Traditional techniques based on diffusion MR imaging suffer from extremely low specificity in separating disease-related alterations in white matter microstructure, which can involve multiple phenomena including axonal loss, demyelination and changes in axonal size. Multi-shell diffusion MRI is able to greatly increase specificity by concomitantly exploring multiple diffusion timescales. If multi-shell acquisition is combined with an exploration of different diffusion times, diffusion data allows the estimation of sophisticated compartmental models, which provide greatly enhanced specificity to the presence of different tissue sub-compartments, as well as estimates of intra-voxel axonal diameter distributions. In this paper, we apply a multiple-b-value, high angular resolution multi-shell diffusion MRI protocol with varying diffusion times to a cohort of multiple sclerosis (MS) patients and compare them to a population of healthy controls. By fitting the AxCaliber model, we are able to extract indices for axonal diameter across the whole brain. We show that MS is associated with widespread increases of axonal diameter and that our axonal diameter estimation provides the highest discrimination power for local alterations in normal-appearing white matter in MS compared to controls. AxCaliber has the potential to disentangle microstructural alterations in MS and holds great promises to become a sensitive and specific non-invasive biomarker of irreversible disease progression.

De Santis, S., Herranz, E., Treaba, C.a., Barletta, V., Mehndiratta, A., Mainero, C., et al. (2019). Whole brain in vivo axonal diameter mapping in multiple sclerosis. In 2019 41st Annual international conference of the IEEE engineering in medicine and biologySociety (EMBC) (pp.204-207). IEEE [10.1109/EMBC.2019.8856433].

Whole brain in vivo axonal diameter mapping in multiple sclerosis

Toschi N.
2019-01-01

Abstract

Traditional techniques based on diffusion MR imaging suffer from extremely low specificity in separating disease-related alterations in white matter microstructure, which can involve multiple phenomena including axonal loss, demyelination and changes in axonal size. Multi-shell diffusion MRI is able to greatly increase specificity by concomitantly exploring multiple diffusion timescales. If multi-shell acquisition is combined with an exploration of different diffusion times, diffusion data allows the estimation of sophisticated compartmental models, which provide greatly enhanced specificity to the presence of different tissue sub-compartments, as well as estimates of intra-voxel axonal diameter distributions. In this paper, we apply a multiple-b-value, high angular resolution multi-shell diffusion MRI protocol with varying diffusion times to a cohort of multiple sclerosis (MS) patients and compare them to a population of healthy controls. By fitting the AxCaliber model, we are able to extract indices for axonal diameter across the whole brain. We show that MS is associated with widespread increases of axonal diameter and that our axonal diameter estimation provides the highest discrimination power for local alterations in normal-appearing white matter in MS compared to controls. AxCaliber has the potential to disentangle microstructural alterations in MS and holds great promises to become a sensitive and specific non-invasive biomarker of irreversible disease progression.
Annual International Conference of the IEEE Engineering in medicine and biology Society (EMBC), 41st
Berlin (Germany)
2019
41.
Rilevanza nazionale
2019
Settore FIS/07 - FISICA APPLICATA (A BENI CULTURALI, AMBIENTALI, BIOLOGIA E MEDICINA)
English
axons; brain; brain mapping; diffusion magnetic resonance imaging; humans; multiple sclerosis
Intervento a convegno
De Santis, S., Herranz, E., Treaba, C.a., Barletta, V., Mehndiratta, A., Mainero, C., et al. (2019). Whole brain in vivo axonal diameter mapping in multiple sclerosis. In 2019 41st Annual international conference of the IEEE engineering in medicine and biologySociety (EMBC) (pp.204-207). IEEE [10.1109/EMBC.2019.8856433].
De Santis, S; Herranz, E; Treaba, Ca; Barletta, V; Mehndiratta, A; Mainero, C; Toschi, N
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/232485
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