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二维剪切波弹性成像通过增大 SWE 框和在一次采集中使用多个感兴趣区进行简化。

Simplification of 2D shear wave elastography by enlarged SWE box and multiple regions of interest in one acquisition.

机构信息

Medical Outpatient Department, Charité Universitätsmedizin Berlin, Berlin, Germany.

出版信息

PLoS One. 2022 Sep 9;17(9):e0273769. doi: 10.1371/journal.pone.0273769. eCollection 2022.

Abstract

Two-dimensional (2D) Shear Wave Elastography (SWE) is an easy to perform technique to evaluate the liver stiffness. To simplify the procedure and reduce the acquisition time we enlarged the size of the SWE-box and set ten regions of interest (ROI) in one acquisition. We compare the accuracy of this method to ten separate acquisitions in a small box each with a single ROI measurement. Sixty-nine volunteers with diffuse chronic liver disease were studied with 2D-SWE using a Canon Aplio i800 ultrasound system. The shear-wave-speed was measured in the right lobe in ten separate acquisitions and compared to one acquisition with increased size of the SWE-box and ten different ROI measurements. A Bland-Altmann plot was drawn and the interclass correlation coefficient (ICC) was calculated to compare both methods. Finally, 2D-SWE was successfully performed thru both methods in sixty-six participants. Between both methods the ICC is 0.82. The results of this study show a good reliability between ten separate measures and one grouped measure with ten ROI if the mean is below 1.6m/s (7.7kPa). For higher degrees of fibrosis (≥F2) further investigations are needed.

摘要

二维(2D)剪切波弹性成像(SWE)是一种易于进行的技术,可用于评估肝脏硬度。为了简化程序并减少采集时间,我们增大了 SWE 盒的尺寸,并在一次采集中设置了十个感兴趣区(ROI)。我们将这种方法的准确性与在小盒子中进行的十次单独采集进行了比较,每次采集都有单个 ROI 测量。使用佳能 Aplio i800 超声系统对 69 名患有弥漫性慢性肝病的志愿者进行了 2D-SWE 研究。在十个单独的采集中测量了右叶的剪切波速度,并将其与增大 SWE 盒尺寸和十个不同 ROI 测量的一次采集进行了比较。绘制了 Bland-Altman 图,并计算了组内相关系数(ICC)来比较两种方法。最后,在 66 名参与者中成功地通过两种方法进行了 2D-SWE。两种方法之间的 ICC 为 0.82。这项研究的结果表明,如果平均值低于 1.6m/s(7.7kPa),则十个单独测量值和十个 ROI 的分组测量值之间具有良好的可靠性。对于更高程度的纤维化(≥F2),需要进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae54/9462759/7ddf4d8e4b50/pone.0273769.g001.jpg

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