Feasibility and impact factors of quantitative evaluation on left ventricular chamber volumes and ejection fraction with 3D automated left ventricular quantification technique
10.13929/j.1003-3289.201805119
- VernacularTitle: 三维全自动左心容积定量技术评价左心室容积及射血分数的可行性及影响因素
- Author:
Meng LI
1
Author Information
1. Department of Cardiovascular Ultrasound, The First Hospital of China Medical University
- Publication Type:Journal Article
- Keywords:
Automated quantification;
Echocardiography;
Ejection fraction;
Feasibility;
Left ventricular volumes
- From:
Chinese Journal of Medical Imaging Technology
2019;35(1):63-68
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe the feasibility and impact factors of 3D automated left ventricular quantification technique-Heart Model (HM) in assessment of left ventricular volumes and ejection fraction. Methods 3D images in HM mode of 80 patients were collected, and the images were analyzed using HM and traditional real-time 3D echocardiography (RT3DE) to obtain left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV) and left ventricular ejection fraction (LVEF). Manual HM border editing (HME) was performed when automatic tracing border did not fit the native endocardial border. The results were compared to explore the impact factors. Results The overall differences between HM, HME and RT3DE in measuring LVEDV, LVESV and LVEF were statistically significant (all P<0.05). All the values measured with HM were greater than those with RT3DE. LVEDV and LVESV measured with HME were greater than those with RT3DE (all P<0.05), while the difference of LVEF was not statistically significant (P>0.05). The measuring differences between HME and RT3DE (ΔHM-RT3DE) were less than that between HM and RT3DE (ΔHME-RT3DE, all P<0.05). The patients were divided into group A (good image quality, n=54) and group B (poor image quality, n=26), and except LVESV, the others of the ΔHM-RT3DE of group A were less than group B (all P<0.05). HM and RT3DE had good consistency, which could be improved with manual editing. The inter- and intra-observers repeatability was good for both HM and HME, with the intraclass correlation coefficients greater than 0.9. Conclusion There is good consistency between HM and RT3DE in automatic quantification of left ventricular volumes and ejection fraction. Manual editing of endocardial border can improve the accuracy, and the image quality has certain impact on the measurements.
