FL volumes and WM T2‐relaxation parameters, did not improve the significance of individual volumetric measures. Composite scores, including relaxation times of different tissues and/or volumetric measures, could generally correlate more strongly with EDSS than individual measures (Poonawalla et al., 2010 ). However, in another study, combining different WM metrics did not yield a measure more sensitive to damage than any single measure, suggesting that the metrics are at least partially correlated with each other but sensitive to different aspects of the pathology (Lipp et al., 2019 ).…”