REPRODUCIBILITY OF Ki67 INDEX ASSESSMENT IN INVASIVE BREAST CARCINOMAS USING DIFFERENT TYPES OF DIGITAL IMAGE ANALYSIS SOFTWARE
DOI: 10.22138/2500-0918-2018-15-6-854-859
V.A. Kushnarev, A.G. Kudaibergenova
NMRC of Oncology named after N.N. Petrov, St. Petersburg, Russian Federation
Abstract. The reproducibility of assessing immunohistochemical markers is a well-known problem. Especially burning this problem becomes when assessing immunohistochemical biomarkers using different methods and interpreting the results in connection with the choice of therapy. Digital image analysis allows to standardize the assessment of immunohistochemical biomarkers and to increase inter-research and inter-laboratory reproducibility. Standardization of the K67 index is necessary for clinical practice. Objective. To analyze the reproducibility of the algorithms for evaluating the Ki67 index of proliferative activity based on NuclearQuant software (3D Histech) and QuPath. Material and methods. 100 invasive breast carcinomas, regardless of the expression status of HER2, ER, PR with the degree of histological malignancy G2-G3, were subjected to standard morphological examination, scanning and digital analysis of the proliferative activity (Ki67 index). Results. We have demonstrated that the algorithms for analyzing the index of Ki67 using different software applications, such as QuPath and NuclearQuant (3D Histech), were reproducible among themselves. The reproducibility between the analysis modules of the program was high (ICC 0.93), and the analysis speed was significantly higher for the QuPath module. Conclusion. The use of digital image analysis methods based on free software products allows increasing the reproducibility of this biomarker.
Keywords: Ki67, carcinoma, cancer, digital image analysis, QuPath, breast cancer
There is no conflict of interest.
Contact details of the corresponding author:
Vladimir A. Kushnarev
kushnarevvladimir1@gmail.com
Received 21.12.2018
For citation:
Kushnarev V.A., Kudaibergenova A.G. Reproducibility of Ki67 index assessment in invasive breast carcinomas using different types of digital image analysis software. Vestn. Ural. Med. Akad. Nauki. = Journal of Ural Medical Academic Science. 2018, Vol. 15, no. 6, pp. 854–859. DOI: 10.22138/2500-0918-2018-15-6-854-859 (In Russ).
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Authors:
Vladimir A. Kushnarev
PhD student in the Scientific Laboratory of Tumor Morphology
orcid.org/0000-0003-4608-9349
kushnarevvladimir1@gmail.com
Assel G. Kudaybergenova
Cand. Sci. (Med.), Senior Researcher of the Scientific Laboratory of Tumor Morphology
http://orcid.org/0000-0001-7797-088X
asel1972@mail.ru
N.N. Petrov National Medical Research Center of Oncology Ministry of Health of Russia
Leningradskaya Str. 68, Pesochny, St. Petersburg, Russian Federation, 197758
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)