Ki-67 Index Measurement in Breast Cancer Using Digital Image Analysis

TL;DR

This paper introduces a digital image analysis method for measuring the Ki-67 index in breast cancer, improving efficiency, accuracy, and reproducibility over traditional manual assessment methods.

Contribution

The study presents a novel digital image processing technique for Ki-67 index measurement, validated with high accuracy on breast cancer specimens.

Findings

High correlation (r = 0.95127) with manual assessment.

Enhanced efficiency and reproducibility in Ki-67 index measurement.

Potential for standardizing Ki-67 scoring in clinical practice.

Abstract

Ki-67 is a nuclear protein that can be produced during cell proliferation. The Ki67 index is a valuable prognostic variable in several kinds of cancer. In breast cancer, the index is even routinely checked in many patients. Currently, pathologists use the immunohistochemistry method to calculate the percentage of Ki-67 positive malignant cells as Ki-67 index. The higher score usually means more aggressive tumor behavior. In clinical practice, the measurement of Ki-67 index relies on visual identifying method and manual counting. However, visual and manual assessment method is timeconsuming and leads to poor reproducibility because of different scoring standards or limited tumor area under assessment. Here, we use digital image processing technics including image binarization and image morphological operations to create a digital image analysis method to interpretate Ki-67 index. Then, 10 breast cancer specimens are used as validation with high accuracy (correlation efficiency r = 0.95127). With the assistance of digital image analysis, pathologists can interpretate the Ki67 index more efficiently, precisely with excellent reproducibility.