Automated Cardiac Valve Tracking for Flow Quantification with Four-dimensional Flow MRI
Automated Cardiac Valve Tracking for Flow Quantification with Four-dimensional Flow MRI
复制标题
DOI：
10.1148/radiol.2018180807
复制
发表时间：
2019-01-01
期刊：
影响因子：
19.7
通讯作者：
Westenberg, Jos J. M.
中科院分区：
文献类型：
--
作者：
Kamphuis, Vivian P.;Roest, Arno A. W.;Westenberg, Jos J. M.
目的：比较具有自动瓣膜跟踪的四维血流 MRI 与手动瓣膜跟踪对患有获得性或先天性心脏病的患者和健康志愿者的影响。 材料和方法：在这项回顾性研究中，收集了 2006 年至 2017 年在 1.5 T 或 3.0 T 下接受四维血流 MRI 的 114 名患者和 46 名志愿者的数据。在 114 名患者中，33 名患有先天性心脏病，81 名患有先天性心脏病。疾病（中位年龄，17 岁；四分位距 [IQR]，13-49 岁），51 名 (45%) 为女性，63 名 (55%) 为男性。在 46 名志愿者中（中位年龄 28 岁；IQR 22-36 岁），其中有 19 名女性（41%）和 27 名男性（59%）。每个瓣膜的两个正交电影视图用于瓣膜跟踪。 Wilcoxon 符号秩检验用于比较分析时间、净前向体积 (NFV) 和反流分数。使用组内相关系数 (ICC) 测试观察者内和观察者间变异性。结果：自动跟踪与手动跟踪相比，分析时间更短（所有患者，14 分钟 [IQR，12-15 分钟] vs 25 分钟 [IQR，20-25 分钟]；P= 0.94；观察者间，ICC >= 0.89）。结论：自动瓣膜跟踪缩短了分析时间并提高了瓣膜流量的可靠性使用四维血流 MRI 对患有获得性或先天性心脏病的患者以及健康志愿者进行定量。 (c) 北美放射学会，2018
Purpose: To compare four-dimensional flow MRI with automated valve tracking to manual valve tracking in patients with acquired or congenital heart disease and healthy volunteers.Materials and Methods: In this retrospective study, data were collected from 114 patients and 46 volunteers who underwent four-dimensional flow MRI at 1.5 T or 3.0 T from 2006 through 2017. Among the 114 patients, 33 had acquired and 81 had congenital heart disease (median age, 17 years; interquartile range [IQR], 13-49 years), 51 (45%) were women, and 63 (55%) were men. Among the 46 volunteers (median age, 28 years; IQR, 22-36 years), there were 19 (41%) women and 27 (59%) men. Two orthogonal cine views of each valve were used for valve tracking. Wilcoxon signed-rank test was used to compare analysis times, net forward volumes (NFVs), and regurgitant fractions. Intra-and interobserver variability was tested by using intraclass correlation coefficients (ICCs).Results: Analysis time was shorter for automated versus manual tracking (all patients, 14 minutes [IQR, 12-15 minutes] vs 25 minutes [IQR, 20-25 minutes]; P= 0.94; interobserver, ICC >= 0.89).Conclusion: Automated valve tracking reduces analysis time and improves reliability of valvular flow quantification with four-dimensional flow MRI in patients with acquired or congenital heart disease and in healthy volunteers. (c) RSNA, 2018