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Tract-based white matter hyperintensity patterns in patients with systemic lupus erythematosus using an unsupervised
Theodor Rumetshofer1, Francesca Inglese2, Jeroen de Bresser2
1Department of Clinical Sciences Lund/Diagnostic Radiology, Lund University, Lund, Sweden. theodor.rumetshofer@med.lu.se.
This study developed an automated method to map white matter hyperintensities (WMH) in Systemic Lupus Erythematosus (SLE) patients. Distinct WMH patterns were identified across specific brain tracts, aiding in understanding disease mechanisms.
Area of Science:
- Neuroimaging
- Neurology
- Medical image analysis
Background:
- White matter hyperintensities (WMH) are common in Systemic Lupus Erythematosus (SLE), but their spatial distribution and clinical significance remain poorly understood.
- Traditional markers like WMH count and volume do not account for the critical location of lesions within specific white matter tracts.
Purpose of the Study:
- To develop and validate a fully automated method for identifying predominant patterns of WMH distribution across white matter tracts in SLE patients.
- To investigate the consistency of these WMH patterns across different SLE subtypes and study sites.
Main Methods:
- Utilized cluster analysis on WMH segmentations from 221 SLE patients (with and without neuropsychiatric symptoms) across 20 white matter tracts.
- Employed automated WMH segmentation and lesion localization techniques.
- Validated findings for consistency across SLE subtypes and geographical sites.
Main Results:
- Identified five distinct clusters of WMH, predominantly affecting the forceps major, forceps minor, anterior thalamic radiations, and inferior fronto-occipital fasciculus.
- Demonstrated consistent tract-based WMH patterns across SLE subtypes and study sites.
- The automated pipeline successfully revealed robust and distinct spatial distributions of WMH.
Conclusions:
- The developed automated method effectively identifies specific white matter tract involvement in SLE patients.
- These tract-based WMH patterns are consistent and may serve as a basis for correlating lesion location with clinical symptoms.
- The approach holds potential for investigating the clinical relevance and pathomechanisms of WMH in SLE and other neurological diseases.
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