Open AccessDIGITAL BREAST TOMOSYNTHESIS AND FULL-FIELD DIGITAL MAMMOGRAPHY IN BREAST CANCER DETECTION ASSOCIATED WITH FOUR ASYMMETRY TYPES
Author(s) -
Andrii V Gurando,
T. Babkina,
I. Dykan,
Tetiana M Kozarenko,
Viacheslav R Gurando,
Vadim V Telniy
Publication year - 2021
Publication title -
wiadomości lekarskie
Language(s) - English
Resource type - Journals
eISSN - 2719-342X
pISSN - 0043-5147
DOI - 10.36740/wlek202104106
Subject(s) - medicine , breast cancer , digital mammography , tomosynthesis , mammography , digital breast tomosynthesis , radiology , nuclear medicine , cancer
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.