Takayuki Iwamoto
   Department   Kawasaki Medical School  Kawasaki Medical School, Department of Breast and Thyroid Surgery,
   Position   Assistant Professor
Article types 原著
Language English
Peer review Peer reviewed
Title Comparison of Ki-67 labeling index measurements using digital image analysis and scoring by pathologists.
Journal Formal name:Breast cancer (Tokyo, Japan)
Abbreviation:Breast Cancer
ISSN code:18804233/13406868
Domestic / ForeginForegin
Volume, Issue, Page 25(6),pp.768-777
Author and coauthor Toru Morioka, Naoki Niikura, Nobue Kumaki, Shinobu Masuda, Takayuki Iwamoto, Kozue Yokoyama, Rin Ogiya, Risa Oshitanai, Mayako Terao, Banri Tsuda, Takuho Okamura, Yuki Saito, Yasuhiro Suzuki, Yutaka Tokuda
Publication date 2018/11
Summary BACKGROUND:Routine analysis of Ki-67 is not widely recommended for clinical decision-making because of poor reproducibility. Furthermore, counting numerous cells can be laborious for pathologists. Digital image analysis for immunohistochemical analysis was recently developed; however, the clinical efficacy of the Ki-67 index obtained using image analysis is unknown.METHODS:We retrospectively identified female patients with breast cancer with immunohistochemical Ki-67 and survival data using the pathology database at the Tokai University, Japan. Ki-67 expression was scored by three pathologists. Slides were scanned and converted to virtual slides; Ki-67-positive cells were counted using image analysis. Ki-67 indices obtained by the pathologist's scoring and image analysis were evaluated by 2 × 2 analysis. Relationships between Ki-67 index and survival outcomes were evaluated using the Kaplan-Meier method and compared using the log-rank test.RESULTS:Based on the 2 × 2 analysis, Ki-67 index obtained using image analysis was moderately correlated with the pathologist's scoring for all patients (κ 0.41; sensitivity, 0.573; specificity, 0.878). Poorer relapse-free survival was associated with high Ki-67 index than with low Ki-67 index for estrogen receptor-positive, human epidermal growth factor receptor 2-negative, and stage I or II patients scored by pathologists (p < 0.001) and obtained using image analysis (p = 0.031).CONCLUSIONS:The Ki-67 indices obtained using image analysis were moderately correlated with those scored by pathologists. Digital image analysis can be effective for measuring Ki-67 values, because they are associated with relapse-free survival in estrogen receptor-positive, human epidermal growth factor receptor 2-negative, and patients at stage I or II.
DOI 10.1007/s12282-018-0885-1
PMID 29959636