scholarly journals Accuracy of breast cancer detection with full-field digital mammography and integral computer-aided detection correlated with breast density as assessed by a new automated volumetric breast density measurement system

2010 ◽  
Vol 12 (S3) ◽  
Author(s):  
K Pinker ◽  
N Perry ◽  
S Milner ◽  
K Mokbel ◽  
S Duffy
2013 ◽  
Vol 26 (4) ◽  
pp. 768-773 ◽  
Author(s):  
Ryusuke Murakami ◽  
Shinichiro Kumita ◽  
Hitomi Tani ◽  
Tamiko Yoshida ◽  
Kenichi Sugizaki ◽  
...  

2013 ◽  
Vol 16 (3) ◽  
pp. 322 ◽  
Author(s):  
Chang Suk Park ◽  
Na Young Jung ◽  
Kijun Kim ◽  
Hyun Seouk Jung ◽  
Kyung-Myung Sohn ◽  
...  

2021 ◽  
Vol 74 (4) ◽  
pp. 842-848
Author(s):  
Andrii V. Gurando ◽  
Tetiana M. Babkina ◽  
Iryna M. Dykan ◽  
Tetiana M. Kozarenko ◽  
Viacheslav R. Gurando ◽  
...  

The aim: Comparing sensitivity and specificity of digital breast tomosynthesis and full-field digital mammography in breast cancer detection associated with four different types of asymmetries according to BI-RADS Atlas. Materials and methods: Study included 201 patients with four types of asymmetries according BI-RADS atlas (asymmetry – 81 (40,3%), focal asymmetry – 82 (40,8%), global asymmetry – 36 (17,9%) and developing asymmetry – 2 (1,0%)) who underwent full-field digital mammography, digital breast tomosynthesis and hand-held full breast ultrasound from January 2017 to June 2018. The general rate of breast cancer for the 201 patients with asymmetries was 8 cases (4,0%) (IBC, n=6 (3,0%); DCIS, n=2 (1,0%) other findings associated with asymmetries were non-malignant, n=10 (5,0%) (sclerosing adenosis, n=5 (2,5%); fibroadenomatosis, n=3 (1,5%); simple cyst, n=1 (0,5%); radial scar associated with papilloma, typical ductal hyperplasia and sclerosing adenosis, n=1 (0,5%). Results: Analysis of the results showed that sensitivity of digital breast tomosynthesis was 75.0% [95% CI, 34.91% to 96.81%] and specificity was 94.8% [95% CI, 90.68% to 97.49%] which was superior to full-field digital mammography sensitivity 50.0% [95% CI, 15.70% to 84.30%] and specificity 91.19% [95% CI, 86.27% to 94.78%] for breast cancer detection associated with different types of asymmetries. Conclusions: Using of digital breast tomosynthesis in assessment of breast asymmetries can improve sensitivity and specificity in breast cancer detection and reduce number of unnecessary biopsies and short-interval follow-up examinations.


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