Title |
Altered coronary endothelial function in young smokers detected by magnetic resonance assessment of myocardial blood flow during the cold pressor test
|
---|---|
Published in |
The International Journal of Cardiovascular Imaging, February 2014
|
DOI | 10.1007/s10554-014-0387-y |
Pubmed ID | |
Authors |
Yasutaka Ichikawa, Kakuya Kitagawa, Shingo Kato, Kaoru Dohi, Tadanori Hirano, Masaaki Ito, Hajime Sakuma |
Abstract |
Endothelial dysfunction is a key element in early atherogenesis. The purposes of this study were to evaluate the feasibility of magnetic resonance (MR) assessment of altered myocardial blood flow (MBF) in response to the cold pressor test (CPT) and to determine if coronary endothelial dysfunction in young smokers can be detected with this noninvasive approach. Fourteen healthy non-smokers (31 ± 6 years) and 12 smokers (34 ± 8 years) were studied. Breath-hold phase-contrast cine MR imaging (PC-MRI) of the coronary sinus (CS) were obtained at rest and during the CPT. MBF was measured as CS flow divided by left ventricle mass and the rate pressure product. In non-smokers, MBF was 0.88 ± 0.19 ml/min/g at rest and significantly increased to 1.13 ± 0.26 ml/min/g during the CPT (P = 0.0001). In smokers, MBF was 0.94 ± 0.26 ml/min/g at rest and 0.96 ± 0.30 ml/min/g during the CPT (P = 0.73). ΔMBF (MBF during the CPT-MBF at rest) was significantly reduced in smokers compared with non-smokers (0.02 ± 0.20 vs. 0.26 ± 0.18 ml/min/g, P = 0.005). The intra-class correlation coefficient between measurements by two observers was 0.90 for ΔMBF. A significant reduction in MBF response to CPT was demonstrated in young smokers with PC-MRI at 1.5 T. This noninvasive method has great potential for assessment of coronary endothelial function. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 17% |
Researcher | 2 | 11% |
Student > Postgraduate | 2 | 11% |
Student > Doctoral Student | 1 | 6% |
Student > Master | 1 | 6% |
Other | 3 | 17% |
Unknown | 6 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 50% |
Computer Science | 1 | 6% |
Nursing and Health Professions | 1 | 6% |
Sports and Recreations | 1 | 6% |
Psychology | 1 | 6% |
Other | 0 | 0% |
Unknown | 5 | 28% |