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Mendeley readers
Attention Score in Context
| Title |
Impact of a vendor-specific motion-correction algorithm on image quality, interpretability, and diagnostic performance of daily routine coronary CT angiography: influence of heart rate on the effect of motion-correction
|
|---|---|
| Published in |
The International Journal of Cardiovascular Imaging, July 2014
|
| DOI | 10.1007/s10554-014-0499-4 |
| Pubmed ID | |
| Authors |
Heon Lee, Jeong A. Kim, Ji Sung Lee, Jon Suh, Sang Hyun Paik, Jai Soung Park |
| Abstract |
To investigate the impact of a vendor-specific motion-correction algorithm on morphological assessment of coronary arteries using coronary CT angiography (cCTA) and to evaluate the influence of heart rate (HR) on the motion-correction effect of this algorithm. Eighty-four patients (mean age 56.3 ± 11.4 years; 53 males) were divided into two groups with a HR of ≥65 and <65 bpm during cCTA, respectively. Images were assigned quality scores (graded 1-4) on coronary segments. Interpretability was defined as a grade >1. Catheter angiography was used to determine the diagnostic accuracy of cCTA for detecting significant stenosis (≥50 %). We compared the image quality, interpretability and diagnostic accuracy between the standard and motion-correction reconstructions in both groups. The motion-correction reconstructions showed significantly (p < 0.05) higher image quality in the proximal and middle right coronary artery (RCA) in the low HR group (57.2 ± 5.0 bpm; n = 51) and proximal-to-distal RCA, posterior descending artery, and proximal and distal left circumflex artery in the high HR group (71.1 ± 4.6 bpm; n = 33). The per-segment interpretability was significantly higher using motion-correction algorithm in the middle RCA in the low HR group and in the proximal and middle RCA in high HR group. Overall, the image quality and interpretability were improved using motion-correction reconstructions in both groups (p < 0.05). Motion-correction reconstruction demonstrated higher (p < 0.05) diagnostic accuracy in 25 patients from both groups. Use of the motion-correction algorithm improves the overall image quality and interpretability of cCTA in both groups. However, it may be more beneficial to the patients with a higher HR. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 21% |
| Student > Master | 3 | 16% |
| Student > Ph. D. Student | 3 | 16% |
| Researcher | 3 | 16% |
| Student > Postgraduate | 2 | 11% |
| Other | 1 | 5% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 32% |
| Engineering | 5 | 26% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Earth and Planetary Sciences | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 3 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 July 2014.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from The International Journal of Cardiovascular Imaging
#1,460
of 2,012 outputs
Outputs of similar age
#205,921
of 239,885 outputs
Outputs of similar age from The International Journal of Cardiovascular Imaging
#23
of 45 outputs
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So far Altmetric has tracked 2,012 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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