An algorithm to evaluate the number of trabecular cell layers using nucleus arrangement applied to hepatocellular carcinoma

Hideki Komagata; Naoki Kobayashi; Ayako Katoh; Yasuka Ohnuki; Masahiro Ishikawa; Kazuma Shinoda; Masahiro Yamaguchi; Tokiya Abe; Akinori Hashiguchi; Michiie Sakamoto

doi:10.1117/12.2006319

29 March 2013 An algorithm to evaluate the number of trabecular cell layers using nucleus arrangement applied to hepatocellular carcinoma

Hideki Komagata, Naoki Kobayashi, Ayako Katoh, Yasuka Ohnuki, Masahiro Ishikawa, Kazuma Shinoda, Masahiro Yamaguchi, Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto

Author Affiliations +

Proceedings Volume 8676, Medical Imaging 2013: Digital Pathology; 86760M (2013) https://doi.org/10.1117/12.2006319
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Recent advances in information technology have improved pathological virtual-slide technology and diagnostic support system studies of pathological images. Diagnostic support systems utilize quantitative indices determined by image processing. In previous studies on diagnostic support systems, carcinomatous areas of breast or lung have been recognized by the feature quantities of nuclear sizes, complexities, and internuclear distances based on graph theory, among other features. Improving recognition accuracy is important for the addition of new feature quantities. We focused on hepatocellular carcinoma (HCC) and investigated new feature quantities of histological images of HCC. One of the most important histological features of HCC is the trabecular pattern. For diagnosing cancer, it is important to recognize the tumor cell trabeculae. We propose a new algorithm for calculating the number of cell layers in histological images of HCC in tissue sections stained by hematoxylin and eosin. For the calculation, we used a Delaunay diagram that was based on the median points of nuclei, deleted the sinusoid and fat droplet regions from the Delaunay diagram, and counted the Delaunay lines while applying a thinning algorithm. Moreover, we experimented with the calculation of the number of cell layers with our method for different histological grades of HCC. The number of cell layers discriminated tumor differentiations and Edmondson grades; therefore, our algorithm may serve as an index of HCC for diagnostic support systems.

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Hideki Komagata, Naoki Kobayashi, Ayako Katoh, Yasuka Ohnuki, Masahiro Ishikawa, Kazuma Shinoda, Masahiro Yamaguchi, Tokiya Abe, Akinori Hashiguchi, and Michiie Sakamoto "An algorithm to evaluate the number of trabecular cell layers using nucleus arrangement applied to hepatocellular carcinoma", Proc. SPIE 8676, Medical Imaging 2013: Digital Pathology, 86760M (29 March 2013); https://doi.org/10.1117/12.2006319

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