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Linda Knutsson

Professor

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

Författare

  • Theodor Rumetshofer
  • Francesca Inglese
  • Jeroen de Bresser
  • Peter Mannfolk
  • Olof Strandberg
  • Andreas Jönsen
  • Anders Bengtsson
  • Markus Nilsson
  • Linda Knutsson
  • Jimmy Lätt
  • Gerda M Steup-Beekman
  • Tom W J Huizinga
  • Mark A van Buchem
  • Itamar Ronen
  • Pia C Sundgren

Summary, in English

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.

Avdelning/ar

  • MR Physics
  • MultiPark: Multidisciplinary research focused on Parkinson´s disease
  • Klinisk minnesforskning
  • Lund SLE Research Group
  • EpiHealth: Epidemiology for Health
  • eSSENCE: The e-Science Collaboration
  • Neuroradiologi
  • Multidimensional microstructure imaging
  • Lund University Bioimaging Center

Publiceringsår

2022-12-09

Språk

Engelska

Sidor

1-12

Publikation/Tidskrift/Serie

Scientific Reports

Volym

12

Dokumenttyp

Artikel i tidskrift

Förlag

Nature Publishing Group

Ämne

  • Other Physics Topics
  • Radiology, Nuclear Medicine and Medical Imaging

Status

Published

Forskningsgrupp

  • MR Physics
  • Clinical Memory Research
  • Lund SLE Research Group
  • Neuroradiology
  • Multidimensional microstructure imaging

ISBN/ISSN/Övrigt

  • ISSN: 2045-2322