Dose reduction during breast screening using monte carlo calculation

الملخص EN

Breast cancer is the second greatest cause of cancer-related death after lung cancer at the present time.

Early detection of breast cancer is the most effective weapon and can save many victims every year.

To detect the disease, a screening test such as a mammogram is recommended to detect the cancer before the symptoms appear.

X-ray mammography is the most accurate method for screening the Breast.

As with any examination that includes X-rays, there is always a small stochastic risk of inducing cancer.

It is, therefore, important to evaluate the risk from the dose delivered to the patient during the screening process.

High spatial resolution is also important in the detection of calcifications which are often associated with lesions of the breast.

A quality control program (QCP) in mammography must be implemented to reduce the breast dose and improve image quality thus ensuring diagnostic accuracy.

Also, dose assessment must be carried out to avoid unnecessary radiation during X-ray imaging.

Using theoretical model to study many factors that may affect either on image quality, or on dose received by patient, is a powerful tool for dose assessment in mammography screening.

Accordingly, the present work is associated with the use of Monte Carlo method to design the exposed region in woman with different target/filter machines and also different applied kVp taking into consideration both image quality and radiation safety.