Erler B S, Truong H M, Kim S S, Huh M H, Geller S A, Marchevsky A M
Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California 90048.
Am J Clin Pathol. 1993 Aug;100(2):151-7. doi: 10.1093/ajcp/100.2.151.
Hepatocellular carcinoma is often difficult to diagnose in cytologic material and biopsy specimens. To demonstrate the utility of image analysis in discriminating benign and malignant hepatocytes, 42 malignant cell groups were compared with 26 benign cell groups with a wide range of nuclear morphology in hematoxylin and eosin-stained histologic sections from 42 patients with hepatocellular carcinoma. Nuclear measurements were performed with a relatively inexpensive microcomputer-based image analysis system using a highly flexible imaging software package. Twenty-two nuclear morphometric and densitometric parameters were evaluated. The best single discriminator of benign and malignant cells was the nuclear major axis. Classification of the test samples using optimized linear discriminant functions achieved the following positive predictive values (PV+) and negative predictive values (PV-) for hepatocellular carcinoma: 95.0% PV+ and 85.7% PV- for the major axis; 90.5% PV+ and 84.6% PV- for five densitometric parameters; 100% PV+ and 86.7% PV- for three morphometric parameters; and 95.5% PV+ and 100% PV- for nine combined morphometric/densitometric parameters. These results demonstrate that multivariate linear discriminant functions of nuclear features measured by image analysis can be used to classify benign and malignant hepatocytes accurately.
肝细胞癌在细胞学材料和活检标本中往往难以诊断。为了证明图像分析在鉴别良性和恶性肝细胞方面的效用，将42例肝细胞癌患者苏木精-伊红染色组织切片中42个恶性细胞组与26个具有广泛核形态的良性细胞组进行了比较。使用基于微机的相对廉价的图像分析系统，借助高度灵活的成像软件包进行核测量。评估了22个核形态测量和光密度测量参数。良性和恶性细胞的最佳单一鉴别指标是核长轴。使用优化的线性判别函数对测试样本进行分类，肝细胞癌的阳性预测值（PV+）和阴性预测值（PV-）如下：核长轴的PV+为95.0%，PV-为85.7%；五个光密度测量参数的PV+为90.5%，PV-为84.6%；三个形态测量参数的PV+为100%，PV-为86.7%；九个形态测量/光密度测量参数组合的PV+为95.5%，PV-为100%。这些结果表明，通过图像分析测量的核特征的多变量线性判别函数可用于准确分类良性和恶性肝细胞。
