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Visual rating scales of white matter hyperintensities and atrophy: comparison of computed tomography and magnetic resonance imaging

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    Rights statement: © 2018 The Authors. Published by Elsevier Inc. on behalf of National Stroke Association. This is an open access article under the CC BY license

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https://www.sciencedirect.com/science/article/pii/S105230571830079X
Original languageEnglish
JournalJournal of Stroke and Cerebrovascular Diseases
Early online date23 Mar 2018
DOIs
Publication statusE-pub ahead of print - 23 Mar 2018

Abstract

Goal
Magnetic resonance imaging (MRI) is the preferred modality for research on structural age-related brain changes. However, computed tomography (CT) is widely available and has practical and cost advantages over MRI for large-scale brain imaging research studies in acutely unwell patients. However, the relationships between MRI and CT measures of white matter hyperintensities (WMH) and atrophy are unclear. We examined the relationships between visual ratings of WMH, atrophy, and old infarcts in patients who had both CT and MRI scans.
Materials and Methods
Patients who had both CT and MRI scans in the International Stroke Trial-3 were studied. In both modalities, 2 raters independently completed standardized visual rating scales for WMH, and for central and superficial atrophy using a 5-point scale. In addition, 1 rater recorded old infarcts according to size and location.
Findings
Seventy patients with a mean age of 69 years were studied. There were moderate to substantial intrarater CT–MRI agreements for periventricular components of WMH scales (weighted Κappa = .55-.75). Agreements for basal ganglia ratings were lower (weighted Κappa = .18-.44), partly because of the misclassification of prominent perivascular spaces. Atrophy scales showed moderate to substantial CT–MRI agreements (weighted Κappa = .44-.70). MRI was more sensitive in the detection of smaller infarcts and cavitated lesions.
Conclusions
Standardized visual rating scales of white matter lesions and atrophy mostly show substantial agreement between CT and MRI. Clinical CT scans have a strong potential for wider exploitation in research studies, particularly in acutely unwell populations.

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