A New Rating Scale for Age-Related White Matter Changes Applicable to MRI and CT

By L. Wahlund, Frederik Barkhof, F. Fazekas, L. Bronge, M. Augustin, M. Sjögren, A. Wallin, H. Adèr, D. Leys, Leonardo Pantoni and 3 more. Stroke, 2001

1,779 citations recorded by the source corpus.

Subfields: Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/f1d97d6f22e2e129e2fd1fa3583012257ca99266

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In Psychiatry and Mental health

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Rationale, design and methodology of the image analysis protocol for studies of patients with cerebral small vessel disease and mild stroke (2015, methodology): “WMH are rated using Fazekas (Fazekas et al. 1988) and Wahlund (Wahlund et al. 2001) visual rating scores.”
Spontaneous brain microbleeds: systematic review, subgroup analyses and standards for study design and reporting. (2007, result): “, 1993), the Wahlund scale in two studies (Wahlund et al., 2001), a personal scale in one other study and two studies used semi-automated measurements (Jeerakathil et al.”
BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities (2016, methodology): “For both datasets WMHs were graded on FLAIR images by a trained operator (L.L.) who provided visual ratings according to the following scales: 1) a modi ﬁ ed version of the Fazekas scale (Fazekas et al., 1987), considering periventricular and deep white matter lesions altogether (range total score 0”
Post-stroke dementia – a comprehensive review (2017, background): “Such neuroimaging characteristics may help predict subsequent cognitive impairment [67, 68].”
Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease (2010, methodology): “The rating scale ranges from 0 (no lesions) to a maximum score of 3 (con ﬂ uent lesions) (Wahlund et al., 2001).”
Association of brain amyloidosis with pro-inflammatory gut bacterial taxa and peripheral inflammation markers in cognitively impaired elderly. (2017, methodology): “…disease were assessed with validated and largely used visual rating tools (the Medial Temporal Atrophy – MTA (Scheltens et al., 1993) and the Age-Related White Matter Changes – ARWMC – scales (Wahlund et al., 2001), ranging from 0 to 4 and 0 to 30 respectively, where 0 means no abnormal changes.”
Age-related differences in white matter microstructure: Region-specific patterns of diffusivity (2010, methodology): “Assessment of white matter hyperintensity (WMH) burden A.Z.B. evaluated the presence of age-related WMHs on FLAIR images using the rating scale described by Wahlund et al. (2001).”