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2009 USPSTF breast screening guidelines led to less mammography uptake

AuntMinnie

The USPSTFs 2009 policy recommended that women ages 50 to 74 undergo biennial mammograms -- what was then a B-grade recommendation. million women, of whom 75% reported having a biennial mammogram. The team used survey data from the Behavioral Risk Factor Surveillance System (BRFSS) biennial cancer screening module (2000 to 2018).

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FES-PET shows promise staging patients with low-grade breast cancer

AuntMinnie

Between December 2018 and January 2021, the group enrolled 41 female participants (median age, 56 years) who underwent both PET scans. B) F-18 FDG-PET maximum intensity projection, F-18 FES-PET maximum intensity projection, breast MRI scan, and mammogram in an 81-year-old female participant who presented with a tumor in the right breast.

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Late-stage breast cancer incidence increasing in U.S. women

AuntMinnie

women, with an annual percentage change (APC) of 1.16% (p Late-stage disease increased consistently for women aged 20 to 39 years with an APC of 2.91% (p For women aged 40 to 74 years, the late-stage breast cancer incidence rate increased with an APC of 2.10% between 2004 and 2010 (p = 0.002) and an APC of 2.73% between 2018 and 2021 (p = 0.01).

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AI helps out with spotting, localizing interval breast cancers

AuntMinnie

AI software can help increase detection of interval cancers on screening mammograms that were missed by two human readers, according to research published August 27 in Radiology. Lunit) to 2,052 screening mammograms acquired between January 2011 to December 2018 and interpreted by two readers.

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AI bests rads in finding breast cancer in women with personal history

AuntMinnie

However, the researchers noted a lack of data on interpreting surveillance mammograms in women with a personal history of breast cancer. A) Left craniocaudal and (B) mediolateral oblique mammograms assessed as benign. (C) AI continues to show promise in improving screening mammography interpretation. years after right mastectomy. (A)

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Biomarker model predicts breast cancer risk without racial bias

AuntMinnie

However, mammograms contain highly predictive biomarkers of future cancer risk. They conducted a study that included 129,340 routine bilateral screening mammograms performed in 71,479 women between 2009 to 2018 with five-year follow-up data. Mammograms contain highly predictive biomarkers of future cancer risk.

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Study on breast density notification narratives draws mixed reaction

AuntMinnie

In 2018, she led a study on automated breast density assessment for informing cancer risk, and in 2022, she and colleagues studied the impact of digital breast tomosynthesis (DBT) on imaging dense breasts. Kerlikowske has studied breast density on imaging. The study can be found here.

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