Meeting Banner
Abstract #3613

Direct Comparison Between Macromolecular Proton Fraction, R1, Magnetization Transfer Ratio, and Lesion Volume as Predictors of Clinical Status in Multiple Sclerosis

Vasily L. Yarnykh1, James D. Bowen2, Alexey A. Samsonov3, Pavle Repovic2, Angeli Mayadev2, Bart P. Keogh2, Beena Gangadharan2, Hunter R. Underhill1, Kenneth R. Maravilla1, Lily K. Jung Henson2

1Radiology, University of Washington, Seattle, WA, United States; 2Swedish Medical Center, Seattle, WA, United States; 3Radiology, University of Wisconsin, Madison, WI, United States

Macromolecular proton fraction (MPF) is a key biophysical parameter determining magnetization transfer (MT) between water and macromolecules in tissues and a promising biomarker of demyelination in multiple sclerosis (MS). In this study, MPF measured in white matter, gray mater, and MS lesions was directly compared to more traditional quantitative MRI parameters, such as MT ratio (MTR), R1, and lesion volume on a population of MS patients. The results demonstrate the superiority of MPF in both discrimination of pathologic brain tissue changes and correlations with disability compared to the above quantitative MRI parameters.

Keywords

acquisition additional adjusted analyses appearing appears approaches appropriate assessed associations attracted audience automated beyond binary biophysical body brain brief capability captured channel classes clinical clinically commonly compute computed consistently constraints continuous controls correlation correlations cost courses coverage described deviation disability discriminate discrimination disease dual duration enables entire established examination example excitation excluded existing expanded fall fast field flair fraction functional gauss glover gray growing highly hunter identify inclusion independent independently industry inhomogeneities integrity last lesion lesions linear macromolecular magnetization male mapping maps masks matte model neurological oxford pathologic patients population potential predict predictive predictor predictors prior procedure promising protocol proton providing published pulse pulsed quantitative radiologists radiology reached reasonable receive reduction regression relapsing reported retained saturation scale scanner sclerosis segmentation segmented separately shape significantly since software source statistical status stepwise strongest subject subjects systems table target targeted tissue tissues traditional transfer utilizes variables volume water weaker weakest weeks white whole years