| Title |
Long T2 water in multiple sclerosis: What else can we learn from multi-echo T2 relaxation?
|
|---|---|
| Published in |
Journal of Neurology, September 2007
|
| DOI | 10.1007/s00415-007-0595-7 |
| Pubmed ID | |
| Authors |
C. Laule, I. M. Vavasour, S. H. Kolind, A. L. Traboulsee, G. R. W. Moore, D. K. B. Li, A. L. MacKay |
| Abstract |
Multi-echo T(2) measurements are invaluable in studying brain pathology in multiple sclerosis (MS). In addition to information about myelin water and total water content, the T(2) distribution has the potential to detect additional water reservoirs arising from other sources such as inflammation or edema. The purpose of this study was to better define the T(2) distribution in MS lesions and normal appearing white matter (NAWM) with particular emphasis on the characterisation of longer T(2) components. Magnetisation transfer (MT), T(1) and 48-echo T(2) relaxation data were acquired in 20 MS subjects and regions of interest were drawn in lesions and NAWM. Twenty-seven out of 107 lesions exhibited signal with a markedly prolonged T(2) (200-800 ms). Lesions with a Long-T(2) signal also exhibited a longer geometric mean T(2) (GMT(2)), increased water content (WC), higher T(1), reduced magnetisation transfer ratio (MTR) and decreased myelin water fraction (MWF) than lesions without a Long-T(2) signal. Those subjects with Long-T(2) lesions had a significantly longer disease duration than subjects without this lesion subtype. A strong correlation was observed between T(1) and Long-T(2) fraction, while a slightly weaker relationship was found for GMT(2), MTR and MWF with Long-T(2) fraction. A potential source of the Long-T(2) signal is an increase in extracellular water. This study supports the usefulness of increasing the data acquisition window of the multi-echo T(2) relaxation sequence to better characterise the T(2) decay in MS. |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 3% |
| Unknown | 62 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 28% |
| Student > Ph. D. Student | 15 | 23% |
| Student > Master | 7 | 11% |
| Professor > Associate Professor | 5 | 8% |
| Professor | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 11 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 25% |
| Physics and Astronomy | 11 | 17% |
| Neuroscience | 9 | 14% |
| Agricultural and Biological Sciences | 6 | 9% |
| Engineering | 6 | 9% |
| Other | 2 | 3% |
| Unknown | 14 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 February 2015.
All research outputs
#7,453,479
of 22,786,691 outputs
Outputs from Journal of Neurology
#1,774
of 4,475 outputs
Outputs of similar age
#24,891
of 70,008 outputs
Outputs of similar age from Journal of Neurology
#2
of 10 outputs
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