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Persistent homology index as a robust quantitative measure of immunohistochemical scoring


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タイトル: Persistent homology index as a robust quantitative measure of immunohistochemical scoring
著者: Takiyama, Akihiro 著作を一覧する
Teramoto, Takashi 著作を一覧する
Suzuki, Hiroaki 著作を一覧する
Yamashiro, Katsushige 著作を一覧する
Tanaka, Shinya 著作を一覧する
発行日: 2017年10月25日
出版者: Nature Publishing Group
誌名: Scientific reports
巻: 7
開始ページ: 14002
出版社 DOI: 10.1038/s41598-017-14392-y
抄録: Immunohistochemical data (IHC) plays an important role in clinical practice, and is typically gathered in a semi-quantitative fashion that relies on some degree of visual scoring. However, visual scoring by a pathologist is inherently subjective and manifests both intra-observer and inter-observer variability. In this study, we introduce a novel computer-aided quantification methodology for immunohistochemical scoring that uses the algebraic concept of persistent homology. Using 8 bit grayscale image data derived from 90 specimens of invasive ductal carcinoma of the breast, stained for the replicative marker Ki-67, we computed homology classes. These were then compared to nuclear grades and the Ki-67 labeling indices obtained by visual scoring. Three metrics for IHC staining were newly defined: Persistent Homology Index (PHI), center coordinates of positive and negative groups, and the sum of squares within groups (WSS). This study demonstrates that PHI, a novel index for immunohistochemical labeling using persistent homology, can produce highly similar data to that generated by a pathologist using visual evaluation. The potential benefits associated with our novel technology include both improved quantification and reproducibility. Since our method reflects cellularity and nuclear atypia, it carries a greater quantity of biologic data compared to conventional evaluation using Ki-67.
資料タイプ: article
出現コレクション:雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

提供者: 瀧山 晃弘


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