Cross-sectional multiparametric subtyping of multiple sclerosis lesions informs on their longitudinal evolution

Motivation: In multiple sclerosis, slowly expanding lesions have been suggested as a hallmark of a steadily worsening disease course. However, identifying these lesions is challenging, as their growth rates are at the detection limit of today's processing algorithms or MRI data must be available over a long period of time. Goal(s): To identify and characterise slowly expanding lesions in cross-sectional data. Approach: We compared changes in quantitative T1, T2 and T2/T1-ratio inside lesions and in perilesional tissue for enlarging/stable/shrinking/new lesion phenotypes. Results: Z-scores of multiparametric quantitative maps carry discriminative information to classify lesion evolution from single time point data. Impact: Our findings suggest that quantitative multiparametric analyses allow a better in vivo characterisation of microstructural tissue pathology in multiple sclerosis; this furthers the understanding of different lesion evolutions and might enable to already distinguish them from cross-sectional data.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/2964
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
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article

Cross-sectional multiparametric subtyping of multiple sclerosis lesions informs on their longitudinal evolution

Veronica Ravano, Tom Hilbert, Dana Horáková, Tomáš Uher et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Gene expression and cancer classification
article

Cross-sectional multiparametric subtyping of multiple sclerosis lesions informs on their longitudinal evolution

Veronica Ravano, Tom Hilbert, Dana Horáková, Tomáš Uher, Ricardo Corredor‐Jerez, Jonathan A. Disselhorst, Jonas Richiardi, Michaela Andělová, Bénédicte Maréchal, Gian Franco Piredda, Samuele Caneschi, Stefan Sommer, Jean‐Philippe Thiran, Tobias Kober, Matej Kudrna, Manuela Vaněčková, Lucia Roccaro, Jan Krasenky
article en

Abstract

Motivation: In multiple sclerosis, slowly expanding lesions have been suggested as a hallmark of a steadily worsening disease course. However, identifying these lesions is challenging, as their growth rates are at the detection limit of today's processing algorithms or MRI data must be available over a long period of time. Goal(s): To identify and characterise slowly expanding lesions in cross-sectional data. Approach: We compared changes in quantitative T1, T2 and T2/T1-ratio inside lesions and in perilesional tissue for enlarging/stable/shrinking/new lesion phenotypes. Results: Z-scores of multiparametric quantitative maps carry discriminative information to classify lesion evolution from single time point data. Impact: Our findings suggest that quantitative multiparametric analyses allow a better in vivo characterisation of microstructural tissue pathology in multiple sclerosis; this furthers the understanding of different lesion evolutions and might enable to already distinguish them from cross-sectional data.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Reduced inequalities
Openalex Percentile: Top 81%
Gene expression and cancer classification
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