PMID- 23075702
OWN - NLM
STAT- MEDLINE
DCOM- 20131017
LR  - 20220129
IS  - 1423-0208 (Electronic)
IS  - 0251-5350 (Linking)
VI  - 40
IP  - 1
DP  - 2013
TI  - Close correlation between quantitative and qualitative assessments of white 
      matter lesions.
PG  - 13-22
LID - 10.1159/000341859 [doi]
AB  - BACKGROUND: White matter lesions (WML) increase with age and are associated with 
      stroke, cognitive decline and dementia. They can be visually rated or 
      computationally assessed. METHODS: We compared WML Fazekas visual rating scores 
      and volumes, determined using a validated multispectral image-fusion technique, 
      in Magnetic Resonance Imaging from 672 participants of the Lothian Birth Cohort 
      1936 and sought explanations for subjects in whom the correlation (Spearman's rho) 
      between the total Fazekas score (summed deep and periventricular ratings, 0-6) 
      and WML volume did not concur (z-score difference >1). Infarcts were identified 
      separately. RESULTS: The median WML Fazekas score was 2 [inter-quartile range 
      (IQR): 2], median WML volume 7.7 ml (IQR: 13.6 ml) and median infarct volume (n = 
      95) 0.98 ml. Score and volume were highly correlated (Spearman's rho = 0.78, p < 
      0.001). Infarcts did not alter the correlation. Minor discordance occurred in 
      94/672 (14%) subjects, most with total Fazekas score of 1 (n = 20, WML volume = 
      4.5-14.8 ml) or 2 (n = 50, WML volume = 0.1-34.4 ml). The main reasons were: 
      subtle WML identified visually but omitted from the volume; prominent ventricular 
      caps but thin body lining giving a periventricular score of 1/2 but large WML 
      volume, and small deep focal lesions which increase the score disproportionally 
      when beginning to coalesce with little change in WML volume. CONCLUSIONS: WML 
      rating scores and volumes provide near-equivalent estimates of WML burden, 
      therefore either can be used depending on research circumstances. Even closer 
      agreement could result from improved computational detection of subtle WML and 
      modified visual ratings to differentiate prominent ventricular caps from thin 
      periventricular linings, and small non-coalescent from early coalescent deep WML.
CI  - Copyright (c) 2012 S. Karger AG, Basel.
FAU - Valdes Hernandez, Maria del C
AU  - Valdes Hernandez Mdel C
AD  - Brain Research Imaging Centre, Department of Clinical Neurosciences, University 
      of Edinburgh, Edinburgh, UK. mvhernan@staffmail.ed.ac.uk
FAU - Morris, Zoe
AU  - Morris Z
FAU - Dickie, David Alexander
AU  - Dickie DA
FAU - Royle, Natalie A
AU  - Royle NA
FAU - Munoz Maniega, Susana
AU  - Munoz Maniega S
FAU - Aribisala, Benjamin S
AU  - Aribisala BS
FAU - Bastin, Mark E
AU  - Bastin ME
FAU - Deary, Ian J
AU  - Deary IJ
FAU - Wardlaw, Joanna M
AU  - Wardlaw JM
LA  - eng
GR  - BB_/Biotechnology and Biological Sciences Research Council/United Kingdom
GR  - G0700704/MRC_/Medical Research Council/United Kingdom
GR  - G1001245/MRC_/Medical Research Council/United Kingdom
GR  - G0701120/MRC_/Medical Research Council/United Kingdom
GR  - MR/K026992/1/MRC_/Medical Research Council/United Kingdom
PT  - Evaluation Study
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20121011
PL  - Switzerland
TA  - Neuroepidemiology
JT  - Neuroepidemiology
JID - 8218700
SB  - IM
MH  - Aged
MH  - Cerebral Infarction/epidemiology/*pathology
MH  - Cohort Studies
MH  - Female
MH  - Humans
MH  - Magnetic Resonance Imaging/*standards
MH  - Male
MH  - Nerve Fibers, Myelinated/*pathology
MH  - *Severity of Illness Index
MH  - Stroke/epidemiology/*pathology
EDAT- 2012/10/19 06:00
MHDA- 2013/10/18 06:00
CRDT- 2012/10/19 06:00
PHST- 2012/04/19 00:00 [received]
PHST- 2012/07/04 00:00 [accepted]
PHST- 2012/10/19 06:00 [entrez]
PHST- 2012/10/19 06:00 [pubmed]
PHST- 2013/10/18 06:00 [medline]
AID - 000341859 [pii]
AID - 10.1159/000341859 [doi]
PST - ppublish
SO  - Neuroepidemiology. 2013;40(1):13-22. doi: 10.1159/000341859. Epub 2012 Oct 11.