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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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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

Customized pairing strategies do not significantly improve mammography double reading performance, according to Dutch findings published October 24 in Radiology. They used retrospective data with reading outcomes from breast cancer screening programs in Sweden (2008 to 2015), England (2012 to 2014), and Norway (2004 to 2018).

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Study Shows DBT More Effective Detecting Breast Cancer

Imaging Technology

tim.hodson Tue, 09/24/2024 - 16:18 According to a study published in Radiology , a journal of the Radiological Society of North America, the newer, 3D form of breast screening, known as digital breast tomosynthesis (DBT), is more effective at detecting breast cancer than traditional 2D digital mammography (DM).

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Editorial criticizes breast screening guidelines, ACR responds

AuntMinnie

Preventive Services Task Force (USPSTF) breast cancer screening guidelines has drawn the ire of the American College of Radiology (ACR). 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.

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