Assessment of right ventricular function with three-dimensional speckle tracking in severe single vessel coronary artery disease patients before and after percutaneous coronary intervention / 中国医学影像技术
Chinese Journal of Medical Imaging Technology
;
(12): 11-15, 2020.
Article
in Chinese
| WPRIM
| ID: wpr-861101
ABSTRACT
Objective:
To evaluate changes of right ventricular (RV) function in severe single vessel coronary artery disease patients before and after percutaneous coronary intervention (PCI) using three-dimensional speckle tracking imaging (3D-STI).Methods:
Totally 25 patients with severe single vessel coronary artery disease but not myocardia infarction who underwent successful PCI were included in case group, while 42 patients without obvious coronary artery stenosis were selected as the controls(control group). Two-dimensional and three-dimensional (3D) ultrasonic images were collected before and 1 and 3 months after PCI. RV common parameters, right ventricular myocardial performance index (RVMPI), right ventricular fractional area change (RVFAC-3D), tricuspid annular plane systolic excursion (TAPSE-3D), right ventricular end-systolic volume (RVESV), right ventricular end-diastolic volume (RVEDV), right ventricular stroke volume (RVSV), right ventricular ejection fraction (RVEF-3D), right ventricular free wall longitudinal strain (FW-RVLS) and right ventricular septum longitudinal strain (Sep-RVLS) were measured.Results:
In case group, RVMPI significantly increased compared with control group, TAPSE-3D (P0.05). FW-RVLS was lower in patients with right coronary artery (RCA) stenosis than other conditions (P0.05). RV function were significantly improved 1 month and 3 months after PCI (both P<0.05)in case group.Conclusion:
The damage of RV function can be caused by severe single coronary artery lesion, especially in patients with RCA lesion. FW-RVLS3D-STI has good value for indicating damage of RV function, which might be improved after PCI.
Full text:
Available
Index:
WPRIM (Western Pacific)
Language:
Chinese
Journal:
Chinese Journal of Medical Imaging Technology
Year:
2020
Type:
Article
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