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AI helps select patients for supplemental breast cancer screening

AuntMinnie

An AI-based method can outperform models based just on breast density analysis for identifying patients who would benefit from supplemental imaging, according to research published April 9 in Radiology. What’s more, the AI score could potentially have saved more than twice the number of years of life than relying on density measurements. “In

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Study Shows DBT More Effective Detecting Breast Cancer

Imaging Technology

The data also suggests that 3D mammograms could reduce the incidence of advanced cancer diagnoses. DBT reconstructs pictures of the breast taken from different angles into 3D images, whereas DM makes pictures of the breast from two angles. YSM radiologists at Yale New Haven Health (YNHH) adopted the new DBT technology in 2011.

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AI can be used to 'rule-out' breast cancer on mammography

AuntMinnie

A deep-learning algorithm can rule out the presence of breast cancer on screening mammograms, improving specificity and yielding significant workflow and downstream savings, according to research published April 10 in Radiology. dataset 1: 143,593 mammograms interpreted by 11 breast radiologists from 2008 to 2017 U.S.

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Can customized reader pairing boost mammo double reading performance?

AuntMinnie

In Europe, breast cancer screening involves double reading, where two interpreting radiologists review mammography images. Gommers and colleagues sought to discover whether radiologist performance characteristics can be used to determine the best pairs of radiologists to double read screening mammograms.

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Editorial criticizes breast screening guidelines, ACR responds

AuntMinnie

Such harms may include unnecessary biopsy, additional radiation exposure with more imaging, and patient anxiety. He was also a task force member from 2003 to 2008 and was present at USPSTF meetings which led to updated breast cancer screening recommendations in 2002 and 2009. He also wrote that overdiagnosis can be harmful to women.

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