Beyond Lesion-Load: Tractometry-Based Metrics for Characterizing White Matter Lesions within Fibre Pathways

Maxime Chamberland; Mia Winter; Thomas A.W. Brice; Derek K. Jones; Emma C. Tallantyre

doi:10.1007/978-3-030-73018-5_18

Beyond Lesion-Load: Tractometry-Based Metrics for Characterizing White Matter Lesions within Fibre Pathways

Maxime Chamberland, Mia Winter, Thomas A.W. Brice, Derek K. Jones, Emma C. Tallantyre

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

2 Citaten (Scopus)

Samenvatting

In multiple sclerosis studies, lesion volume (or lesion load) derived from conventional T2 imaging correlates modestly with clinical assessment. Determining which specific white matter pathways are impacted by lesions may provide additional insights regarding task-specific clinical impairment. Using diffusion MRI, we introduce a set of tract-based metrics that go beyond traditional lesion load approaches and show how they relate to task performance (i.e., working memory, information processing and verbal fluency) in a cohort of 40 patients with multiple sclerosis.

Originele taal-2	Engels
Titel	Computational Diffusion MRI - International MICCAI Workshop
Redacteuren	Noemi Gyori, Jana Hutter, Vishwesh Nath, Marco Palombo, Marco Pizzolato, Fan Zhang
Uitgeverij	Springer
Pagina's	227-237
Aantal pagina's	11
ISBN van geprinte versie	9783030730178
DOI's	https://doi.org/10.1007/978-3-030-73018-5_18
Status	Gepubliceerd - 2021
Evenement	International Workshop on Computational Diffusion MRI, CDMRI 2020 held in conjunction with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020 - Virtual, Online Duur: 8 okt. 2020 → 8 okt. 2020

Publicatie series

Naam	Mathematics and Visualization
ISSN van geprinte versie	1612-3786
ISSN van elektronische versie	2197-666X

Congres

Congres	International Workshop on Computational Diffusion MRI, CDMRI 2020 held in conjunction with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020
Stad	Virtual, Online
Periode	8/10/20 → 8/10/20

Bibliografische nota

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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10.1007/978-3-030-73018-5_18

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Chamberland, M., Winter, M., Brice, T. A. W., Jones, D. K., & Tallantyre, E. C. (2021). Beyond Lesion-Load: Tractometry-Based Metrics for Characterizing White Matter Lesions within Fibre Pathways. In N. Gyori, J. Hutter, V. Nath, M. Palombo, M. Pizzolato, & F. Zhang (editors), Computational Diffusion MRI - International MICCAI Workshop (blz. 227-237). (Mathematics and Visualization). Springer. https://doi.org/10.1007/978-3-030-73018-5_18

Chamberland, Maxime ; Winter, Mia ; Brice, Thomas A.W. et al. / Beyond Lesion-Load : Tractometry-Based Metrics for Characterizing White Matter Lesions within Fibre Pathways. Computational Diffusion MRI - International MICCAI Workshop. redacteur / Noemi Gyori ; Jana Hutter ; Vishwesh Nath ; Marco Palombo ; Marco Pizzolato ; Fan Zhang. Springer, 2021. blz. 227-237 (Mathematics and Visualization).

@inproceedings{52f80822849d483f83241ea71404fb1f,

title = "Beyond Lesion-Load: Tractometry-Based Metrics for Characterizing White Matter Lesions within Fibre Pathways",

abstract = "In multiple sclerosis studies, lesion volume (or lesion load) derived from conventional T2 imaging correlates modestly with clinical assessment. Determining which specific white matter pathways are impacted by lesions may provide additional insights regarding task-specific clinical impairment. Using diffusion MRI, we introduce a set of tract-based metrics that go beyond traditional lesion load approaches and show how they relate to task performance (i.e., working memory, information processing and verbal fluency) in a cohort of 40 patients with multiple sclerosis.",

keywords = "Apparent fiber density, Diffusion MRI, Lesion load, Multiple sclerosis, Tractography, Tractometry",

