Medical Image Understanding and Analysis Conference 2020 Jul 15, 2020 - Jul 17, 2020 — Virtual Meeting (online)
CAFACHEM 2020 Summer School on Organic & Halogen Radiochemistry Aug 26, 2020 - Aug 28, 2020 — Virtual Meeting (online)
Scottish Dementia Research Consortium Annual Conference 2020 [rescheduled] Sep 07, 2020 10:00 AM - 04:00 PM — Radisson Blu, 301 Argyle St, Glasgow
Society for Magnetic Resonance Angiography - SMRA2020 VIRTUAL Sep 11, 2020 - Sep 13, 2020 — Virtual Meeting (online)

eLearning

SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.


Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

MR diffusion and perfusion parameters: relationship to metabolites in acute ischaemic stroke

Author(s): V. Cvoro, I. Marshall, P. A. Armitage, M. E. Bastin, T. Carpenter, C. S. Rivers, M. S. Dennis, J. M. Wardlaw

Abstract:
Background Magnetic resonance (MR) diffusion and perfusion imaging are used to identify ischaemic penumbra, but there are few comparisons with neuronal loss and ischaemia in vivo. The authors compared N-acetyl aspartate (NAA, found in intact neurons) and lactate (anaerobic metabolism) with diffusion/perfusion parameters. Methods The authors prospectively recruited patients with acute ischaemic stroke and performed MR diffusion tensor, perfusion (PWI) and proton chemical shift spectroscopic imaging (CSI). We superimposed a 0.5 cm voxel grid on the diffusion-weighted images (DWI) and classified voxels as 'definitely abnormal,' 'possibly abnormal' or normal on DWI appearance, and 'mismatch' for voxels in DWI/PWI mismatch areas. The authors compared metabolite (NAA, lactate), perfusion and apparent diffusion coefficient (ADC) values in each voxel type. Results NAA differentiated 'definitely' from 'possibly abnormal,' and 'possibly abnormal' from 'mismatch' (both comparisons p<0.01) voxels, but not 'mismatch' from 'normal' voxels. Lactate was highest in 'definitely abnormal,' and progressively lower in 'possibly abnormal,' 'mismatch,' than 'normal' voxels (all differences p<0.01). There was no correlation between NAA and ADC or PWI values, but high lactate correlated with low ADC (Spearman r = -0.41, p=0.02) and prolonged mean transit time (Spearman r=0.42, p=0.02). Conclusion ADC and mean transit time indicate the presence of ischaemia (lactate) but not cumulative total neuronal damage (NAA) in acute ischaemic stroke, suggesting that caution is required if using ADC and PWI parameters to differentiate salvageable from non-salvageable tissue. Further refinement of the DWI/PWI concept is required prior to more widespread use.

Full version: Available here

Click the link to go to an external website with the full version of the paper


ISBN: 0022-3050
Publication Year: 2010
Periodical: Journal of Neurology Neurosurgery and Psychiatry
Periodical Number: 2
Volume: 81
Pages: 185-191
Author Address: Wardlaw, JM Univ Edinburgh, SFC Brain Imaging Res Ctr, SINAPSE Collaborat, Div Clin Neurosci,Western Gen Hosp, Crewe Rd, Edinburgh EH4 2XU, Midlothian, Scotland Univ Edinburgh, SFC Brain Imaging Res Ctr, SINAPSE Collaborat, Div Clin Neurosci,Western Gen Hosp, Edinburgh EH4 2XU, Midlothian, Scotland Univ Edinburgh, Western Gen Hosp, Div Med Phys, Edinburgh EH4 2XU, Midlothian, Scotland Univ Leeds, Clin Trials Res Unit, Leeds, W Yorkshire, England