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Mendeley readers
Attention Score in Context
| Title |
MRI based diffusion and perfusion predictive model to estimate stroke evolution
|
|---|---|
| Published in |
Magnetic Resonance Imaging (0730725X), October 2001
|
| DOI | 10.1016/s0730-725x(01)00435-0 |
| Pubmed ID | |
| Authors |
Stephen E. Rose, Jonathan B. Chalk, Mark P. Griffin, Andrew L. Janke, Fang Chen, Geoffrey J. McLachan, David Peel, Fernando O. Zelaya, Hugh S. Markus, Derek K. Jones, Andrew Simmons, Michael O’Sullivan, Jo M. Jarosz, Wendy Strugnell, David M. Doddrell, James Semple |
| Abstract |
In this study we present a novel automated strategy for predicting infarct evolution, based on MR diffusion and perfusion images acquired in the acute stage of stroke. The validity of this methodology was tested on novel patient data including data acquired from an independent stroke clinic. Regions-of-interest (ROIs) defining the initial diffusion lesion and tissue with abnormal hemodynamic function as defined by the mean transit time (MTT) abnormality were automatically extracted from DWI/PI maps. Quantitative measures of cerebral blood flow (CBF) and volume (CBV) along with ratio measures defined relative to the contralateral hemisphere (r(a)CBF and r(a)CBV) were calculated for the MTT ROIs. A parametric normal classifier algorithm incorporating these measures was used to predict infarct growth. The mean r(a)CBF and r(a)CBV values for eventually infarcted MTT tissue were 0.70 +/- 0.19 and 1.20 +/- 0.36. For recovered tissue the mean values were 0.99 +/- 0.25 and 1.87 +/- 0.71, respectively. There was a significant difference between these two regions for both measures (p < 0.003 and p < 0.001, respectively). Mean absolute measures of CBF (ml/100g/min) and CBV (ml/100g) for the total infarcted territory were 33.9 +/- 9.7 and 4.2 +/- 1.9. For recovered MTT tissue, the mean values were 41.5 +/- 7.2 and 5.3 +/- 1.2, respectively. A significant difference was also found for these regions (p < 0.009 and p < 0.036, respectively). The mean measures of sensitivity, specificity, positive and negative predictive values for modeling infarct evolution for the validation patient data were 0.72 +/- 0.05, 0.97 +/- 0.02, 0.68 +/- 0.07 and 0.97 +/- 0.02. We propose that this automated strategy may allow possible guided therapeutic intervention to stroke patients and evaluation of efficacy of novel stroke compounds in clinical drug trials. |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 55 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 30% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Master | 7 | 13% |
| Other | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Other | 15 | 27% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 32% |
| Engineering | 10 | 18% |
| Neuroscience | 8 | 14% |
| Agricultural and Biological Sciences | 6 | 11% |
| Computer Science | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 4 | 7% |
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 01 September 2015.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Magnetic Resonance Imaging (0730725X)
#502
of 1,941 outputs
Outputs of similar age
#15,239
of 44,625 outputs
Outputs of similar age from Magnetic Resonance Imaging (0730725X)
#3
of 10 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,941 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 44,625 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.