November-December, 2021 Research Brief article links
Learn more about the papers featured in Volpara’s November-December Research Brief by following the links below.
Persistent inter-observer variability of breast density assessment using BI-RADS® 5th Edition guidelines
Portnow, L., et al. Clinical Imaging. 2021. https://doi.org/10.1016/j.clinimag.2021.11.034.
Automated breast lesion detection and characterization with the Wavelia Microwave Breast Imaging System: methodological proof-of-concept on first-in-human patient data
Fasoula, A., et al. Applied Sciences. 2021. https://doi.org/10.3390/app11219998.
Coffee, tea, and mammographic breast density in premenopausal women
Odama, A., et al. Nutrients. 2021. doi: 10.3390/nu13113852.
Optimal breast density characterization using a three-dimensional automated breast densitometry system
Yoshida, R., et al. Current Oncology. 2021. https://doi.org/10.3390/curroncol28060448
Does circulating progesterone mediate the associations of single nucleotide polymorphisms in progesterone receptor (PGR)-related genes with mammographic breast density in premenopausal women?
Akinjiyan, F., et al. Discover Oncology. 2021. doi: 10.1007/s12672-021-00438-1.
Access to the accepted scientific abstracts below is through RSNA or SABCS login only. Click here for access to full author lists and affiliations.
Impact on risk categorization with inclusion of mammographic density in the Tyrer-Cuzick model
Destounis, S., et al. RSNA. 2021.
Association of automated breast positioning assessment with technical repeats and recalls in the nationalized UK screening program
Gilroy, H., et al. RSNA. 2021.
Denser or thinner? Mammographic breast density characterization around the world
Sanderink, W., et al. RSNA. 2021.
Breast density associations with tumor characteristics among screen-detected and interval breast cancers diagnosed in a US screening setting
Destounis, S., et al. RSNA. 2021.
Volumetric breast density is a strong predictor of breast tumor size in a US screening population
Destounis, S., et al. RSNA. 2021.
Deep learning predicts interval and screening-detected cancer from screening mammograms: a case-case-control study in 6369 women
Triaging women from MRI to mammography to adapt screening to changes in breast density using artificial intelligence
van der Velden, B., et al. RSNA. 2021.
AI-triaging of breast MRI for radiological review in the screening of women with extremely dense breasts
Verburg, E., et al. RSNA. 2021.
Replacing a radiologist by AI in Dutch population based breast cancer screening and the impact of breast density on performance
van Winkel, S., et al. RSNA. 2021.
Commercially available AI system for breast cancer detection shows promise for risk prediction, including women with dense breasts
Vachon, C., et al. RSNA. 2021.
Mammographic density in relation to breast cancer risk factors among Chinese women
