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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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Screening Tests for Dense Breasts—AI, Mammography, Ultrasound

Imaging Technology

This AJR accepted manuscript included 1,325 women (mean age, 53 years) with dense breasts who underwent both screening mammography and supplementary breast US within a 1-month interval from January 2017 to December 2017; prior mammogram and US were available to compare in 91.2% and 91.8%, respectively. s analysis.

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Cryoablation effective in women with breast cancer

AuntMinnie

The finding suggests the technique may provide a new treatment path for women who are not candidates for lumpectomy, or surgical removal, noted Yolanda Bryce, MD, an interventional radiologist at Memorial Sloan Kettering Cancer Center in New York City, and senior author of the study. Tumor size ranged from 0.3

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Combining mammography with ultrasound tomography improves cancer detection

AuntMinnie

The study included data collected between 2017 and 2019 from 140 women who underwent both modalities at 10 centers as part of a prospective case collection registry. The radiologists performed 4,480 readings using both the combined approach and mammography alone. Sensitivity (BI-RADS 4) 30% 37% 0.03

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Screening Tests for Dense Breasts—AI, Mammography, Ultrasound

Imaging Technology

This AJR accepted manuscript included 1,325 women (mean age, 53 years) with dense breasts who underwent both screening mammography and supplementary breast US within a 1-month interval from January 2017 to December 2017; prior mammogram and US were available to compare in 91.2% and 91.8%, respectively. s analysis.

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RadNet testing three retail in-store breast cancer screening operations

AuntMinnie

Saige-Dx optimizes breast cancer screening to help radiologists detect even subtle lesions, according to the company. Saige-Dx is intended to be used on women 35 years old and older, and it is not intended to replace a physician's own review of a mammogram. It assists in a recall or don't recall decision. DeepHealth Inc.

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The Elusive IMF: What, Why, When and How

Mammography Educators

IMF serves as an important anatomical landmark on an MLO to provide assurance to the technologist and radiologist that all of the inferior, posterior breast tissue has been included. AJR:209, December 2017 ) Folds in the IMF are visualized as follows: FFDM 35% and with DBT 45% of the time. ( How much is enough? Is just a “sliver” OK?