Introduction: White matter hyperintensity (WMH) is an abnormal T2 signal in the deep and subcortical white matter visualized on MRI associated with hypertension, cerebrovascular disease, and aging. The Fazekas (Fz) scoring system is a commonly used qualitative tool to assess the severity of WMH. While studies have compared Fazekas scores to other scoring methods, the comparison of Fazekas scores and volume of WMH using current semiautomated volumetric techniques has not been studied.
Methods: We reviewed MRI studies acquired at our institution between 2015 and 2017. Relative WMH was scored by one author trained in Fazekas scoring. A board certified neuroradiologist scored them independently for confirmation. Manual segmentations of WMH were completed using 3D Slicer 4.9. A 3D model was formed to quantify WMH in milliliters (mL). ANOVA tests were performed to determine the association of Fazekas scores with corresponding WMH volumes.
Results: Among the 198 patients in our study, WMH were visualized in 163 (Fz1: n=66; Fz2: n=49; Fz3: n=48). WMH volumes significantly differed according to Fazekas score (F = 141.1, p<0.001), with increasing WMHV associated with higher Fazekas scores: Fz1, range 0.1-8.3 mL (mean 3.7, SD 2.3); Fz2, range 6.0-17.7 mL (mean 10.8, SD 3.1); Fz3, range 14.2-77.2 mL (mean 35.2, SD 17.9); and Fz3 (excluding 11 outliers above 50 mL), 14.2-47.0 mL (mean 27.1, SD 8.9).
Conclusion: Fazekas scores correspond with distinct ranges of WMH volume with relatively little overlap, but scores based on volumes are more efficacious. A modified Fazekas from 0-4 should be considered.
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http://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2022.106333 | DOI Listing |
Sci Rep
January 2025
Department of Neurology, Dalian Municipal Central Hospital of Dalian University of Technology, Dalian, 116033, Liaoning, China.
Viruses
November 2024
Institute of Biology, ELTE Eötvös Loránd University, 1117 Budapest, Hungary.
The increasingly widespread application of next-generation sequencing (NGS) in clinical diagnostics and epidemiological research has generated a demand for robust, fast, automated, and user-friendly bioinformatics workflows. To guide the choice of tools for the assembly of full-length viral genomes from NGS datasets, we assessed the performance and applicability of four open-source bioinformatics pipelines (shiver-for which we created a user-friendly Dockerized version, referred to as dshiver; SmaltAlign; viral-ngs; and V-pipe) using both simulated and real-world HIV-1 paired-end short-read datasets and default settings. All four pipelines produced consensus genome assemblies with high quality metrics (genome fraction recovery, mismatch and indel rates, variant calling F1 scores) when the reference sequence used for assembly had high similarity to the analyzed sample.
View Article and Find Full Text PDFSci Rep
December 2024
Bao Feng Key Laboratory of Genetics and Metabolism, Beijing, China.
Many lipid biomarkers of stroke have been identified, but the lipid metabolism in elderly patients with leukoaraiosis remains poorly understood. This study aims to explore lipid metabolic processes in stroke among leukoaraiosis patients, which could provide valuable insights for guiding future antithrombotic therapy. In a cohort of 215 individuals undergoing MRI, 13 stroke patients were matched with controls, and 48 stroke patients with leukoaraiosis were matched with 40 leukoaraiosis patients.
View Article and Find Full Text PDFFront Neurol
December 2024
Neuroscience Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Background: Little is known about the relationship between lipoprotein (a) [Lp(a)] and cerebral white matter hyperintensities (WMH). The aim of the study was to examine if elevated Lp(a) levels are associated with higher burden of WMH.
Methods: We retrospectively investigated associations between Lp(a) and the burden of WMH among patients with confirmed diagnosis of acute ischemic stroke or transient ischemic attacks.
Biol Psychiatry Cogn Neurosci Neuroimaging
December 2024
Department of Clinical Medicine, University of Bergen, Bergen, Norway; Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway.
Background: Electroconvulsive therapy (ECT) is a well-established treatment for severe depression, yet it remains stigmatized due to public perceptions linking it with brain injury. Despite extensive research, the neurobiological mechanisms underlying ECT are not fully elucidated. Recent findings suggest that ECT may work through disrupting depression circuitry.
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