This study aimed to predict radiotherapy outcome for breast cancer patients using clinical and dosimetric parameters through logistic regression analysis. The study made use of One Thousand, Four Hundred and Twenty-Two (1422) patients treated for breast cancer at the NSIA Cancer Centre, Lagos University Teaching Hospital (LUTH), Lagos State. Multivariate logistic regression analysis is performed in R Studio, with the level of significance set at p<0.05.

This study discusses thickening annulus in Cauchy’s integral theorem for matrix function via Mobius transformation. We introduce a Jacobi type elliptic integral for arc length using Mobius transformation leading to optimization in the contour integral wherein Trapezoidal rule and Runge-Kutta fourth order method are used yielding approximate solutions to the integral problem. We filtered out noise from solution space using Tikhonov regularization method. This leads to computing for the path integral, path length and size of the path for the Cauchy integral.

There is no direct method of conversion from Microsieverts Per Hour (μSv/hr) to Counts Per Minute (CPM). This study presents an evaluation of approximation methods of going about this conversion. In this study, indoor and outdoor background gamma radiation measurements are carried out using Fluke Biomedical 451 ion Chamber Survey Meter.