Beil M, Irinopoulou T, Vassy J, Rigaut J P
Laboratory of Image Analysis in Cell Pathology, Hospital Saint Louis, University of Paris, France.
Anal Quant Cytol Histol. 1995 Oct;17(5):323-31.
Three-dimensional (3D) images of tissue blocs can be obtained through optical sectioning by a confocal scanning laser microscope and by piling up of consecutive confocal planes. These images offer the opportunity to quantitate biologic structures (i.e., nuclear chromatin) in 3D. Chromatin texture analysis is regarded as a key element in nuclear grading of malignant lesions. The present study introduced a new method of structural texture analysis of 3D chromatin distribution in cell nuclei. The method was assessed for its validity in a pilot study.
The study group consisted of 300 3D cell nuclei from prostatic lesions, 100 each of hyperplasia, dysplasia and well-differentiated carcinoma. A set of 15 texture features was studied for its classification capability in a discriminant analysis.
A classifier that confined three texture features yielded a classification accuracy of 91.7% for the training set (60 nuclei). The classification accuracy for the test set (240 nuclei) was 93.3%.
The new method demonstrated its potential for 3D chromatin analysis. Further studies on large numbers of cases are necessary to evaluate the use of 3D nuclear grading for diagnostic pathology.
通过共聚焦扫描激光显微镜进行光学切片并叠加连续的共聚焦平面，可以获得组织块的三维（3D）图像。这些图像为在三维空间中定量生物结构（即核染色质）提供了机会。染色质纹理分析被认为是恶性病变核分级的关键要素。本研究介绍了一种对细胞核中三维染色质分布进行结构纹理分析的新方法。在一项初步研究中对该方法的有效性进行了评估。
研究组由来自前列腺病变的300个三维细胞核组成，其中增生、发育异常和高分化癌各100个。在判别分析中研究了一组15个纹理特征的分类能力。
一个限定了三个纹理特征的分类器对训练集（60个细胞核）的分类准确率为91.7%。对测试集（240个细胞核）的分类准确率为93.3%。
新方法展示了其在三维染色质分析中的潜力。有必要对大量病例进行进一步研究，以评估三维核分级在诊断病理学中的应用。
