Paper
27 April 2000 Quantitative architectural analysis of bronchial intraepithelial neoplasia
Martial Guillaud, Calum E. MacAulay, Jean C. Le Riche, Chris Dawe, Jagoda Korbelik, Stephen Lam
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Abstract
Considerable variation exists among pathologist in the interpretation of intraepithelial neoplasia making it difficult to determine the natural history of these lesion and to establish management guidelines for chemoprevention. The aim of the study is to evaluate architectural features of pre-neoplastic progression in lung cancer, and to search for a correlation between architectural index and conventional pathology. Quantitative architectural analysis was performed on a series of normal lung biopsies and Carcinoma In Situ (CIS). Centers of gravity of the nuclei within a pre-defined region of interest were used as seeds to generate a Voronoi Diagram. About 30 features derived from the Voronoi diagram, its dual the Delaunay tessellation, and the Minimum Spanning Tree were extracted. A discriminant analysis was performed to separate between the two groups. The architectural Index was calculated for each of the bronchial biopsies that were interpreted as hyperplasia, metaplasia, mild, moderate or severe dysplasia by conventional histopathology criteria. As a group, lesions classified as CIS by conventional histopathology criteria could be distinguished from dysplasia using the architectural Index. Metaplasia was distinct from hyperplasia and hyperplasia from normal. There was overlap between severe and moderate dysplasia but mild dysplasia could be distinguished form moderate dysplasia. Bronchial intraepithelial neoplastic lesions can be degraded objectively by architectural features. Combination of architectural features and nuclear morphometric features may improve the quantitation of the changes occurring during the intra-epithelial neoplastic process.
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Martial Guillaud, Calum E. MacAulay, Jean C. Le Riche, Chris Dawe, Jagoda Korbelik, and Stephen Lam "Quantitative architectural analysis of bronchial intraepithelial neoplasia", Proc. SPIE 3921, Optical Diagnostics of Living Cells III, (27 April 2000); https://doi.org/10.1117/12.384231
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KEYWORDS
Biopsy

Pathology

Tissues

Biological research

Cancer

Lung cancer

Statistical analysis

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