Literature DB >> 29856910

Atrophied Brain Lesion Volume: A New Imaging Biomarker in Multiple Sclerosis.

Michael G Dwyer1, Niels Bergsland1, Deepa P Ramasamy1, Dejan Jakimovski1, Bianca Weinstock-Guttman2, Robert Zivadinov3.   

Abstract

BACKGROUND AND
PURPOSE: Lesion accrual in multiple sclerosis (MS) is an important and clinically relevant measure, used extensively as an imaging trial endpoint. However, lesions may also shrink or disappear entirely due to atrophy. Although generally ignored or treated as a nuisance, this phenomenon may actually be an important stand-alone imaging biomarker. Therefore, we investigated the rate of brain lesion loss due to atrophy (atrophied lesion volume) in MS subtypes compared to baseline lesion volume and to new and enlarging lesion volumes, and evaluated the independent predictive value of this phenomenon for clinical disability.
METHODS: A total of 192 patients (18 clinically isolated syndrome, 126 relapsing-remitting MS, and 48 progressive) received 3T magnetic resonance imaging at baseline and 5 years. Lesions were quantified at baseline, and new/enlarging lesion volumes were calculated over the study interval. Atrophied lesion volume was calculated by combining baseline lesion masks with follow-up SIENAX-derived cerebrospinal fluid partial volume maps. Measures were compared between disease subgroups, and correlations with disability change (Expanded Disability Status Scale [EDSS]) were evaluated. Hierarchical regression was employed to determine the unique additive value of atrophied lesion volume.
RESULTS: Atrophied lesion volume was different between MS subtypes (P = .02), and exceeded new lesion volume accumulation in progressive MS (298.1 vs. 75.5 mm3 ). Atrophied lesion volume was the only significant correlate of EDSS change (r = .192 relapsing, r = .317 progressive, P < .05), and explained significant additional variance when controlling for brain atrophy and new/enlarging lesion volume (R2 .092 vs. .045, P = .003).
CONCLUSION: Atrophied lesion volume is a unique and clinically relevant imaging marker in MS, with particular promise in progressive MS.
© 2018 by the American Society of Neuroimaging.

Entities:  

Keywords:  Multiple sclerosis; atrophy; biomarker; lesions

Mesh:

Substances:

Year:  2018        PMID: 29856910     DOI: 10.1111/jon.12527

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  16 in total

1.  Lower total cerebral arterial flow contributes to cognitive performance in multiple sclerosis patients.

Authors:  Dejan Jakimovski; Ralph Hb Benedict; Karen Marr; Sirin Gandhi; Niels Bergsland; Bianca Weinstock-Guttman; Robert Zivadinov
Journal:  Mult Scler       Date:  2019-01-09       Impact factor: 6.312

2.  MRI biomarkers of disease progression in multiple sclerosis: old dog, new tricks?

Authors:  Yael Barnett; Justin Y Garber; Michael H Barnett
Journal:  Quant Imaging Med Surg       Date:  2020-02

3.  Elevated Aortic Pulse Wave Velocity Relates to Longitudinal Gray and White Matter Changes.

Authors:  Corey W Bown; Omair A Khan; Elizabeth E Moore; Dandan Liu; Kimberly R Pechman; Francis E Cambronero; James G Terry; Sangeeta Nair; L Taylor Davis; Katherine A Gifford; Bennett A Landman; Timothy J Hohman; John Jeffrey Carr; Angela L Jefferson
Journal:  Arterioscler Thromb Vasc Biol       Date:  2021-10-28       Impact factor: 8.311

4.  Periventricular gradient of T1 tissue alterations in multiple sclerosis.

Authors:  Manuela Vaneckova; Gian Franco Piredda; Michaela Andelova; Jan Krasensky; Tomas Uher; Barbora Srpova; Eva Kubala Havrdova; Karolina Vodehnalova; Dana Horakova; Tom Hilbert; Bénédicte Maréchal; Mário João Fartaria; Veronica Ravano; Tobias Kober
Journal:  Neuroimage Clin       Date:  2022-04-16       Impact factor: 4.891

5.  7T MRI Differentiates Remyelinated from Demyelinated Multiple Sclerosis Lesions.

Authors:  Hadar Kolb; Martina Absinta; Erin S Beck; Seung-Kwon Ha; Yeajin Song; Gina Norato; Irene Cortese; Pascal Sati; Govind Nair; Daniel S Reich
Journal:  Ann Neurol       Date:  2021-09-02       Impact factor: 11.274

6.  Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets.

Authors:  Reuben Dorent; Thomas Booth; Wenqi Li; Carole H Sudre; Sina Kafiabadi; Jorge Cardoso; Sebastien Ourselin; Tom Vercauteren
Journal:  Med Image Anal       Date:  2020-10-09       Impact factor: 8.545

7.  Atrophied Brain T2 Lesion Volume at MRI Is Associated with Disability Progression and Conversion to Secondary Progressive Multiple Sclerosis.

Authors:  Antonia Valentina Genovese; Jesper Hagemeier; Niels Bergsland; Dejan Jakimovski; Michael G Dwyer; Deepa P Ramasamy; Alexis A Lizarraga; David Hojnacki; Channa Kolb; Bianca Weinstock-Guttman; Robert Zivadinov
Journal:  Radiology       Date:  2019-09-24       Impact factor: 11.105

8.  Long-standing multiple sclerosis neurodegeneration: volumetric magnetic resonance imaging comparison to Parkinson's disease, mild cognitive impairment, Alzheimer's disease, and elderly healthy controls.

Authors:  Dejan Jakimovski; Niels Bergsland; Michael G Dwyer; Jesper Hagemeier; Deepa P Ramasamy; Kinga Szigeti; Thomas Guttuso; David Lichter; David Hojnacki; Bianca Weinstock-Guttman; Ralph H B Benedict; Robert Zivadinov
Journal:  Neurobiol Aging       Date:  2020-02-08       Impact factor: 4.673

Review 9.  Epidemiology and treatment of multiple sclerosis in elderly populations.

Authors:  Caila B Vaughn; Dejan Jakimovski; Katelyn S Kavak; Murali Ramanathan; Ralph H B Benedict; Robert Zivadinov; Bianca Weinstock-Guttman
Journal:  Nat Rev Neurol       Date:  2019-06       Impact factor: 42.937

10.  Contribution of white matter hyperintensities to ventricular enlargement in older adults.

Authors:  Angela C C Jochems; Susana Muñoz Maniega; Maria Del C Valdés Hernández; Gayle Barclay; Devasuda Anblagan; Lucia Ballerini; Rozanna Meijboom; Stewart Wiseman; Adele M Taylor; Janie Corley; Francesca M Chappell; Ellen V Backhouse; Michael S Stringer; David Alexander Dickie; Mark E Bastin; Ian J Deary; Simon R Cox; Joanna M Wardlaw
Journal:  Neuroimage Clin       Date:  2022-04-26       Impact factor: 4.891

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