Digital breast tomosynthesis and contrast‐enhanced dual‐energy digital mammography alone and in combination compared to 2D digital synthetized mammography and MR imaging in breast cancer detection and classification

2019 ◽  
Vol 26 (5) ◽  
pp. 860-872 ◽  
Author(s):  
Antonella Petrillo ◽  
Roberta Fusco ◽  
Paolo Vallone ◽  
Salvatore Filice ◽  
Vincenza Granata ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Mr Imaging ◽  
Cancer Detection ◽  
Digital Mammography ◽  
Digital Breast Tomosynthesis ◽  
Dual Energy ◽  
Breast Cancer Detection ◽  
Breast Tomosynthesis ◽  
Contrast Enhanced

scholarly journals DIGITAL BREAST TOMOSYNTHESIS AND FULL-FIELD DIGITAL MAMMOGRAPHY IN BREAST CANCER DETECTION ASSOCIATED WITH FOUR ASYMMETRY TYPES

2021 ◽  
Vol 74 (4) ◽  
pp. 842-848
Author(s):  
Andrii V. Gurando ◽  
Tetiana M. Babkina ◽  
Iryna M. Dykan ◽  
Tetiana M. Kozarenko ◽  
Viacheslav R. Gurando ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Digital Mammography ◽  
Digital Breast Tomosynthesis ◽  
Breast Cancer Detection ◽  
Breast Tomosynthesis ◽  
Full Field ◽  
Full Field Digital Mammography ◽  
Different Types ◽  
Sclerosing Adenosis

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.

Digital Breast Tomosynthesis: Clinical Operations

2019 ◽  
Vol 1 (2) ◽  
pp. 122-126
Author(s):  
Sarah M Friedewald ◽  
Sonya Bhole ◽  
Lilian Wang ◽  
Dipti Gupta
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Digital Mammography ◽  
Digital Breast Tomosynthesis ◽  
Standard Of Care ◽  
Breast Tomosynthesis ◽  
Mandated Training ◽  
Process Understanding ◽  
Quality Imaging

Abstract Digital breast tomosynthesis (DBT) is rapidly becoming the standard of care for breast cancer screening. Implementing DBT into practice is relatively straightforward. However, there are important elements of the transition that one must consider to facilitate this process. Understanding the Digital Imaging and Communications in Medicine (DICOM) standard for DBT, as well as how images are displayed, is critical to a successful transition. Standardization of these processes will allow easier transmission of images from facility to facility, and limit the potential for errors in interpretation. Additionally, recent changes in federal regulations will require compliance with mandated training for the radiologist, technologist, and physicist, as well as accreditation for each DBT unit. These regulations aim to ensure high-quality imaging across the country as has been previously seen with standard digital mammography. Synthesized imaging is the most recent improvement for DBT, potentially obviating the need for a simultaneous traditional digital mammogram exposure. Studies have demonstrated near equivalent performance when comparing the combination imaging of DBT and digital mammography versus DBT combined with synthetic imaging. As the quality of the synthetic images continues to improve, it is increasingly likely that it will replace the traditional mammogram. Adherence to DBT-specific parameters will enhance the physician experience and ultimately translate to increased cancer detection and fewer false positive examinations, benefiting all women who are screened for breast cancer.

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