Cross S S, Howat A J, Stephenson T J, Cotton D W, Underwood J C
Department of Pathology, University of Sheffield Medical School, U.K.
J Pathol. 1994 Jun;173(2):115-8. doi: 10.1002/path.1711730207.
Histological sections from 25 non-molar pregnancies, nine partial hydatidiform moles, and 16 complete hydatidiform moles were examined (diagnosis was taken as the consensus of seven experienced histopathologists) and the fractal dimension was measured using a box-counting method implemented on a microcomputer-based image analysis system. The fractal dimensions of the different diagnostic categories were normally distributed with a mean of 1.50 for non-molar pregnancies, 1.44 for partial moles, and 1.42 for complete moles. All the measured fractal dimensions were greater than the topological dimension (1), demonstrating that the specimens had a fractal element to their structure. There was a significant difference between the fractal dimensions of non-molar pregnancies and complete moles (P = 0.0005), but not between partial moles and non-molar pregnancies (P = 0.0823) or complete and partial moles (P = 0.4400). Using the fractal dimension to predict the histopathological diagnosis assigned 56 per cent of the cases to the correct category with a kappa statistic of 0.26, so the fractal dimension, used alone, is not a useful morphometric discriminant in the diagnosis of molar and non-molar pregnancy.
对25例非葡萄胎妊娠、9例部分性葡萄胎和16例完全性葡萄胎的组织切片进行了检查（诊断由7位经验丰富的组织病理学家达成共识确定），并使用基于微机的图像分析系统上实施的盒计数法测量分形维数。不同诊断类别的分形维数呈正态分布，非葡萄胎妊娠的平均分为1.50，部分性葡萄胎为1.44，完全性葡萄胎为1.42。所有测量的分形维数均大于拓扑维数（1），表明标本结构具有分形元素。非葡萄胎妊娠与完全性葡萄胎的分形维数之间存在显著差异（P = 0.0005），但部分性葡萄胎与非葡萄胎妊娠之间（P = 0.0823）或完全性与部分性葡萄胎之间（P = 0.4400）无显著差异。使用分形维数预测组织病理学诊断时，56%的病例被归入正确类别，kappa统计量为0.26，因此单独使用分形维数在葡萄胎和非葡萄胎妊娠的诊断中不是一个有用的形态计量判别指标。
