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Ultrasound nonmass breast lesion features may signal malignancy

AuntMinnie

It also found that having a negative mammogram was associated with a lower malignancy rate and lower positive predictive values for sonographic features compared with having an abnormal mammogram. The retrospective, multicenter study included data collected from 2012 to 2019 from 993 women with an average age of 50 years.

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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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CEM has tradeoffs for imaging extremely dense breasts

AuntMinnie

The increased specificity of follow-up CEM examinations compared with baseline CEM examinations suggests that the diagnostic performance of CEM may be improved even further in the future,” Jochelson and colleagues wrote. 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.