Tract-based white matter hyperintensity patterns in patients with systemic lupus erythematosus using an unsupervised machine learning approach
(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.
(Less)
- author
- organization
-
- MR Physics (research group)
- MultiPark: Multidisciplinary research focused on Parkinson´s disease
- Clinical Memory Research (research group)
- Lund SLE Research Group (research group)
- EpiHealth: Epidemiology for Health
- eSSENCE: The e-Science Collaboration
- Neuroradiology (research group)
- Multidimensional microstructure imaging (research group)
- Lund University Bioimaging Center
- publishing date
- 2022-12-09
- 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
- 2024-09-20 06:54:13
@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}}, }