Nearly automated analysis of coronary Doppler flow velocity from transthoracic ultrasound images: validation with manual tracings
Nearly automated analysis of coronary Doppler flow velocity from transthoracic ultrasound images: validation with manual tracings
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DOI：
10.1007/s11517-007-0178-x
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发表时间：
2007-05-01
影响因子：
3.2
通讯作者：
Caiani, E. G.
中科院分区：
文献类型：
--
作者：
Magagnin, V.;Delfino, L.;Caiani, E. G.
冠状动脉血流速度储备是通过经胸冠状动脉多普勒血流速度曲线的手动描记获得的，作为应力与基线舒张期峰值速度的比值。这种方法在测量中引入了主观性，并限制了可以从多普勒速度分布图中利用的信息。因此，我们的目标是开发一种几乎自动检测多普勒冠状动脉血流速度分布的技术，并自动计算常规和额外的振幅，导数和时间参数，并验证它与手动描记。共100例患者（17例正常人，15例严重冠状动脉狭窄，41例结缔组织病和27例糖尿病）进行了研究。线性相关和Bland-Altman分析表明，与手动测量相比，该方法具有高度的准确性和可重复性。组间比较证明了某些自动化参数的显著差异，因此代表了可用于微循环或冠状动脉疾病非侵入性诊断的潜在额外指标。
Coronary flow velocity reserve is obtained by manual tracings of transthoracic coronary Doppler flow velocity profiles as the ratio of stress versus baseline diastolic peak velocities. This approach introduces subjectivity in the measurements and limits the information which could be exploited from the Doppler velocity profile. Accordingly, our goals were to develop a technique for nearly automated detection of Doppler coronary flow velocity profile, and automatically compute both conventional and additional amplitude, derivative and temporal parameters, and validate it with manual tracings. A total of 100 patients (17 normals, 15 patients with severe coronary stenosis, 41 with connective tissue disease and 27 with diabetes mellitus) were studied. Linear correlation and Bland-Altman analyses showed that the proposed method was highly accurate and repeatable compared to the manual measurements. Comparison between groups evidenced significant differences in some of the automated parameters, thus representing potentially additional indices useful for the noninvasive diagnosis of microcirculatory or coronary artery disease.