Pearlman J D, Hogan R D, Wiske P S, Franklin T D, Weyman A E
Massachusetts General Hospital, Cardiac Ultrasound Laboratory, Boston.
J Am Coll Cardiol. 1990 Oct;16(4):986-92. doi: 10.1016/s0735-1097(10)80352-3.
Quantitation of myocardial contraction requires a frame of reference. Most investigators have sought a single reference frame per image, centered in some manner with respect to the mass of myocardium. Because there is no anatomic marker for the center of the heart, many different approaches have been pursued to identify a centroid of the left ventricle. The issue of whether the reference should be fixed throughout the cardiac cycle or float from image to image has been addressed in previous studies, but the more fundamental question of how a centroid can best be defined has not been answered. This study examines this basic issue by analysis of variance from observer to observer, cycle to cycle, animal to animal and method to method. Both endocardial and epicardial borders were digitized twice by each of two observers at 1/30 s intervals spanning the cardiac cycle for each of three cardiac cycles in six normal dogs. The left ventricular centroid was calculated by six methods: center of endocardial coordinates, center of epicardial coordinates, center of mid-myocardial (average) coordinates, center of endocardial area, center of epicardial area and center of mid-myocardial (average) area. The path of each centroid was correlated between observers and correlation coefficients were transformed for analysis of variance. This analysis indicates a best approach to centroid definition through distinct minimization of the variance: the best of the six methods proved to be center of endocardial area.
心肌收缩的定量需要一个参考框架。大多数研究者在每张图像中寻找一个单一的参考框架,该框架以某种方式相对于心肌质量居中。由于心脏中心没有解剖学标记,人们采用了许多不同的方法来确定左心室的质心。之前的研究已经探讨了参考框架在整个心动周期中是否应该固定,还是在图像之间浮动的问题,但如何最好地定义质心这个更基本的问题尚未得到解答。本研究通过分析不同观察者、不同心动周期、不同动物和不同方法之间的方差来研究这个基本问题。在六只正常犬的三个心动周期中,两位观察者分别以1/30秒的间隔对心内膜和心外膜边界进行了两次数字化处理。通过六种方法计算左心室质心:心内膜坐标中心、心外膜坐标中心、心肌中层(平均)坐标中心、心内膜面积中心、心外膜面积中心和心肌中层(平均)面积中心。对每个质心的轨迹在观察者之间进行相关性分析,并对相关系数进行变换以进行方差分析。该分析表明,通过显著最小化方差可以找到定义质心的最佳方法:六种方法中最好的是心内膜面积中心。