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Tract-based white matter hyperintensity patterns in patients with systemic lupus erythematosus using an unsupervised machine learning approach

Rumetshofer, Theodor LU orcid ; Inglese, Francesca ; de Bresser, Jeroen ; Mannfolk, Peter LU ; Strandberg, Olof LU ; Jönsen, Andreas LU ; Bengtsson, Anders LU ; Nilsson, Markus LU ; Knutsson, Linda LU orcid and Lätt, Jimmy LU , et al. (2022) In Scientific Reports 12. p.1-12
Abstract

Currently, little is known about the spatial distribution of white matter hyperintensities (WMH) in the brain of patients with Systemic Lupus erythematosus (SLE). Previous lesion markers, such as number and volume, ignore the strategic location of WMH. The goal of this work was to develop a fully-automated method to identify predominant patterns of WMH across WM tracts based on cluster analysis. A total of 221 SLE patients with and without neuropsychiatric symptoms from two different sites were included in this study. WMH segmentations and lesion locations were acquired automatically. Cluster analysis was performed on the WMH distribution in 20 WM tracts. Our pipeline identified five distinct clusters with predominant involvement of the... (More)

Currently, little is known about the spatial distribution of white matter hyperintensities (WMH) in the brain of patients with Systemic Lupus erythematosus (SLE). Previous lesion markers, such as number and volume, ignore the strategic location of WMH. The goal of this work was to develop a fully-automated method to identify predominant patterns of WMH across WM tracts based on cluster analysis. A total of 221 SLE patients with and without neuropsychiatric symptoms from two different sites were included in this study. WMH segmentations and lesion locations were acquired automatically. Cluster analysis was performed on the WMH distribution in 20 WM tracts. Our pipeline identified five distinct clusters with predominant involvement of the forceps major, forceps minor, as well as right and left anterior thalamic radiations and the right inferior fronto-occipital fasciculus. The patterns of the affected WM tracts were consistent over the SLE subtypes and sites. Our approach revealed distinct and robust tract-based WMH patterns within SLE patients. This method could provide a basis, to link the location of WMH with clinical symptoms. Furthermore, it could be used for other diseases characterized by presence of WMH to investigate both the clinical relevance of WMH and underlying pathomechanism in the brain.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Scientific Reports
volume
12
article number
21376
pages
1 - 12
publisher
Nature Publishing Group
external identifiers
  • pmid:36494508
  • scopus:85143662528
ISSN
2045-2322
DOI
10.1038/s41598-022-25990-w
language
English
LU publication?
yes
additional info
© 2022. The Author(s).
id
691f51e1-f7a8-4aeb-9b22-ba3af6550884
date added to LUP
2022-12-13 22:08:14
date last changed
2025-06-14 07:58:47
@article{691f51e1-f7a8-4aeb-9b22-ba3af6550884,
  abstract     = {{<p>Currently, little is known about the spatial distribution of white matter hyperintensities (WMH) in the brain of patients with Systemic Lupus erythematosus (SLE). Previous lesion markers, such as number and volume, ignore the strategic location of WMH. The goal of this work was to develop a fully-automated method to identify predominant patterns of WMH across WM tracts based on cluster analysis. A total of 221 SLE patients with and without neuropsychiatric symptoms from two different sites were included in this study. WMH segmentations and lesion locations were acquired automatically. Cluster analysis was performed on the WMH distribution in 20 WM tracts. Our pipeline identified five distinct clusters with predominant involvement of the forceps major, forceps minor, as well as right and left anterior thalamic radiations and the right inferior fronto-occipital fasciculus. The patterns of the affected WM tracts were consistent over the SLE subtypes and sites. Our approach revealed distinct and robust tract-based WMH patterns within SLE patients. This method could provide a basis, to link the location of WMH with clinical symptoms. Furthermore, it could be used for other diseases characterized by presence of WMH to investigate both the clinical relevance of WMH and underlying pathomechanism in the brain.</p>}},
  author       = {{Rumetshofer, Theodor and Inglese, Francesca and de Bresser, Jeroen and Mannfolk, Peter and Strandberg, Olof and Jönsen, Andreas and Bengtsson, Anders and Nilsson, Markus and Knutsson, Linda and Lätt, Jimmy and Steup-Beekman, Gerda M and Huizinga, Tom W J and van Buchem, Mark A and Ronen, Itamar and Sundgren, Pia C}},
  issn         = {{2045-2322}},
  language     = {{eng}},
  month        = {{12}},
  pages        = {{1--12}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Scientific Reports}},
  title        = {{Tract-based white matter hyperintensity patterns in patients with systemic lupus erythematosus using an unsupervised machine learning approach}},
  url          = {{http://dx.doi.org/10.1038/s41598-022-25990-w}},
  doi          = {{10.1038/s41598-022-25990-w}},
  volume       = {{12}},
  year         = {{2022}},
}