Title

Investigation of techniques to quantify in vivo lesion volume based on comparison of water apparent diffusion coefficient (ADC) maps with histology in focal cerebral ischemia of rats

UMMS Affiliation

Department of Neurology; Department of Radiology; Graduate School of Biomedical Sciences

Publication Date

2004-06-03

Document Type

Article

Subjects

Acute Disease; Animals; Brain Ischemia; Diffusion Magnetic Resonance Imaging; Male; Middle Cerebral Artery; Models, Animal; Rats; Rats, Sprague-Dawley; Time Factors

Disciplines

Neurology | Radiology

Abstract

Stroke lesion-volume estimates derived from calculated water apparent diffusion coefficient (ADC) maps provide a quantitative surrogate end-point for investigating the efficacy of drug treatment or studying the temporal evolution of cerebral ischemia. Methodology is described for estimating ischemic lesion volumes in a rat model of permanent middle cerebral artery occlusion (MCAO) based on absolute and percent-reduction threshold values of the water ADC at 3 h post-MCAO. Volume estimates derived from average ADC (ADC(av)) maps were compared with those derived from post-mortem histological sections. Optimum ADC thresholds were established as those that provided the best correlation and one-to-one correspondence between ADC- and histologically derived lesion-volume estimates. At 3 h post-MCAO, an absolute-ADC(av) threshold of 47 x 10(-5) mm(2)/s (corresponding to a 33% reduction in ADC(av) based on a contralateral hemisphere comparison) provided the most accurate estimate of percent hemispheric lesion volume (%HLV). Experimental and data analysis issues for improving and validating the usefulness of DWI as a surrogate endpoint for the quantification of ischemic lesion volume are discussed.

DOI of Published Version

10.1016/j.mri.2004.01.043

Source

Magn Reson Imaging. 2004 Jun;22(5):653-9. Link to article on publisher's site

Journal/Book/Conference Title

Magnetic resonance imaging

Related Resources

Link to article in PubMed

PubMed ID

15172059

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