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Discriminant analysis and interpretation of nuclear chromatin distribution and coarseness using gray-level co-occurrence matrix features for lobular endocervical glandular hyperplasia.
Kanai, Ryo; Ohshima, Kengo; Ishii, Keiko; Sonohara, Masaki; Ishikawa, Masahiro; Yamaguchi, Masahiro; Ohtani, Yuhi; Kobayashi, Yukihiro; Ota, Hiroyoshi; Kimura, Fumikazu.
Afiliación
  • Kanai R; Department of Biomedical Laboratory Sciences, School of Health Sciences, Shinshu University, Matsumoto, Japan.
  • Ohshima K; Department of Biomedical Laboratory Sciences, School of Health Sciences, Shinshu University, Matsumoto, Japan.
  • Ishii K; Division of Diagnostic Pathology, Okaya City Hospital, Okaya, Japan.
  • Sonohara M; Department of Biomedical Laboratory Sciences, School of Health Sciences, Shinshu University, Matsumoto, Japan.
  • Ishikawa M; Faculty of Health & Medical Care, Saitama Medical University, Hidaka, Japan.
  • Yamaguchi M; Department of Information Processing, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan.
  • Ohtani Y; Department of Information Processing, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan.
  • Kobayashi Y; Department of Laboratory Medicine, Shinshu University Hospital, Matsumoto, Japan.
  • Ota H; Department of Biomedical Laboratory Sciences, School of Health Sciences, Shinshu University, Matsumoto, Japan.
  • Kimura F; Department of Biomedical Laboratory Sciences, School of Health Sciences, Shinshu University, Matsumoto, Japan.
Diagn Cytopathol ; 48(8): 724-735, 2020 Aug.
Article en En | MEDLINE | ID: mdl-32374944
BACKGROUND: Lobular endocervical glandular hyperplasia (LEGH) is a disease considered to be the origin of tumorigenesis of minimal deviation adenocarcinoma, which has characteristic expression in the gastric pyloric mucosa. It is difficult to diagnose by nuclear findings because of lower nuclear atypia. In this study, nuclei of endocervical (EC) and LEGH cells were digitized, and nuclear information was quantified from nuclear images and objectively evaluated using a computer. We examined whether it is possible to distinguish between EC and LEGH cells, which is difficult by human eyes. METHODS: Signal intensity, morphological features, Otsu thresholding technique and gray-level co-occurrence matrix (GLCM) features were calculated from nuclei of EC and LEGH cells on cytology microscopic images. Then, discriminant analysis was performed using the significant difference test and linear support vector machine (LSVM). RESULTS: GLCM features in LEGH cells were higher than those in EC cells. The nuclei of LEGH cells had a higher frequency of signal value pairs with a larger signal value difference than that of EC cells. Therefore, LEGH cell nuclei are thought to have more chromatin granules, and the chromatin is coarse and granular. Moreover, in the LSVM discriminant analysis, the accuracy of GLCM calculated using these features was 85.4%. CONCLUSION: In this study, GLCM accurately demonstrated the nuclear chromatin distribution and coarseness. Discriminant analysis of EC and LEGH cells using GLCM features is useful.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cromatina / Interpretación de Imagen Asistida por Computador / Adenocarcinoma / Neoplasias del Cuello Uterino / Máquina de Vectores de Soporte Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Diagn Cytopathol Asunto de la revista: PATOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cromatina / Interpretación de Imagen Asistida por Computador / Adenocarcinoma / Neoplasias del Cuello Uterino / Máquina de Vectores de Soporte Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Diagn Cytopathol Asunto de la revista: PATOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Estados Unidos