通过细胞核的三维形态分析对肾细胞癌进行分级

Grading of renal cell carcinoma by 3D morphological analysis of cell nuclei.

作者信息

Choi Hyun-Ju, Choi Heung-Kook

机构信息

BK21 Medical Science Education Center, School of Medicine, Pusan National University, Pusan, Republic of Korea.

出版信息

Comput Biol Med. 2007 Sep;37(9):1334-41. doi: 10.1016/j.compbiomed.2006.12.008. Epub 2007 Feb 28.

DOI:10.1016/j.compbiomed.2006.12.008

PMID:17331492

Abstract

This study attempted to develop a method for 3D visualization and quantitative analysis of cell nuclei for renal cell carcinoma (RCC) grading and evaluated the feasibility of such quantitative analysis. We compared the correct classification rate (CCR) for each of the classifiers based on the 2D features of cell nuclei (diameter, area, perimeter, and circularity) and the 3D features of cell nuclei (volume, surface area, and spherical shape factor). The results showed that the classifier using the 3D features provided better results for grading. Our method could overcome the limitations inherent in 2D analysis and could improve the accuracy and reproducibility of quantification of cell nuclei.

摘要

本研究试图开发一种用于肾细胞癌（RCC）分级的细胞核三维可视化和定量分析方法，并评估这种定量分析的可行性。我们基于细胞核的二维特征（直径、面积、周长和圆形度）和三维特征（体积、表面积和球形形状因子）比较了每个分类器的正确分类率（CCR）。结果表明，使用三维特征的分类器在分级方面提供了更好的结果。我们的方法可以克服二维分析固有的局限性，并可以提高细胞核定量的准确性和可重复性。