Literature DB >> 19684233

Diffusion tensor imaging may help the determination of time at onset in cerebral ischaemia.

K Sakai1, K Yamada, Y Nagakane, S Mori, M Nakagawa, T Nishimura.   

Abstract

BACKGROUND AND AIMS: The apparent diffusion coefficient (ADC) and anisotropy (eg, fractional anisotropy (FA)) of ischaemic tissue evolve over time. A reduction in diffusivity (ie, lambda(2) and lambda(3)) is an important marker for characterising hyperacute-stage infarction, as these parameters may reflect axonal membrane status. The study examines whether transverse diffusivity could be useful in assessing white matter infarcts of various ages.
METHODS: Diffusion tensor imaging data from 44 adult patients (34 men, 10 women, aged 46 to 89 years, mean = 70.3) with acute white matter infarction (1-168 h) of the internal capsule were analysed. Relative eigenvalues were calculated as: (lambda(ipsi)-lambda(contra))/lambda(contra). Lesions were classified based on theoretically expected evolution of diffusivity over time as follows: stage I, FA higher than the contralesional region of interest (ROI); stage II, diffusivity lower than the contralesional side for all eigenvalues; stage III, one of two transverse eigenvalues (lambda(2) or lambda(3)) higher than the contralesional ROI.
RESULTS: Stage I infarcts (n = 5) were found primarily within 24 h of the onset of symptoms, with one case found on the third day. Stage II infarcts were found most commonly within 24 h (n = 18), and fewer after 24 h. After the first day, the ratio of stage III infarcts increased significantly. Thus, diffusivity-based classification of white matter infarcts seems to show a chronological trend.
CONCLUSIONS: Diffusion anisotropy may be useful for defining the biological tissue clock of white matter infarctions.

Entities:  

Mesh:

Year:  2009        PMID: 19684233     DOI: 10.1136/jnnp.2008.163584

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  5 in total

1.  Ex vivo diffusion tensor imaging and neuropathological correlation in a murine model of hypoxia-ischemia-induced thrombotic stroke.

Authors:  Ahmed Shereen; Niza Nemkul; Dianer Yang; Faisal Adhami; R Scott Dunn; Missy L Hazen; Masato Nakafuku; Gang Ning; Diana M Lindquist; Chia-Yi Kuan
Journal:  J Cereb Blood Flow Metab       Date:  2010-12-08       Impact factor: 6.200

2.  Corticospinal tract diffusion abnormalities early after stroke predict motor outcome.

Authors:  Benjamin N Groisser; William A Copen; Aneesh B Singhal; Kelsi K Hirai; Judith D Schaechter
Journal:  Neurorehabil Neural Repair       Date:  2014-02-11       Impact factor: 3.919

3.  Differentiation of the Infarct Core from Ischemic Penumbra within the First 4.5 Hours, Using Diffusion Tensor Imaging-Derived Metrics: A Rat Model.

Authors:  Duen-Pang Kuo; Chia-Feng Lu; Michelle Liou; Yung-Chieh Chen; Hsiao-Wen Chung; Cheng-Yu Chen
Journal:  Korean J Radiol       Date:  2017-02-07       Impact factor: 3.500

4.  Machine learning-based segmentation of ischemic penumbra by using diffusion tensor metrics in a rat model.

Authors:  Duen-Pang Kuo; Po-Chih Kuo; Yung-Chieh Chen; Yu-Chieh Jill Kao; Ching-Yen Lee; Hsiao-Wen Chung; Cheng-Yu Chen
Journal:  J Biomed Sci       Date:  2020-07-15       Impact factor: 8.410

5.  Diffusion Tensor-Derived Properties of Benign Oligemia, True "at Risk" Penumbra, and Infarct Core during the First Three Hours of Stroke Onset: A Rat Model.

Authors:  Fang-Ying Chiu; Duen-Pang Kuo; Yung-Chieh Chen; Yu-Chieh Kao; Hsiao-Wen Chung; Cheng-Yu Chen
Journal:  Korean J Radiol       Date:  2018-10-18       Impact factor: 3.500

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.