| タイトル |
-
en
Persistent homology index as a robust quantitative measure of immunohistochemical scoring
|
| 作成者 |
|
| アクセス権 |
open access |
| 権利情報 |
|
| 主題 |
|
| 内容注記 |
-
Abstract
en
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.
|
| 出版者 |
en
Nature Publishing Group
|
| 日付 |
|
| 言語 |
|
| 資源タイプ |
journal article |
| 出版タイプ |
VoR |
| 資源識別子 |
HDL
http://hdl.handle.net/2115/67995
|
| 関連 |
-
isIdenticalTo
DOI
https://doi.org/10.1038/s41598-017-14392-y
|
| 収録誌情報 |
-
-
en
Scientific reports
-
巻7
開始ページ14002
|
| ファイル |
|
| コンテンツ更新日時 |
2023-07-26 |
