Cho C R, Winslow J, Whiteside C, Lumsden C J
Department of Medicine, University of Toronto, Ontario, Canada.
J Electron Microsc Tech. 1991 Jul;18(3):249-61. doi: 10.1002/jemt.1060180307.
Many glomerulopathies are characterized by progressive mesangial (interstitial) expansion which can be quantitated by morphometric analysis. The purpose of this study was to analyze mesangial and glomerular volumes using a new computer-assisted reconstruction (CAR) method. CAR was compared to two standard planar methods, point-counting and linear integration, for accuracy and time efficiency. In Phase I of the study, a computer-based model of the mesangial space was created by placing spherical and ellipsoidal objects of known volume into an enclosing volume mimicking the glomerulus. The simulated mesangium occupied approximately 10 percent of the glomerular volume. The model glomerulus was sectioned serially into ten sections of equal thickness and the three morphometric methods applied to determine the mesangial/glomerular volume. The complexity of the mesangial model was varied by increasing the number of mesangial regions from one to ten to 100. The CAR method estimated the model mesangial volume more accurately (1-9 percent error) through each level of complexity compared to point-counting (3-17 percent error) and linear integration (3-18 percent error). The point-counting method consistently overestimated (P less than 0.05) the fractional mesangial volume for the ten- and 100-region mesangium models. In Phase II of the study, a normal rat glomerulus was sectioned serially (215 sections) and a transmission electron micrograph (TEM) of every fifth section (n = 43) was obtained. Each TEM image (2% of glomerular surface) was digitized for analysis by CAR. Point-counting and linear integration were also performed on the whole glomerular TEMs (n = 10, randomly chosen). The estimated relative mesangial/glomerular volume was 6.6 +/- 0.1 percent by CAR (mean +/- SD), 9.7 +/- 1.5 by linear integration, and 14.9 +/- 3.4 by point-counting. The point-counting method was most efficient, requiring 40 +/- 8 sec/section, followed by CAR at 85 +/- 24 sec/section. Linear integration was least efficient (93 +/- 23 sec/section). We conclude that CAR is the most accurate morphometric method of the three compared for estimating mesangial and glomerular methods, although it is more time consuming than the point-counting method and requires more complex instrumentation. CAR is the only method that will analyze the shape and three-dimensional complexity of glomerular structures using TEMs.
许多肾小球疾病的特征是系膜(间质)进行性扩张,这可以通过形态计量分析进行定量。本研究的目的是使用一种新的计算机辅助重建(CAR)方法分析系膜和肾小球体积。将CAR与两种标准平面方法(点计数法和线性积分法)在准确性和时间效率方面进行比较。在研究的第一阶段,通过将已知体积的球形和椭圆形物体放入模拟肾小球的封闭体积中,创建了一个基于计算机的系膜空间模型。模拟的系膜占据了肾小球体积的约10%。将模型肾小球连续切成十个等厚的切片,并应用三种形态计量方法来确定系膜/肾小球体积。通过将系膜区域的数量从一个增加到十个再到一百个,改变系膜模型的复杂性。与点计数法(误差3 - 17%)和线性积分法(误差3 - 18%)相比,CAR方法在每个复杂程度水平上估计模型系膜体积更准确(误差1 - 9%)。对于十个和一百个区域的系膜模型,点计数法始终高估(P小于0.05)系膜分数体积。在研究的第二阶段,将一个正常大鼠肾小球连续切片(215个切片),并获得每隔五个切片(n = 43)的透射电子显微镜(TEM)图像。每个TEM图像(肾小球表面的2%)进行数字化处理,以便通过CAR进行分析。还对整个肾小球的TEM图像(n = 10,随机选择)进行了点计数和线性积分。通过CAR估计的相对系膜/肾小球体积为6.6 +/- 0.1%(平均值 +/- 标准差),线性积分法为9.7 +/- 1.5,点计数法为14.9 +/- 3.4。点计数法效率最高,每个切片需要40 +/- 8秒,其次是CAR,每个切片需要85 +/- 24秒。线性积分法效率最低(93 +/- 23秒/切片)。我们得出结论认为,在比较的三种方法中,CAR是估计系膜和肾小球体积最准确的形态计量方法,尽管它比点计数法更耗时,并且需要更复杂的仪器设备。CAR是唯一一种能够使用TEM分析肾小球结构的形状和三维复杂性的方法。