R Zivadinov1,2, N Bergsland3, J R Korn4, M G Dwyer3, N Khan5, J Medin6, J C Price5, B Weinstock-Guttman7, D Silva6. 1. From the Department of Neurology (R.Z., N.B., M.G.D.), Buffalo Neuroimaging Analysis Center rzivadinov@bnac.net. 2. Translational Imaging Center at Clinical and Translational Science Institute (R.Z.), University of Buffalo, State University of New York, Buffalo, New York. 3. From the Department of Neurology (R.Z., N.B., M.G.D.), Buffalo Neuroimaging Analysis Center. 4. QuintilesIMS (J.R.K.), Burlington, Massachusetts. 5. QuintilesIMS (N.K., J.C.P.), Basel, Switzerland. 6. Novartis Pharmaceuticals AG (J.M., D.S.), Basel, Switzerland. 7. Department of Neurology (B.W.-G.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York.
Abstract
BACKGROUND AND PURPOSE: Feasibility of brain atrophy measurement in patients with MS in clinical routine, without prior standardization of the MRI protocol, is unknown. Our aim was to investigate the feasibility of brain atrophy measurement in patients with MS in clinical routine. MATERIALS AND METHODS: Multiple Sclerosis and Clinical Outcome and MR Imaging in the United States (MS-MRIUS) is a multicenter (33 sites), retrospective study that included patients with relapsing-remitting MS who began treatment with fingolimod. Brain MR imaging examinations previously acquired at the baseline and follow-up periods on 1.5T or 3T scanners with no prior standardization were used, to resemble a real-world situation. Brain atrophy outcomes included the percentage brain volume change measured by structural image evaluation with normalization of atrophy on 2D-T1-weighted imaging and 3D-T1WI and the percentage lateral ventricle volume change, measured by VIENA on 2D-T1WI and 3D-T1WI and NeuroSTREAM on T2-fluid-attenuated inversion recovery examinations. RESULTS: A total of 590 patients, followed for 16 months, were included. There were 585 (99.2%) T2-FLAIR, 425 (72%) 2D-T1WI, and 166 (28.2%) 3D-T1WI longitudinal pairs of examinations available. Excluding MR imaging examinations with scanner changes, the analyses were available on 388 (65.8%) patients on T2-FLAIR for the percentage lateral ventricle volume change, 259 and 257 (43.9% and 43.6%, respectively) on 2D-T1WI for the percentage brain volume change and the percentage lateral ventricle volume change, and 110 (18.6%) on 3D-T1WI for the percentage brain volume change and percentage lateral ventricle volume change. The median annualized percentage brain volume change was -0.31% on 2D-T1WI and -0.38% on 3D-T1WI. The median annualized percentage lateral ventricle volume change was 0.95% on 2D-T1WI, 1.47% on 3D-T1WI, and 0.90% on T2-FLAIR. CONCLUSIONS: Brain atrophy was more readily assessed by estimating the percentage lateral ventricle volume change on T2-FLAIR compared with the percentage brain volume change or percentage lateral ventricle volume change using 2D- or 3D-T1WI in this observational retrospective study. Although measurement of the percentage brain volume change on 3D-T1WI remains the criterion standard and should be encouraged in future prospective studies, T2-FLAIR-derived percentage lateral ventricle volume change may be a more feasible surrogate when historical or other practical constraints limit the availability of percentage brain volume change on 3D-T1WI.
BACKGROUND AND PURPOSE: Feasibility of brain atrophy measurement in patients with MS in clinical routine, without prior standardization of the MRI protocol, is unknown. Our aim was to investigate the feasibility of brain atrophy measurement in patients with MS in clinical routine. MATERIALS AND METHODS:Multiple Sclerosis and Clinical Outcome and MR Imaging in the United States (MS-MRIUS) is a multicenter (33 sites), retrospective study that included patients with relapsing-remitting MS who began treatment with fingolimod. Brain MR imaging examinations previously acquired at the baseline and follow-up periods on 1.5T or 3T scanners with no prior standardization were used, to resemble a real-world situation. Brain atrophy outcomes included the percentage brain volume change measured by structural image evaluation with normalization of atrophy on 2D-T1-weighted imaging and 3D-T1WI and the percentage lateral ventricle volume change, measured by VIENA on 2D-T1WI and 3D-T1WI and NeuroSTREAM on T2-fluid-attenuated inversion recovery examinations. RESULTS: A total of 590 patients, followed for 16 months, were included. There were 585 (99.2%) T2-FLAIR, 425 (72%) 2D-T1WI, and 166 (28.2%) 3D-T1WI longitudinal pairs of examinations available. Excluding MR imaging examinations with scanner changes, the analyses were available on 388 (65.8%) patients on T2-FLAIR for the percentage lateral ventricle volume change, 259 and 257 (43.9% and 43.6%, respectively) on 2D-T1WI for the percentage brain volume change and the percentage lateral ventricle volume change, and 110 (18.6%) on 3D-T1WI for the percentage brain volume change and percentage lateral ventricle volume change. The median annualized percentage brain volume change was -0.31% on 2D-T1WI and -0.38% on 3D-T1WI. The median annualized percentage lateral ventricle volume change was 0.95% on 2D-T1WI, 1.47% on 3D-T1WI, and 0.90% on T2-FLAIR. CONCLUSIONS:Brain atrophy was more readily assessed by estimating the percentage lateral ventricle volume change on T2-FLAIR compared with the percentage brain volume change or percentage lateral ventricle volume change using 2D- or 3D-T1WI in this observational retrospective study. Although measurement of the percentage brain volume change on 3D-T1WI remains the criterion standard and should be encouraged in future prospective studies, T2-FLAIR-derived percentage lateral ventricle volume change may be a more feasible surrogate when historical or other practical constraints limit the availability of percentage brain volume change on 3D-T1WI.
Authors: E Ghione; N Bergsland; M G Dwyer; J Hagemeier; D Jakimovski; I Paunkoski; D P Ramasamy; D Silva; E Carl; D Hojnacki; C Kolb; B Weinstock-Guttman; R Zivadinov Journal: AJNR Am J Neuroradiol Date: 2018-11-22 Impact factor: 3.825
Authors: E Ghione; N Bergsland; M G Dwyer; J Hagemeier; D Jakimovski; D P Ramasamy; D Hojnacki; A A Lizarraga; C Kolb; S Eckert; B Weinstock-Guttman; R Zivadinov Journal: AJNR Am J Neuroradiol Date: 2020-08-06 Impact factor: 3.825
Authors: Michael G Dwyer; Jesper Hagemeier; Niels Bergsland; Dana Horakova; Jonathan R Korn; Nasreen Khan; Tomas Uher; Jennie Medin; Diego Silva; Manuela Vaneckova; Eva Kubala Havrdova; Robert Zivadinov Journal: Neuroimage Clin Date: 2018-02-07 Impact factor: 4.881