- Journal of Health Sciences and Medicine
- Volume:6 Issue:5
- Evaluation of the relationship between digital mammography radiation dose and patient age, breast vo...
Evaluation of the relationship between digital mammography radiation dose and patient age, breast volume and density
Authors : Bünyamin ECE
Pages : 954-961
View : 30 | Download : 34
Publication Date : 2023-09-28
Article Type : Research Paper
Abstract :Aims: To determine the average radiation dose values in patients who underwent routine screening mammography in our hospital, establish the relationship between breast density and volume, and investigate other factors affecting radiation dose. Methods: Screening bilateral mammography was retrospectively evaluated within the specified period of 2 months. Patient age, breast density ratio, mammographic size of the breast, calculated breast volume, tube voltage, current, exposure time insert ignore into journalissuearticles values(ms);, compression force insert ignore into journalissuearticles values(kg);, compression thickness insert ignore into journalissuearticles values(mm);, and radiation dose insert ignore into journalissuearticles values(mGy); given in each projection were recorded separately for each patient. According to the BI-RADS, breast densities classified as types A-B were considered non-dense, while types C-D were considered dense breasts. The 75th percentile dose value insert ignore into journalissuearticles values(mGy); was chosen as the cutoff for high dose group. Logistic regression analyses were used to examine the factors affecting radiation dose. Results: 1720 mammograms from 430 patients were studied. 276 insert ignore into journalissuearticles values(64.2%); breasts were non-dense, while 154 insert ignore into journalissuearticles values(35.8%); breasts were dense. The mean total breast volume was 595±334 ml, compression thickness was 36.5±12.0 mm, and radiation dose was 2.04±0.75 mGy. There was a negative correlation between radiation dose and age insert ignore into journalissuearticles values(r=-0.330, p<0.001);, while a positive correlation was found between radiation dose and breast volume insert ignore into journalissuearticles values(r=0.514, p<0.001);, kV insert ignore into journalissuearticles values(r=0.608, p<0.001);, mAs insert ignore into journalissuearticles values(r=0.912, p<0.001);, exposure time insert ignore into journalissuearticles values(r=0.820, p<0.001);, compression thickness insert ignore into journalissuearticles values(r=0.629, p<0.001); and strength insert ignore into journalissuearticles values(r=0.084, p<0.001);. In the regression analysis conducted excluding technical parameters, age, breast volume, density, and compression thickness all influence radiation dose, with compression thickness having the greatest effect, followed by breast volume, age, and finally breast density. Conclusion: The most important factors influencing radiation dose are technical parameters such as tube voltage, current and exposure time. However, apart from technical parameters, compressed breast thickness is the most affecting factor, followed by breast volume, age, and least of all, breast density, in affecting radiation dose.Keywords : Mammography, breast, radiation dosage, diagnostic imaging, breast density, diagnostic screening programs