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Mammography AI model performs well in screening populations

AuntMinnie

Previous research has shown the ability of image-based AI models to discriminate between populations when it comes to assessing breast cancer risk based on family history and lifestyle factors. The model was tested on four European mammographic screening populations in three countries screened between 2009 and 2020 for women ages 45 to 69.

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Biomarker model predicts breast cancer risk without racial bias

AuntMinnie

However, mammograms contain highly predictive biomarkers of future cancer risk. Lamb and colleagues sought to assess the performance of an image-based deep learning risk assessment model for predicting both future invasive breast cancer and ductal carcinoma in situ (DCIS) across multiple races. Image and caption courtesy of RSNA.

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Finally, after years in the works!!

J Gershon Breast Imaging

What has been a law in Connecticut since 2009, has now finally become federal legislation! Every woman in the United States who has a mammogram will be notified of her breast density, enabling her to be proactive in obtaining additional imaging to evaluate her breast tissue. culminate in the new FDA reporting legislation.

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USPSTF finalizes breast cancer screening recommendations

AuntMinnie

The BCSC is a network of six breast imaging registries and two historic registries. Women who get that report saying they have dense breasts and that the mammogram doesn't work as well for them are kind of left in a little bit of a quandary," she told AuntMinnie.com. "We

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Unlock the advantage of time across the breast health continuum of care

The British Institute of Radiology

The integrated AI powered software solutions employ machine-learning and deep learning algorithms developed and trained on a large number of tomosynthesis (3D Mammography ) images to aid cancer detection, assess breast density, and accelerate diagnosis. Clin Imaging. 2009 May; 4(2): 89–92. 2021 Jan; 69: 269–279. [6]

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Editorial criticizes breast screening guidelines, ACR responds

AuntMinnie

Harris in his editorial, however, cited randomized controlled trials that influenced the task force’s recommendations in 2002 and 2009 that showed little to no statistically significant reduction in breast cancer mortality in women ages 40 to 49 years. He also wrote that overdiagnosis can be harmful to women.

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Annual Breast Cancer Screening Beginning at 40 Saves Lives

Imaging Technology

Preventive Services Task Force (USPSTF) in 2009 to screen every other year, or biennially, beginning at age 50 resulted in a nationwide decline in screening participation. Annual screening of women 40-79 years showed the lowest per mammogram false-positive screens (6.5%) and benign biopsies (0.88%) compared to other screening scenarios.