| Title |
Clinical performance of Rb-82 myocardial perfusion PET and Tc-99m-based SPECT in patients with extreme obesity
|
|---|---|
| Published in |
Journal of Nuclear Cardiology, March 2017
|
| DOI | 10.1007/s12350-017-0855-6 |
| Pubmed ID | |
| Authors |
David T Harnett, Samir Hazra, Ronnen Maze, Brian A Mc Ardle, Ali Alenazy, Trevor Simard, Ellen Henry, Girish Dwivedi, Christopher Glover, Robert A deKemp, Ross A Davies, Terrence D Ruddy, Benjamin J W Chow, Rob S Beanlands, Benjamin Hibbert |
| Abstract |
We evaluated the performance of stress imaging with technetium-99m-labeled tetrofosmin single-photon emission computed tomography (SPECT) and rubidium-82 positron emission tomography (PET) in patients with extreme obesity, defined as body mass index ≥40 kg/m(2). We identified patients with extreme obesity who underwent angiography in our center and either stress SPECT or PET within the previous six months. Cohorts of patients with extreme obesity and a <5% pretest likelihood of CAD who underwent SPECT (N = 25) or PET (N = 25) were also included. In total, 108 patients who underwent SPECT (N = 57) or PET (N = 51) were identified. Scan interpretation was classified as definitely normal or abnormal in 83.3% of PET and 60.5% of SPECT scans, respectively (P < .01). PET demonstrated higher diagnostic accuracy and normalcy rate. PET was found to have higher specificity for the pooled cohort. Similar findings were observed using stenosis cut-offs of ≥50% and ≥70%. In patients with extreme obesity, PET enabled more definitive scan interpretation with less artifact compared to SPECT. PET provided higher diagnostic accuracy and specificity in the detection of obstructive coronary artery disease. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 15% |
| Other | 4 | 15% |
| Student > Postgraduate | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Librarian | 2 | 7% |
| Other | 6 | 22% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 30% |
| Nursing and Health Professions | 5 | 19% |
| Engineering | 2 | 7% |
| Unspecified | 1 | 4% |
| Mathematics | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 7 | 26% |
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 31 March 2017.
All research outputs
#17,302,400
of 25,394,764 outputs
Outputs from Journal of Nuclear Cardiology
#1,304
of 2,045 outputs
Outputs of similar age
#206,634
of 323,296 outputs
Outputs of similar age from Journal of Nuclear Cardiology
#19
of 43 outputs
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