A quantitative measurement method for nuclear-pleomorphism scoring in breast cancer

Background/Objectives: Nuclear pleomorphism, a crucial determinant of breast cancer grading under the Nottingham Histopathology Grading (NHG) system, remains inadequately quantified in the existing literature. Motivated by this gap, our study seeks to investigate and establish correlations among mor...

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Main Authors: Teoh, Chai Ling, Tan, Xiao Jian, Ab Rahman, Khairul Shakir, Bakrin, Ikmal Hisyam, Goh, Kam Meng, Siet, Joseph Jiun Wen, Wan Muhamad, Wan Zuki Azman
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute 2024
Online Access:http://psasir.upm.edu.my/id/eprint/114647/1/114647.pdf
http://psasir.upm.edu.my/id/eprint/114647/
https://www.mdpi.com/2075-4418/14/18/2045
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spelling my.upm.eprints.1146472025-01-22T06:58:49Z http://psasir.upm.edu.my/id/eprint/114647/ A quantitative measurement method for nuclear-pleomorphism scoring in breast cancer Teoh, Chai Ling Tan, Xiao Jian Ab Rahman, Khairul Shakir Bakrin, Ikmal Hisyam Goh, Kam Meng Siet, Joseph Jiun Wen Wan Muhamad, Wan Zuki Azman Background/Objectives: Nuclear pleomorphism, a crucial determinant of breast cancer grading under the Nottingham Histopathology Grading (NHG) system, remains inadequately quantified in the existing literature. Motivated by this gap, our study seeks to investigate and establish correlations among morphological features across various scores of nuclear pleomorphism, as per the NHG system. We aim to quantify nuclear pleomorphism across these scores and validate our proposed measurement method against ground-truth data. Methods: Initially, we deconstruct the descriptions of nuclear pleomorphism into three core elements: size, shape, and appearance. These elements are subsequently mathematically modeled into equations, termed (Formula presented.), (Formula presented.), and (Formula presented.). These equations are then integrated into a unified model termed Harmonic Mean (HM). The HM equation yields a value approaching 1 for nuclei demonstrating characteristics of score-3 nuclear pleomorphism and near 0 for those exhibiting features of score-1 nuclear pleomorphism. Results: The proposed HM model demonstrates promising performance metrics, including Accuracy, Recall, Specificity, Precision, and F1-score, with values of 0.97, 0.96, 0.97, 0.94, and 0.95, respectively. Conclusions: In summary, this study proposes the HM equation as a novel feature for the precise quantification of nuclear pleomorphism in breast cancer. Multidisciplinary Digital Publishing Institute 2024-09-14 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/114647/1/114647.pdf Teoh, Chai Ling and Tan, Xiao Jian and Ab Rahman, Khairul Shakir and Bakrin, Ikmal Hisyam and Goh, Kam Meng and Siet, Joseph Jiun Wen and Wan Muhamad, Wan Zuki Azman (2024) A quantitative measurement method for nuclear-pleomorphism scoring in breast cancer. Diagnostics, 14 (18). art. no. 2045. ISSN 2075-4418; eISSN: 2075-4418 https://www.mdpi.com/2075-4418/14/18/2045 10.3390/diagnostics14182045
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Background/Objectives: Nuclear pleomorphism, a crucial determinant of breast cancer grading under the Nottingham Histopathology Grading (NHG) system, remains inadequately quantified in the existing literature. Motivated by this gap, our study seeks to investigate and establish correlations among morphological features across various scores of nuclear pleomorphism, as per the NHG system. We aim to quantify nuclear pleomorphism across these scores and validate our proposed measurement method against ground-truth data. Methods: Initially, we deconstruct the descriptions of nuclear pleomorphism into three core elements: size, shape, and appearance. These elements are subsequently mathematically modeled into equations, termed (Formula presented.), (Formula presented.), and (Formula presented.). These equations are then integrated into a unified model termed Harmonic Mean (HM). The HM equation yields a value approaching 1 for nuclei demonstrating characteristics of score-3 nuclear pleomorphism and near 0 for those exhibiting features of score-1 nuclear pleomorphism. Results: The proposed HM model demonstrates promising performance metrics, including Accuracy, Recall, Specificity, Precision, and F1-score, with values of 0.97, 0.96, 0.97, 0.94, and 0.95, respectively. Conclusions: In summary, this study proposes the HM equation as a novel feature for the precise quantification of nuclear pleomorphism in breast cancer.
format Article
author Teoh, Chai Ling
Tan, Xiao Jian
Ab Rahman, Khairul Shakir
Bakrin, Ikmal Hisyam
Goh, Kam Meng
Siet, Joseph Jiun Wen
Wan Muhamad, Wan Zuki Azman
spellingShingle Teoh, Chai Ling
Tan, Xiao Jian
Ab Rahman, Khairul Shakir
Bakrin, Ikmal Hisyam
Goh, Kam Meng
Siet, Joseph Jiun Wen
Wan Muhamad, Wan Zuki Azman
A quantitative measurement method for nuclear-pleomorphism scoring in breast cancer
author_facet Teoh, Chai Ling
Tan, Xiao Jian
Ab Rahman, Khairul Shakir
Bakrin, Ikmal Hisyam
Goh, Kam Meng
Siet, Joseph Jiun Wen
Wan Muhamad, Wan Zuki Azman
author_sort Teoh, Chai Ling
title A quantitative measurement method for nuclear-pleomorphism scoring in breast cancer
title_short A quantitative measurement method for nuclear-pleomorphism scoring in breast cancer
title_full A quantitative measurement method for nuclear-pleomorphism scoring in breast cancer
title_fullStr A quantitative measurement method for nuclear-pleomorphism scoring in breast cancer
title_full_unstemmed A quantitative measurement method for nuclear-pleomorphism scoring in breast cancer
title_sort quantitative measurement method for nuclear-pleomorphism scoring in breast cancer
publisher Multidisciplinary Digital Publishing Institute
publishDate 2024
url http://psasir.upm.edu.my/id/eprint/114647/1/114647.pdf
http://psasir.upm.edu.my/id/eprint/114647/
https://www.mdpi.com/2075-4418/14/18/2045
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score 13.23648