Mapping brain volume change across time in primary-progressive multiple sclerosis

Purpose Detection and prediction of the rate of brain volume loss with age is a significant unmet need in patients with primary progressive multiple sclerosis (PPMS). In this study we construct detailed brain volume maps for PPMS patients. These maps compare age-related changes in both cortical and...

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Vydáno v:Neuroradiology Ročník 66; číslo 7; s. 1189 - 1197
Hlavní autoři: Warszawer, Yehuda, Gurevich, Michael, Kerpel, Ariel, Dreyer Alster, Sapir, Nissan, Yael, Shirbint, Emanuel, Hoffmann, Chen, Achiron, Anat
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2024
Springer Nature B.V
Témata:
Adult
Advanced Neuroimaging
Age
Aged
Aged, 80 and over
Autoimmune diseases
Brain
Brain - diagnostic imaging
Brain - pathology
Brain mapping
Brain Mapping - methods
Cerebellum
Disease Progression
Female
Gender
Humans
Imaging
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Medicine
Medicine & Public Health
Middle Aged
Multiple sclerosis
Multiple Sclerosis, Chronic Progressive - diagnostic imaging
Multiple Sclerosis, Chronic Progressive - pathology
Neuroimaging
Neurology
Neuroradiology
Neurosciences
Neurosurgery
Organ Size
Parenchyma
Radiology
Retrospective Studies
Risk groups
Substantia alba
Substantia grisea
Thalamus
Brain volume
Healthy subjects
Multiple sclerosis
MRI
Primary-progressive
ISSN:0028-3940, 1432-1920, 1432-1920
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Shrnutí:Purpose Detection and prediction of the rate of brain volume loss with age is a significant unmet need in patients with primary progressive multiple sclerosis (PPMS). In this study we construct detailed brain volume maps for PPMS patients. These maps compare age-related changes in both cortical and sub-cortical regions with those in healthy individuals. Methods We conducted retrospective analyses of brain volume using T1-weighted Magnetic Resonance Imaging (MRI) scans of a large cohort of PPMS patients and healthy subjects. The volume of brain parenchyma (BP), cortex, white matter (WM), deep gray matter, thalamus, and cerebellum were measured using the robust SynthSeg segmentation tool. Age- and gender-related regression curves were constructed based on data from healthy subjects, with the 95% prediction interval adopted as the normality threshold for each brain region. Results We analyzed 495 MRI scans from 169 PPMS patients, aged 20–79 years, alongside 563 exams from healthy subjects aged 20–86. Compared to healthy subjects, a higher proportion of PPMS patients showed lower than expected brain volumes in all regions except the cerebellum. The most affected areas were BP, WM, and thalamus. Lower brain volumes correlated with longer disease duration for BP and WM, and higher disability for BP, WM, cortex, and thalamus. Conclusions Constructing age- and gender-related brain volume maps enabled identifying PPMS patients at a higher risk of brain volume loss. Monitoring these high-risk patients may lead to better treatment decisions and improve patient outcomes.
Bibliografie:ObjectType-Article-1
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ISSN:0028-3940
1432-1920
1432-1920
DOI:10.1007/s00234-024-03354-7