TY  - EJOU
AU  - Gokbulut, Nezihal 
AU  - Hincal, Evren 
AU  - Besim, Hasan 
AU  - Kaymakamzade, Bilgen 

TI  - Reducing the Range of Cancer Risk on BI-RADS 4 Subcategories via Mathematical Modelling
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2022
VL  - 133
IS  - 1
SN  - 1526-1506

AB  - Breast Imaging Reporting and Data System, also known as BI-RADS is a universal system used by radiologists and
doctors. It constructs a comprehensive language for the diagnosis of breast cancer. BI-RADS 4 category has a wide
range of cancer risk since it is divided into 3 categories. Mathematical models play an important role in the diagnosis
and treatment of cancer. In this study, data of 42 BI-RADS 4 patients taken from the Center for Breast Health, Near
East University Hospital is utilized. Regarding the analysis, a mathematical model is constructed by dividing the
population into 4 compartments. Sensitivity analysis is applied to the parameters with the desired outcome of a
reduced range of cancer risk. Numerical simulations of the parameters are demonstrated. The results of the model
have revealed that an increase in the lactation rate and early menopause 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 distinctive. Furthermore, the negative effects of smoking and late menopause on BI-RADS 4C diagnosis
are vehemently outlined. Consequently, the model showed that the percentages of parameters play an important
role in the diagnosis of BI-RADS 4 subcategories. All things considered, with the assistance of the most effective
parameters, the range of cancer risks in BI-RADS 4 subcategories will decrease.
KW  - Mathematical model; breast cancer; BI-RADS 4; sensitivity analysis; reducing cancer risk; suspicious malignancy; ordinary differential equations

DO  - 10.32604/cmes.2022.019782