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Combining AI Models Improves Breast Cancer Risk Assessment

Imaging Technology

“In recent years, AI has been studied for the purpose of diagnosing breast cancer earlier by automatically detecting breast cancers in mammograms and measuring the risk of future breast cancer.” Diagnostic AI models are trained to detect suspicious lesions on mammograms and are well suited to estimate short-term breast cancer risk.

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AI Software Firm Announces Support of DenseBreast-info.org Ahead of SBI 2023 Symposium

Imaging Technology

1) After a mammogram, other screening tests such as ultrasound, and especially MRI, find additional cancers in dense breasts. To date, only sixteen states and the District of Columbia (2) have laws that require insurance coverage for screening beyond mammograms for higher risk women and/or those with dense tissue. Br J Radiol.

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CEM has tradeoffs for imaging extremely dense breasts

AuntMinnie

The researchers evaluated CEM’s diagnostic performance in this population, collecting data from consecutive CEM exams in asymptomatic women performed between 2012 and 2022. From the CEM exams, the team defined "low-energy" images as the equivalent of a 2D full-field digital mammogram.

Imaging 64
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Why understanding breast density matters

The British Institute of Radiology

Women with dense breasts are BOTH more likely to develop breast cancer and more likely to have that cancer missed on a mammogram [5] Fig. 1 – Cancer on a mammogram of a fatty vs a dense breast What is Dense Breast Tissue? Breast density is determined through a mammogram and described as one of four categories (Fig.