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Tag: Mammography

Digital breast tomosynthesis screening outcomes are favorable and sustained over multiple years

Sustained Favorable Outcomes Found With Digital Breast Tomosynthesis

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Recall rate percentage significantly lower and cancer detection rate significantly higher for DBT versus DM
For women aged 75 years or older

Continuing Annual Breast Cancer Screening No Benefit in Over-75s

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No significant reductions found in eight-year breast cancer mortality for continuing versus stopping screening
State dense-breast notification laws are not associated with increased understanding of the clinical implications of breast density

Notification Laws May Not Increase Knowledge of Dense Breast Risks

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Women with lower education may be less likely to gain awareness of breast density due to the laws
Being a resident in a state with a dense breast notification law does not appear to help women know more about breast density

More Education Needed on Breast Density and Screening Choices

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Women largely do not know breast density ups risk for breast cancer even in U.S. states with notification
An artificial intelligence system can reduce false positives and false negatives in prediction of breast cancer and outperforms human readers

AI System Outperforms Radiologists in Breast Cancer Prediction

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Reduction seen in false positives, false negatives in datasets from the United Kingdom, United States
Compared with annual screening

RSNA: Biennial Mammo Returns More Advanced-Stage Cancers

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Annual mammography screening, used by most patients, yields smaller and less advanced cancers
There is no significant difference in breast cancer detection rates with dense breast ultrasound screening following digital mammography versus digital breast tomosynthesis

Cancer Yield Similar for Dense Breast Ultrasound After DM, DBT

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Detection rates for additional cancers similar after digital mammography, digital breast tomosynthesis
Regardless of the percentage of lifetime spent in the United States

Foreign-Born Women in U.S. Less Likely to Have Mammograms

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Findings remain even after adjusting for common sociodemographic factors
Use of a deep learning artificial intelligence system for digital breast tomosynthesis images can improve cancer detection efficacy and reduce image reading time

AI Assists in Reading of Digital Breast Tomosynthesis Images

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Concurrent use of AI system improves cancer detection, reduces reading time and recall rate
Adoption of 3-D mammography expanded rapidly in the United States in just a few years

Use of 3-D Mammography Rapidly Expanded 2015 to 2017

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Adoption varied widely by region; uptake more rapid in areas with greater socioeconomic resources