title: Validation of fast diffusion kurtosis MRI for imaging acute ischemia in a rodent model of stroke.
abstract: Diffusion-weighted imaging (DWI) captures ischemic tissue that is likely to infarct, and has become one of the most widely used acute stroke imaging techniques. Diffusion kurtosis imaging (DKI) has lately been postulated as a complementary MRI method to stratify the heterogeneously damaged DWI lesion. However, the conventional DKI acquisition time is relatively long, limiting its use in the acute stroke setting. Recently, a fast kurtosis mapping method has been demonstrated in fixed brains and control subjects. The fast DKI approach provides mean diffusion and kurtosis measurements under substantially reduced scan time, making it amenable to acute stroke imaging. Because it is not practical to obtain and compare different means of DKI to test whether the fast DKI method can reliably detect diffusion and kurtosis lesions in acute stroke patients, our study investigated its diagnostic value using an animal model of acute stroke, a critical step before fast DKI acquisition can be routinely applied in the acute stroke setting. We found significant correlation, per voxel, between the diffusion and kurtosis coefficients measured using the fast and conventional DKI protocols. In acute stroke rats, the two DKI methods yielded diffusion and kurtosis lesions that were in good agreement. Importantly, substantial kurtosis-diffusion lesion mismatch was observed using the conventional (26 ± 13%, P < 0.01) and fast DKI methods (23 ± 8%, P < 0.01). In addition, regression analysis showed that the kurtosis-diffusion lesion mismatches obtained using conventional and fast DKI methods were substantially correlated (R(2) = 0.57, P = 0.02). Our results confirmed that the recently proposed fast DKI method is capable of capturing heterogeneous diffusion and kurtosis lesions in acute ischemic stroke, and thus is suitable for translational applications in the acute stroke clinical setting.
authors.affiliation: Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.
authors.forename: Phillip Zhe
authors.initials: PZ
authors.lastname: Sun
authors.forename: Yu
authors.initials: Y
authors.lastname: Wang
authors.forename: Emiri
authors.initials: E
authors.lastname: Mandeville
authors.forename: Suk-Tak
authors.initials: ST
authors.lastname: Chan
authors.forename: Eng H
authors.initials: EH
authors.lastname: Lo
authors.forename: Xunming
authors.initials: X
authors.lastname: Ji
mesh_terms: D000208:Acute Disease; D000818:Animals; D002545:Brain Ischemia / Q000175:diagnosis / Q000473:pathology*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D056324:Diffusion Tensor Imaging / Q000379:methods*; D020244:Infarction, Middle Cerebral Artery / Q000175:diagnosis / Q000473:pathology; D008297:Male; D023421:Models, Animal; D011336:Probability; D051381:Rats; D017208:Rats, Wistar
keywords: acute stroke; diffusion kurtosis imaging (DKI); diffusion-weighted imaging (DWI); mean diffusion (MD); mean kurtosis (MK)