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A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
Chai Ling Teoh1, Xiao Jian Tan1,2,3, Khairul Shakir Ab Rahman4
1Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, Tunku Abdul Rahman University of Management and Technology (TAR UMT), Jalan Genting Kelang, Setapak, Kuala Lumpur 53300, Malaysia.
Diagnostics (Basel, Switzerland)
|September 28, 2024
Summary
This study introduces the Harmonic Mean (HM) equation to quantify nuclear pleomorphism in breast cancer grading. The novel method accurately measures nuclear size, shape, and appearance for improved breast cancer assessment.
Area of Science:
- Oncology
- Pathology
- Biostatistics
Background:
- Nuclear pleomorphism is key for breast cancer grading but lacks precise quantification.
- The Nottingham Histopathology Grading (NHG) system relies on subjective assessment of nuclear pleomorphism.
Purpose of the Study:
- To develop and validate a quantitative method for assessing nuclear pleomorphism in breast cancer.
- To establish correlations between morphological features and NHG scores.
- To introduce the Harmonic Mean (HM) equation for objective nuclear pleomorphism measurement.
Main Methods:
- Deconstruction of nuclear pleomorphism into size, shape, and appearance.
- Mathematical modeling of these elements into ESize, EShape, and EAppearance equations.
- Integration into the unified Harmonic Mean (HM) model.
Main Results:
- The HM model achieved high performance with Accuracy (0.97), Recall (0.96), Specificity (0.97), Precision (0.94), and F1-score (0.95).
- The HM equation effectively differentiates between nuclear pleomorphism scores.
Conclusions:
- The Harmonic Mean (HM) equation offers a novel and precise method for quantifying nuclear pleomorphism in breast cancer.
- This quantitative approach can enhance the objectivity and accuracy of breast cancer grading.
