الفهرس 
Anatomy of the BreastOnly 14 pages are availabe for public view
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Abstract
Breast cancer is considered the most serious lesion among different breast lesions. Mammography is the corner stone for screening for detection of breast cancer. It has been modified to digital mammography then to tomosynthesis. Tomosynthesis is an emerging technique for diagnosis and screening of breast lesions.
Aim: This study aims at interrogating whether addition of digital breast tomosynthesis (DBT) to digital mammography (DM) helps in better characterization of different breast lesions.
Methods: This is a prospective study carried on 38 female patients according to our inclusion criteria. All patients were evaluated by DM alone and then with addition of DBT and were classified according to age, complain, family history, breast density and characterization of lesion. Breast imaging reporting and data System (BIRADS) scoring was assigned for each case which was correlated with the final diagnosis.
Results: DM identifies 32 lesions while DBT with DM identify 37 lesions. Regarding DM findings alone, 17 lesions are characterized as masses, 5 as asymmetry, 2 as architectural distortion, 7 as microcalcification and 1 as macrocalcification. While with addition of DBT to DM helped in better morphological characterization of 27 lesions are characterized as masses, 1 as asymmetry,1 as architectural distortion,7 as microcalcification and 1 as macrocalcification. So, there is statistically significant with addition of DBT to DM in detection of different breast lesions comparing to DM alone. The Sensitivity, specificity, AUC ,positive and negative predictive values were significantly higher with the addition of DBT to DM (100% ,90.5% , 0. 952, 90 % and 100 %, respectively) than that of DM (77.8% ,80.9% , 0.794, 77.8 % and 80.9%, respectively) for all breast lesions.
Conclusions: DBT is an encouraging imaging modality for better detection and characterization of different breast lesions when incorporating its image information with DM. This leads to early detection of breast cancer, performance improvement of radiologists and saving time by reduction of recall rate.