Reproducibility and Prognostic Potential of Ki-67 Proliferation Index when Comparing Digital-Image Analysis with Standard Semi-Quantitative Evaluation in Breast Cancer

Pathology oncology research: POR

Lilla Madaras¹  Balázs Ács² 

[1] MTA-TTK Lendület Cancer Biomarker Research Group;Semmelweis University

关键词: Ki-67 proliferation index;    Breast cancer;    Digital image analysis;    Intra-class correlation;    Concordance correlation;    Prognosis;   

DOI  :  10.1007/s12253-017-0220-8

学科分类：生理学与病理学

来源: Springer

【 摘 要 】

In this study, the reproducibility of Ki-67 proliferation index (KIPI) was investigated by comparing the semi-quantitative (SQ) results of three assessors with those of digital image-analysis (DIA) methods. The prognostic significance of the two approaches was also correlated with clinical outcome. Tissue microarrays of duplicate 2 mm cores were constructed from representative areas of formalin-fixed and paraffin-embedded tumor blocks of 347 breast cancer patients. SQ evaluation of Ki-67 (MIB1 clone) immunostained slides was performed independently by three pathologists. DIA was completed using a fully automated histological pattern and cell recognition module for KIPI detection (DIA-1) and an adjustable module (DIA-2) with the possibility of manual corrections. To compare SQ and DIA evaluations intra-class correlation (ICC) and concordance correlation coefficients (CCC) were determined. The three SQ evaluations demonstrated a remarkable ICC (0.853). Significant difference and poor concordance occurred between SQ-1 and SQ-2 as well as between SQ-1 and SQ-3 (p ≤ 0.001, CCC ≤ 0.827 for both comparisons). Thus, the reference KIPI value (SQ-RV) was generated from the mean values of SQ-2 and SQ-3. SQ-RV and DIA-2 results showed substantial concordance (CCC = 0.963, at p = 0.754), while SQ-RV and DIA-1 values differed (p ≤ 0.001) at only moderate concordance (CCC = 0.906). In multivariate analysis, lymph node status and SQ-2 assessment were significantly associated with clinical outcome (p ≤ 0.012 for both comparisons). Our results confirm that KIPI is a significant prognostic marker in breast cancer, which can be can be reliably reproduced by using an adjustable DIA-2 image analysis module.

【 授权许可】

CC BY