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使用基于图像导航的全心冠状动脉磁共振血管造影术检测先天性心脏病成年患者的冠状动脉异常。

Whole-heart coronary MR angiography using image-based navigation for the detection of coronary anomalies in adult patients with congenital heart disease.

作者信息

Henningsson Markus, Hussain Tarique, Vieira Miguel S, Greil Gerald F, Smink Jouke, Ensbergen Gerald V, Beck Gabrielle, Botnar Rene M

机构信息

Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.

Philips Healthcare, Best, The Netherlands.

出版信息

J Magn Reson Imaging. 2016 Apr;43(4):947-55. doi: 10.1002/jmri.25058. Epub 2015 Oct 9.

Abstract

BACKGROUND

The purpose of this study was to evaluate a recently developed two-dimensional (2D) image-based navigation approach (iNAVG+C ) combined with respiratory bellows gating for CMRA in patients with congenital heart disease.

METHODS

Nine healthy volunteers (mean age 32 ± 6 years [standard deviation]) and 29 patients (28 ± 9 years) were scanned on a 1.5 Tesla clinical scanner using iNAV(G+C) motion compensated T2prepared CMRA, and the conventional 1D NAV approach. Scan time was recorded for each CMRA scan. An image quality score was given to each coronary artery from (0, uninterpretable; to 4, excellent image quality). Additionally, vessel sharpness of each coronary artery was measured.

RESULTS

Average scan time was significantly shorter (P < 0.01) using the proposed iNAVC+G approach (7:57 ± 1:34) compared with 1D NAV (9:15 ± 3:02). Improved visual scores of the right coronary artery (iNAV(G+C) : 4,3,4 (median, 25th percentile, 75th percentile) versus 1D NAV: 3,3,4; P < 0.001) and left anterior descending artery (iNAV(G+C) : 3,3,4 versus 1D NAV: 3,2,3; P < 0.001) were obtained using iNAV(G+C) compared with 1D NAV as well as an increased vessel sharpness of the right coronary artery (iNAV(G+C) : 65.3% ± 6.6% (mean ± standard deviation) versus 1D NAV: 60.2% ± 11.4%; P < 0.05) and left anterior descending artery (iNAV(G+C) : 63.2% ± 6.7% versus 1D NAV: 58.3% ± 9.5%; P < 0.05).

CONCLUSION

Image-based navigation in combination with respiratory bellows gating allows for more robust suppression of respiratory motion artifacts for whole-heart CMRA compared with conventional 1D NAV as images can be acquired in a shorter time and with improved image quality.

摘要

背景

本研究的目的是评估一种最近开发的基于二维(2D)图像的导航方法(iNAVG+C)结合呼吸波纹管门控技术在先天性心脏病患者CMRA中的应用。

方法

9名健康志愿者(平均年龄32±6岁[标准差])和29名患者(28±9岁)在1.5特斯拉临床扫描仪上采用iNAV(G+C)运动补偿T2准备CMRA以及传统的一维导航方法进行扫描。记录每次CMRA扫描的扫描时间。对每条冠状动脉给予图像质量评分(从0分,无法解读;到4分,图像质量极佳)。此外,测量每条冠状动脉的血管清晰度。

结果

与一维导航(9:15±3:02)相比,使用所提出的iNAVC+G方法(7:57±1:34)的平均扫描时间显著缩短(P<0.01)。与一维导航相比,使用iNAV(G+C)获得了右冠状动脉(iNAV(G+C):4,3,4(中位数,第25百分位数,第75百分位数)对一维导航:3,3,4;P<0.001)和左前降支动脉(iNAV(G+C):3,3,4对一维导航:3,2,3;P<0.001)更好的视觉评分,以及右冠状动脉(iNAV(G+C):65.3%±6.6%(平均值±标准差)对一维导航:60.2%±11.4%;P<0.05)和左前降支动脉(iNAV(G+C):63.2%±6.7%对一维导航:58.3%±9.5%;P<0.05)血管清晰度的增加。

结论

与传统的一维导航相比,基于图像的导航结合呼吸波纹管门控技术能够更有效地抑制全心CMRA中的呼吸运动伪影,因为可以在更短的时间内采集到质量更好的图像。

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