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Breast Cancer Special Report in NEJM Shows Why Women 40-49 Should Get Regular Mammograms

Monday, June 12, 2017

A report published June 8, 2017 in the New England Journal of Medicine, "showed that younger women of screening age are more likely to develop aggressive breast cancers than older women. This added risk reinforces why women should start annual mammography screening at age 40."

New Survey Finds Radiologists Are Back in Demand

Friday, June 9, 2017

Aunt Minnie (6/8, Casey) reports that "for the first time in a decade, radiologists have landed back in the top 10 of search assignments for U.S. physicians by recruiting firm Merritt Hawkins, as employment conditions in the specialty continue to improve. Merritt Hawkins noted that radiologists had been absent from its top 10 list since 2007. The specialty's return is due to an increase in diagnostic imaging procedures, a more limited pool of candidates, and the proliferation of teleradiology services," and "renewed demand for radiologists is 'inevitable,' according to the report, 'because imaging remains central to diagnostic and procedural work in today's healthcare system, in which very little transpires without an image.'"

Mammography Screening Adheres Closer to USPSTF Guidelines Than Other Guidelines

Wednesday, June 7, 2017

Aunt Minnie (6/7, Yee) reports mammography screening adheres more closely to the guidelines of the US Preventive Services Task Force than other guidelines, “and the frequency and proportion of women who undergo screening increase with age,” according to a study published in Breast Cancer Research and Treatment. The article points out that the American College of Radiology and other medical groups have different guidelines on mammography screening.

Deep-Learning Technique May Help Classify Breast Density on Mammography Images

Monday, June 5, 2017
Aunt Minnie (6/2, Ridley) reported that research suggests “a deep-learning technique shows promise for helping to classify breast density on mammography images.” Investigators “developed a deep learning-based method that could accurately classify mammograms into two of the most challenging BI-RADS density categories: B (scattered density) and C (heterogeneously dense).” The findings were presented at the Society for Imaging Informatics in Medicine annual meeting.

Review of Mammography Screening Rates in Medicare Advantage Plans Finds for-Profit Providers Lagging Behind Non-Profit Colleagues

Monday, June 5, 2017
The Radiology Business Journal (6/2, Doss) reported that “a review of mammography screening rates in Medicare Advantage (MA) plans found for-profit providers lagging behind their non-profit colleagues, signaling the importance of publicizing performance data so consumers and regulators can make informed decisions.” The Journal added, “The nearly 6 percent gulf may reflect culture differences between non-profit and for-profit providers, according to a study published in the Journal of the American College of Radiology.”
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