author = "Maxime Chamberland and Mia Winter and Brice, {Thomas A.W.} and Jones, {Derek K.} and Tallantyre, {Emma C.}",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Workshop on Computational Diffusion MRI, CDMRI 2020 held in conjunction with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020 ; Conference date: 08-10-2020 Through 08-10-2020",

year = "2021",

doi = "10.1007/978-3-030-73018-5_18",

language = "English",

isbn = "9783030730178",

series = "Mathematics and Visualization",

publisher = "Springer",

pages = "227--237",

editor = "Noemi Gyori and Jana Hutter and Vishwesh Nath and Marco Palombo and Marco Pizzolato and Fan Zhang",

booktitle = "Computational Diffusion MRI - International MICCAI Workshop",

address = "Germany",

}

Chamberland, M, Winter, M, Brice, TAW, Jones, DK & Tallantyre, EC 2021, Beyond Lesion-Load: Tractometry-Based Metrics for Characterizing White Matter Lesions within Fibre Pathways. in N Gyori, J Hutter, V Nath, M Palombo, M Pizzolato & F Zhang (uitgave), Computational Diffusion MRI - International MICCAI Workshop. Mathematics and Visualization, Springer, blz. 227-237, International Workshop on Computational Diffusion MRI, CDMRI 2020 held in conjunction with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020, Virtual, Online, 8/10/20. https://doi.org/10.1007/978-3-030-73018-5_18

Beyond Lesion-Load: Tractometry-Based Metrics for Characterizing White Matter Lesions within Fibre Pathways. / Chamberland, Maxime; Winter, Mia; Brice, Thomas A.W. et al.
Computational Diffusion MRI - International MICCAI Workshop. uitgave / Noemi Gyori; Jana Hutter; Vishwesh Nath; Marco Palombo; Marco Pizzolato; Fan Zhang. Springer, 2021. blz. 227-237 (Mathematics and Visualization).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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T1 - Beyond Lesion-Load

T2 - International Workshop on Computational Diffusion MRI, CDMRI 2020 held in conjunction with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020

AU - Chamberland, Maxime

AU - Winter, Mia

AU - Brice, Thomas A.W.

AU - Jones, Derek K.

AU - Tallantyre, Emma C.

PY - 2021

Y1 - 2021

N2 - In multiple sclerosis studies, lesion volume (or lesion load) derived from conventional T2 imaging correlates modestly with clinical assessment. Determining which specific white matter pathways are impacted by lesions may provide additional insights regarding task-specific clinical impairment. Using diffusion MRI, we introduce a set of tract-based metrics that go beyond traditional lesion load approaches and show how they relate to task performance (i.e., working memory, information processing and verbal fluency) in a cohort of 40 patients with multiple sclerosis.

AB - In multiple sclerosis studies, lesion volume (or lesion load) derived from conventional T2 imaging correlates modestly with clinical assessment. Determining which specific white matter pathways are impacted by lesions may provide additional insights regarding task-specific clinical impairment. Using diffusion MRI, we introduce a set of tract-based metrics that go beyond traditional lesion load approaches and show how they relate to task performance (i.e., working memory, information processing and verbal fluency) in a cohort of 40 patients with multiple sclerosis.

KW - Apparent fiber density

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KW - Lesion load

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KW - Tractography

KW - Tractometry

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Chamberland M, Winter M, Brice TAW, Jones DK, Tallantyre EC. Beyond Lesion-Load: Tractometry-Based Metrics for Characterizing White Matter Lesions within Fibre Pathways. In Gyori N, Hutter J, Nath V, Palombo M, Pizzolato M, Zhang F, redacteurs, Computational Diffusion MRI - International MICCAI Workshop. Springer. 2021. blz. 227-237. (Mathematics and Visualization). doi: 10.1007/978-3-030-73018-5_18

Beyond Lesion-Load: Tractometry-Based Metrics for Characterizing White Matter Lesions within Fibre Pathways

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