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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dark-blood late gadolinium enhancement without additional magnetization preparation
|
|---|---|
| Published in |
Critical Reviews in Diagnostic Imaging, August 2017
|
| DOI | 10.1186/s12968-017-0372-4 |
| Pubmed ID | |
| Authors |
Robert J. Holtackers, Amedeo Chiribiri, Torben Schneider, David M. Higgins, René M. Botnar |
| Abstract |
This study evaluates a novel dark-blood late gadolinium enhancement (LGE) cardiovascular magnetic resonance imaging (CMR) method, without using additional magnetization preparation, and compares it to conventional bright-blood LGE, for the detection of ischaemic myocardial scar. LGE is able to clearly depict myocardial infarction and macroscopic scarring from viable myocardium. However, due to the bright signal of adjacent left ventricular blood, the apparent volume of scar tissue can be significantly reduced, or even completely obscured. In addition, blood pool signal can mimic scar tissue and lead to false positive observations. Simply nulling the blood magnetization by choosing shorter inversion times, leads to a negative viable myocardium signal that appears equally as bright as scar due to the magnitude image reconstruction. However, by combining blood magnetization nulling with the extended grayscale range of phase-sensitive inversion-recovery (PSIR), a darker blood signal can be achieved whilst a dark myocardium and bright scar signal is preserved. LGE was performed in nine male patients (63 ± 11y) using a PSIR pulse sequence, with both conventional viable myocardium nulling and left ventricular blood nulling, in a randomized order. Regions of interest were drawn in the left ventricular blood, viable myocardium, and scar tissue, to assess contrast-to-noise ratios. Maximum scar transmurality, scar size, circumferential scar angle, and a confidence score for scar detection and maximum transmurality were also assessed. Bloch simulations were performed to simulate the magnetization levels of the left ventricular blood, viable myocardium, and scar tissue. Average scar-to-blood contrast was significantly (p < 0.001) increased by 99% when nulling left ventricular blood instead of viable myocardium, while scar-to-myocardium contrast was maintained. Nulling left ventricular blood also led to significantly (p = 0.038) higher expert confidence in scar detection and maximum transmurality. No significant changes were found in scar transmurality (p = 0.317), normalized scar size (p = 0.054), and circumferential scar angle (p = 0.117). Nulling left ventricular blood magnetization for PSIR LGE leads to improved scar-to-blood contrast and increased expert confidence in scar detection and scar transmurality. As no additional magnetization preparation is used, clinical application on current MR systems is readily available without the need for extensive optimizations, software modifications, and/or additional training. |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 44% |
| United Kingdom | 4 | 16% |
| Colombia | 1 | 4% |
| Cyprus | 1 | 4% |
| Ireland | 1 | 4% |
| Netherlands | 1 | 4% |
| Unknown | 6 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 56% |
| Practitioners (doctors, other healthcare professionals) | 6 | 24% |
| Scientists | 3 | 12% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 19% |
| Student > Ph. D. Student | 12 | 16% |
| Other | 7 | 9% |
| Student > Bachelor | 5 | 7% |
| Student > Postgraduate | 4 | 5% |
| Other | 15 | 20% |
| Unknown | 17 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 36% |
| Engineering | 10 | 14% |
| Computer Science | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Mathematics | 2 | 3% |
| Other | 4 | 5% |
| Unknown | 26 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 08 August 2023.
All research outputs
#2,046,518
of 25,523,622 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#75
of 1,379 outputs
Outputs of similar age
#38,435
of 325,435 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#3
of 23 outputs
Altmetric has tracked 25,523,622 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,379 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 94% of its peers.
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 325,435 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.