» Articles » PMID: 31130911

Thalamic Atrophy Without Whole Brain Atrophy Is Associated With Absence of 2-Year NEDA in Multiple Sclerosis

Overview
Journal Front Neurol
Specialty Neurology
Date 2019 May 28
PMID 31130911
Citations 16
Authors
Affiliations
Soon will be listed here.
Abstract

To study which brain volume measures best differentiate early relapsing MS (RMS) and secondary progressive MS (SPMS) patients and correlate with disability and cognition. To test whether isolated thalamic atrophy at study baseline correlates with NEDA (no evidence of disease activity) at 2 years. Total and regional brain volumes were measured from 24 newly diagnosed RMS patients 6 months after initiation of therapy and 2 years thereafter, and in 36 SPMS patients. Volumes were measured by SIENAX and cNeuro. The patients were divided into subgroups based on whole brain parenchyma (BP) and thalamic atrophy at baseline. Standard scores (-scores) were computed by comparing individual brain volumes against healthy controls. A -score cut-off of -1.96 was applied to separate atrophic from normal brain volumes. The Expanded Disability Status Scale (EDSS) and Symbol Digit Modalities Test (SDMT) were assessed at baseline and at 2 years. Differences in achieving NEDA-3, NEDA-4, EDSS progression, and SDMT change were analyzed between patients with no thalamic or BP atrophy and in patients with isolated thalamic atrophy at baseline. At baseline, 7 SPMS and 12 RMS patients had no brain atrophy, 8 SPMS and 10 RMS patients had isolated thalamic atrophy and 2 RMS and 20 SPMS patients had both BP and thalamic atrophy. NEDA-3 was reached in 11/19 patients with no brain atrophy but only in 2/16 patients with isolated thalamic atrophy ( = 0.012). NEDA-4 was reached in 7/19 patients with no brain atrophy and in 1/16 of the patients with isolated thalamic atrophy ( = 0.047). At 2 years, EDSS was same or better in 16/19 patients with no brain atrophy but only in 5/17 patients with isolated thalamic atrophy ( = 0.002). There was no significant difference in the EDSS, relapses or SDMT between patients with isolated thalamic atrophy and no atrophy at baseline. Patients with isolated thalamic atrophy were at a higher risk for not reaching 2-year NEDA-3 and for EDSS increase than patients with no identified brain atrophy. The groups were clinically indistinguishable. A single measurement of thalamic and whole brain atrophy could help identify patients needing most effective therapies from early on.

Citing Articles

Patients with relapsing-remitting multiple sclerosis show accelerated whole brain volume and thalamic volume loss early in disease.

Opfer R, Schwab M, Bangoura S, Biswas M, Kruger J, Spies L Neuroradiology. 2024; 67(1):99-107.

PMID: 39607558 DOI: 10.1007/s00234-024-03516-7.


Assessing disease progression and treatment response in progressive multiple sclerosis.

Comi G, Dalla Costa G, Stankoff B, Hartung H, Soelberg Sorensen P, Vermersch P Nat Rev Neurol. 2024; 20(10):573-586.

PMID: 39251843 DOI: 10.1038/s41582-024-01006-1.


Automated magnetic resonance imaging quantification of cerebral parenchymal and ventricular volume following subarachnoid hemorrhage: associations with cognition.

Jorna L, Khosdelazad S, Klos J, Rakers S, van der Hoorn A, Potze J Brain Imaging Behav. 2024; 18(2):421-429.

PMID: 38294581 PMC: 10830824. DOI: 10.1007/s11682-024-00855-0.


Neurodegeneration and its potential markers in the diagnosing of secondary progressive multiple sclerosis. A review.

Pogoda-Wesolowska A, Dziedzic A, Maciak K, Stpien A, Dziaduch M, Saluk J Front Mol Neurosci. 2023; 16:1210091.

PMID: 37781097 PMC: 10535108. DOI: 10.3389/fnmol.2023.1210091.


Recent Progress in the Identification of Early Transition Biomarkers from Relapsing-Remitting to Progressive Multiple Sclerosis.

Maier S, Barcutean L, Andone S, Manu D, Sarmasan E, Bajko Z Int J Mol Sci. 2023; 24(5).

PMID: 36901807 PMC: 10002756. DOI: 10.3390/ijms24054375.


References
1.
Smith S, Zhang Y, Jenkinson M, Chen J, Matthews P, Federico A . Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage. 2002; 17(1):479-89. DOI: 10.1006/nimg.2002.1040. View

2.
Smith S, Jenkinson M, Woolrich M, Beckmann C, Behrens T, Johansen-Berg H . Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage. 2004; 23 Suppl 1:S208-19. DOI: 10.1016/j.neuroimage.2004.07.051. View

3.
Enzinger C, Fazekas F, Matthews P, Ropele S, Schmidt H, Smith S . Risk factors for progression of brain atrophy in aging: six-year follow-up of normal subjects. Neurology. 2005; 64(10):1704-11. DOI: 10.1212/01.WNL.0000161871.83614.BB. View

4.
Marcus D, Wang T, Parker J, Csernansky J, Morris J, Buckner R . Open Access Series of Imaging Studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults. J Cogn Neurosci. 2007; 19(9):1498-507. DOI: 10.1162/jocn.2007.19.9.1498. View

5.
Fisher E, Lee J, Nakamura K, Rudick R . Gray matter atrophy in multiple sclerosis: a longitudinal study. Ann Neurol. 2008; 64(3):255-65. DOI: 10.1002/ana.21436. View