Carotid Plaque Fibrous Cap Thickness Measurement by ARFI Variance of Acceleration: In Vivo Human Results.
Carotid Plaque Fibrous Cap Thickness Measurement by ARFI Variance of Acceleration: In Vivo Human Results.
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DOI：
10.1109/tmi.2020.3019184
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发表时间：
2020-12
影响因子：
10.6
通讯作者：
Gallippi CM
中科院分区：
文献类型：
--
作者：
Torres G;Czernuszewicz TJ;Homeister JW;Farber MA;Caughey MC;Gallippi CM
本研究评估了基于声辐射力脉冲 (ARFI) 的结果参数、加速度方差的十进制对数或 log(VoA) 的性能，用于测量颈动脉纤维帽厚度。使用空间匹配的组织学验证标准，将接受临床指示颈动脉内膜切除术的患者的颈动脉斑块纤维帽厚度测量值（VoA）与 ARFI 峰值位移（PD）测量值进行比较。使用自定义聚类算法自动分割参数日志 (VoA) 和 PD 图像中的纤维帽，并由具有动脉粥样硬化专业知识的病理学家在组织学中手工描绘纤维帽。在超过 10 个纤维帽中，log(VoA) 衍生的厚度与组织学厚度的相关性比 PD 衍生的厚度更强，log(VoA) 的皮尔逊相关值为 0.98，而 PD 的皮尔逊相关值为 0.89。根据一致性相关系数（0.95 与 0.62）评估，log(VoA) 衍生的纤维帽厚度也与组织学测量的厚度具有更好的一致性，并且通过 Bland-Altman 分析，比 PD 衍生的纤维帽厚度更一致。这些结果表明，相对于 ARFI PD，ARFI log(VoA) 能够更好地辨别纤维帽厚度，并进一步提供越来越多的证据，证明 ARFI 在描绘颈动脉粥样硬化斑块的结构和组成以预测中风风险方面具有整体相关性。
This study evaluates the performance of an acoustic radiation force impulse (ARFI)-based outcome parameter, the decadic logarithm of the variance of acceleration, or log(VoA), for measuring carotid fibrous cap thickness. Carotid plaque fibrous cap thickness measurement by log(VoA) was compared to that by ARFI peak displacement (PD) in patients undergoing clinically indicated carotid endarterectomy using a spatially-matched histological validation standard. Fibrous caps in parametric log(VoA) and PD images were automatically segmented using a custom clustering algorithm, and a pathologist with expertise in atherosclerosis hand-delineated fibrous caps in histology. Over 10 fibrous caps, log(VoA)-derived thickness was more strongly correlated to histological thickness than PD-derived thickness, with Pearson correlation values of 0.98 for log(VoA) compared to 0.89 for PD. The log(VoA)-derived cap thickness also had better agreement with histology-measured thickness, as assessed by the concordance correlation coefficient (0.95 versus 0.62), and, by Bland-Altman analysis, was more consistent than PD-derived fibrous cap thickness. These results suggest that ARFI log(VoA) enables improved discrimination of fibrous cap thickness relative to ARFI PD and further contributes to the growing body of evidence demonstrating ARFI’s overall relevance to delineating the structure and composition of carotid atherosclerotic plaque for stroke risk prediction.