29 March 2013 An algorithm to evaluate the number of trabecular cell layers using nucleus arrangement applied to hepatocellular carcinoma
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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
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hideki Komagata, Hideki Komagata, Naoki Kobayashi, Naoki Kobayashi, Ayako Katoh, Ayako Katoh, Yasuka Ohnuki, Yasuka Ohnuki, Masahiro Ishikawa, Masahiro Ishikawa, Kazuma Shinoda, Kazuma Shinoda, Masahiro Yamaguchi, Masahiro Yamaguchi, Tokiya Abe, Tokiya Abe, Akinori Hashiguchi, Akinori Hashiguchi, Michiie Sakamoto, 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); doi: 10.1117/12.2006319; https://doi.org/10.1117/12.2006319

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