Ariet M, Geiser E A, Lupkiewicz S M, Conetta D A, Conti C R
Am J Cardiol. 1984 Aug 1;54(3):415-20. doi: 10.1016/0002-9149(84)90208-x.
This study tests the accuracy of a model to calculate left ventricular volume (LVV) and muscle volume (MV) when optimal data were used. These volumes were calculated using endocardial and epicardial borders traced from photos of cross sections of 20 animal (dog, goat and pig) hearts. A pyramid summation algorithm was used to perform a 3-dimensional (3-D) reconstruction based on 5 short-axis views, thus providing computer volume estimates. These were compared with the true (T) ventricular volumes determined by water filling of the cavity and the true MV based on weight. Because each heart was sliced in 5 planes, the appropriateness of the algorithm for MV could be tested for 6 regions. The pyramid summation algorithm consistently underestimated MV at the base and apex, but was accurate from the midmitral valve to the inferior papillary muscle region. Consequently, the total MV was computed as the midventricular MV, plus base and apex volumes computed from regression equations. Results showed that 3-D reconstruction resulted in a regression of LVVT = 1.02LVV3D + 10.30 ml with r = 0.987 for the chamber of MVT = 1.05 MV3D - 9.78 ml, with r = 0.967. It is concluded that the pyramid summation algorithm can accurately estimate volumes from spatially registered short-axis data with 95% prediction limits about the mean of the data of +/- 10 ml for left ventricular chamber volume and +/- 17.6 ml for MV.
本研究测试了在使用最佳数据时计算左心室容积（LVV）和心肌容积（MV）的模型的准确性。这些容积是通过追踪20个动物（狗、山羊和猪）心脏横截面照片的心内膜和心外膜边界来计算的。使用金字塔求和算法基于5个短轴视图进行三维（3-D）重建，从而提供计算机容积估计值。将这些估计值与通过腔室注水确定的真实（T）心室容积以及基于重量的真实MV进行比较。由于每个心脏被切成5个平面，因此可以针对6个区域测试该算法对MV的适用性。金字塔求和算法始终低估了基部和心尖处的MV，但从中二尖瓣到下乳头肌区域是准确的。因此，总MV计算为心室中部MV加上根据回归方程计算的基部和心尖容积。结果表明，对于心室腔，3-D重建导致LVVT = 1.02LVV3D + 10.30 ml的回归，r = 0.987；对于MV，MVT = 1.05 MV3D - 9.78 ml，r = 0.967。结论是，金字塔求和算法可以根据空间配准的短轴数据准确估计容积，对于左心室腔容积，预测极限在数据均值的±10 ml范围内，对于MV在±17.6 ml范围内。
