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

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 t...

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Bibliographic Details
Published in:Computers in biology and medicine 2007-09, Vol.37 (9), p.1334-1341
Main Authors: Choi, Hyun-Ju, Choi, Heung-Kook
Format: Article
Language:English
Subjects:
3D feature extraction
3D quantitative analysis
3D visualization
Algorithms
Carcinoma, Renal Cell - pathology
Cell Nucleus - pathology
Confocal laser scanning microscopy
Humans
Imaging, Three-Dimensional - methods
Internal Medicine
Kidney Neoplasms - pathology
Microscopy, Confocal
Nuclear grading system
Other
Renal cell carcinoma
Reproducibility of Results
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Summary: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.
ISSN:0010-4825
1879-0534
DOI:10.1016/j.compbiomed.2006.12.008