Evidence map›Paper›PMID 39335724›Full record

ArticleDiagnostics (Basel, Switzerland)2024

A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer.

Chai Ling Teoh, Xiao Jian Tan, Khairul Shakir Ab Rahman, Ikmal Hisyam Bakrin, Kam Meng Goh, Joseph Jiun Wen Siet, Wan Zuki Azman Wan Muhamad

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Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chai Ling TeohDepartment 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.
Xiao Jian TanDepartment 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.ORCID 0000-0003-1038-3933
Khairul Shakir Ab RahmanDepartment of Pathology, Hospital Tuanku Fauziah, Jalan Tun Abdul Razak, Kangar 01000, Perlis, Malaysia.
Ikmal Hisyam BakrinDepartment of Pathology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia (UPM) Serdang, Serdang 43400, Selangor, Malaysia.
Kam Meng GohDepartment 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.
Joseph Jiun Wen SietDepartment 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.
Wan Zuki Azman Wan MuhamadSports Engineering Research Centre (SERC), Universiti Malaysia Perlis (UniMAP), Arau 02600, Perlis, Malaysia.ORCID 0000-0001-5697-8196

Funding

Tunku Abdul Rahman University of Management and Technology (TAR UMT) UC/I/G2021-00078
6 · The paper itself

Abstract

BACKGROUND/

objectivesNuclear 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.

methodsInitially, we deconstruct the descriptions of nuclear pleomorphism into three core elements: size, shape, and appearance. These elements are subsequently mathematically modeled into equations, termed ESize, EShape, and EAppearance. These equations are then integrated into a unified model termed Harmonic Mean (

resultsThe proposed

conclusionsIn summary, this study proposes the

Indexed as

breast cancermodellingmorphological featuresnuclear atypia scoringnuclear pleomorphismquantitative measurement

Identifiers

PMID39335724
PMCPMC11431806

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