Magagnin V, Delfino L, Cerutti S, Turiel M, Caiani E G
Dipartimento di Bioingegneria, Politecnico di Milano, Piazza L da Vinci, 32, 20133, Milan, Italy.
Med Biol Eng Comput. 2007 May;45(5):483-93. doi: 10.1007/s11517-007-0178-x. Epub 2007 Apr 17.
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.
通过手动描绘经胸冠状动脉多普勒流速剖面图，将应激状态下与基线舒张期峰值流速之比作为冠状动脉血流速度储备。这种方法在测量中引入了主观性，并限制了可从多普勒流速剖面图中获取的信息。因此，我们的目标是开发一种用于近乎自动检测多普勒冠状动脉流速剖面图的技术，并自动计算传统的以及额外的幅度、导数和时间参数，并用手动描绘法对其进行验证。共研究了100例患者（17例正常者、15例严重冠状动脉狭窄患者、41例结缔组织病患者和27例糖尿病患者）。线性相关性分析和布兰德-奥特曼分析表明，与手动测量相比，所提出的方法具有高度准确性和可重复性。组间比较证明，一些自动测量参数存在显著差异，因此这些参数可能是用于微循环或冠状动脉疾病无创诊断的额外指标。
