Comparing knowledge-based 3D Reconstruction to Conventional MRI Algorithms Measuring Left Cardiac Chamber Volumes in Pediatrics

Author:

Ahmad Attila1,Windram Jonathan1,Eckersley Luke1

Affiliation:

1. University of Alberta

Abstract

Abstract Objectives: Compare accuracy of 3D knowledge-based reconstruction (3D KBR) algorithm to standard measurement of left atrial (LA) and left ventricle (LV) volumes.Background: Accurate measurement of LV and LA volume is essential in assessing cardiac function. Cardiac magnetic resonance imaging (CMR) is the gold standard, but analysis is relatively time consuming. Our study compared analysis time and agreement of 3D KBR algorithm to conventional CMR. Methods: CMR studies of children aged 3-17 years with iron-overload were analyzed. DiCOM data was uploaded into the 3D KBR software calculated the LA and LV volumes in end systole and diastole, and ejection fraction. LA volumes were calculated using biplane method. LV measurements were calculated using Simpson's method (using a short axis stack) (SAX) technique. These methods were compared using intraclass coefficients (ICC) and Bland-Altman plots.Results: 71 CMR studies of 31 patients were analyzed. No mean bias between SAX and VMS (Ventripoint software) measurement of LV end diastolic volume (EDV), biplane and VMS measurements of LA end systolic volume (ESV) or LA EDV were found. A small positive bias in VMS LV ESV; with moderate agreement in LV EDV, LA ESV and LV ejection fraction (EF)/ LA EF and wider limits of agreement in LV ESV and LA EDV. Excellent correlation between SAX and VMS in measuring LV volumes, biplane and VMS LA volumes. Interobserver agreement for VMS LV and LA volumes were excellent. VMS LV analysis time was 2.43 min and VMS LA analysis time was 1.46 min.Conclusion: 3DKBR offers a time efficient alternative with comparable accuracy to the current LV and LA measurements used in clinical practice.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3