Literature DB >> 30921782

Quantifying T 2 relaxation time changes within lesions defined by apparent diffusion coefficient in grey and white matter in acute stroke patients.

Robin A Damion1, Michael J Knight, Bryony L McGarry, Rose Bosnell, Peter Jezzard, George Wj Harston, Davide Carone, James Kennedy, Salwa El-Tawil, Jennifer Elliot, Keith W Muir, Philip Clatworthy, Risto A Kauppinen.   

Abstract

The apparent diffusion coefficient (ADC) of cerebral water, as measured by diffusion MRI, rapidly decreases in ischaemia, highlighting a lesion in acute stroke patients. The MRI T 2 relaxation time changes in ischaemic brain such that T 2 in ADC lesions may be informative of the extent of tissue damage, potentially aiding in stratification for treatment. We have developed a novel user-unbiased method of determining the changes in T 2 in ADC lesions as a function of clinical symptom duration based on voxel-wise referencing to a contralateral brain volume. The spherical reference method calculates the most probable pre-ischaemic T 2 on a voxel-wise basis, making use of features of the contralateral hemisphere presumed to be largely unaffected. We studied whether T 2 changes in the two main cerebral tissue types, i.e. in grey matter (GM) and white matter (WM), would differ in stroke. Thirty-eight acute stroke patients were accrued within 9 h of symptom onset and scanned at 3 T for 3D T 1-weighted, multi b-value diffusion and multi-echo spin echo MRI for tissue type segmentation, quantitative ADC and absolute T 2 images, respectively. T 2 changes measured by the spherical reference method were 1.94  ±  0.61, 1.50  ±  0.52 and 1.40  ±  0.54 ms h-1 in the whole, GM, and WM lesions, respectively. Thus, T 2 time courses were comparable between GM and WM independent of brain tissue type involved. We demonstrate that T 2 changes in ADC-delineated lesions can be quantified in the clinical setting in a user unbiased manner and that T 2 change correlated with symptom onset time, opening the possibility of using the approach as a tool to assess severity of tissue damage in the clinical setting.

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Year:  2019        PMID: 30921782      PMCID: PMC6520250          DOI: 10.1088/1361-6560/ab1442

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  27 in total

1.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm.

Authors:  Y Zhang; M Brady; S Smith
Journal:  IEEE Trans Med Imaging       Date:  2001-01       Impact factor: 10.048

2.  Quantitative t2 values predict time from symptom onset in acute stroke patients.

Authors:  Susanne Siemonsen; Kim Mouridsen; Brigitte Holst; Thorsten Ries; Jürgen Finsterbusch; Götz Thomalla; Leif Ostergaard; Jens Fiehler
Journal:  Stroke       Date:  2009-03-26       Impact factor: 7.914

3.  Early detection of regional cerebral ischemia in cats: comparison of diffusion- and T2-weighted MRI and spectroscopy.

Authors:  M E Moseley; Y Cohen; J Mintorovitch; L Chileuitt; H Shimizu; J Kucharczyk; M F Wendland; P R Weinstein
Journal:  Magn Reson Med       Date:  1990-05       Impact factor: 4.668

Review 4.  The role of diffusion tensor imaging in the evaluation of ischemic brain injury - a review.

Authors:  Christopher H Sotak
Journal:  NMR Biomed       Date:  2002 Nov-Dec       Impact factor: 4.044

5.  Thresholds for infarction vary between gray matter and white matter in acute ischemic stroke: A CT perfusion study.

Authors:  Chushuang Chen; Andrew Bivard; Longting Lin; Christopher R Levi; Neil J Spratt; Mark W Parsons
Journal:  J Cereb Blood Flow Metab       Date:  2017-11-27       Impact factor: 6.200

6.  Reversal of acute apparent diffusion coefficient abnormalities and delayed neuronal death following transient focal cerebral ischemia in rats.

Authors:  F Li; S S Han; T Tatlisumak; K F Liu; J H Garcia; C H Sotak; M Fisher
Journal:  Ann Neurol       Date:  1999-09       Impact factor: 10.422

Review 7.  Does diffusion-weighted imaging represent the ischemic core? An evidence-based systematic review.

Authors:  P G Kranz; J D Eastwood
Journal:  AJNR Am J Neuroradiol       Date:  2009-04-08       Impact factor: 3.825

8.  High temporal resolution diffusion MRI of global cerebral ischemia and reperfusion.

Authors:  C Pierpaoli; J R Alger; A Righini; J Mattiello; R Dickerson; D Des Pres; A Barnett; G Di Chiro
Journal:  J Cereb Blood Flow Metab       Date:  1996-09       Impact factor: 6.200

9.  Stroke onset time estimation from multispectral quantitative magnetic resonance imaging in a rat model of focal permanent cerebral ischemia.

Authors:  Bryony L McGarry; Harriet J Rogers; Michael J Knight; Kimmo T Jokivarsi; Alejandra Sierra; Olli Hj Gröhn; Risto A Kauppinen
Journal:  Int J Stroke       Date:  2016-03-22       Impact factor: 5.266

10.  A spatiotemporal theory for MRI T2 relaxation time and apparent diffusion coefficient in the brain during acute ischaemia: Application and validation in a rat acute stroke model.

Authors:  Michael J Knight; Bryony L McGarry; Harriet J Rogers; Kimmo T Jokivarsi; Olli H J Gröhn; Risto A Kauppinen
Journal:  J Cereb Blood Flow Metab       Date:  2015-10-14       Impact factor: 6.200

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  2 in total

1.  Effect of Optimized Emergency Care on Treatment Rate and Prognosis of Elderly Patients with Acute Stroke in Emergency Department: A Systematic Review and Meta-Analysis.

Authors:  Xia Liang; Yanhong Yu
Journal:  Comput Math Methods Med       Date:  2022-07-26       Impact factor: 2.809

2.  A Comparison of T2 Relaxation-Based MRI Stroke Timing Methods in Hyperacute Ischemic Stroke Patients: A Pilot Study.

Authors:  Bryony L McGarry; Robin A Damion; Isabel Chew; Michael J Knight; George Wj Harston; Davide Carone; Peter Jezzard; Amith Sitaram; Keith W Muir; Philip Clatworthy; Risto A Kauppinen
Journal:  J Cent Nerv Syst Dis       Date:  2020-09-12
  2 in total

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