Reducing the Range of Cancer Risk on BI-RADS 4 Subcategories via Mathematical Modelling
作者机构：Near East UniversityFaculty of Arts and SciencesNicosia99138North Cyprus Near East UniversityMathematics Research CenterNicosia99138North Cyprus Near East UniversityFaculty of MedicineNicosia99138North Cyprus
出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)
年 卷 期：2022年第133卷第10期
页 面：93-109页
核心收录：
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Mathematical model breast cancer BI-RADS 4 sensitivity analysis reducing cancer risk suspicious malignancy ordinary differential equations
摘 要：Breast Imaging Reporting and Data System,also known as BI-RADS is a universal system used by radiologists and *** constructs a comprehensive language for the diagnosis of breast ***-RADS 4 category has a wide range of cancer risk since it is divided into 3 *** play an important role in the diagnosis and treatment of *** this study,data of 42 BI-RADS 4 patients taken fromthe Center for Breast Health,Near East University Hospital is *** the analysis,a mathematical model is constructed by dividing the population into 4 *** analysis is applied to the parameters with the desired outcome of a reduced range of cancer *** simulations of the parameters are *** results of the model have revealed that an increase in the lactation rate and earlymenopause have a negative correlation with the chance of being diagnosed with BI-RADS 4 whereas a positive correlation increase in age,the palpable mass,and family history is ***,the negative effects of smoking and late menopause on BI-RADS 4C diagnosis are vehemently ***,the model showed that the percentages of parameters play an important role in the diagnosis of BI-RADS 4 *** things considered,with the assistance of the most effective parameters,the range of cancer risks in BI-RADS 4 subcategories will decrease.
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