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Tag: Mammography

Model Predicts False-Positives in Breast Cancer MRI Screen

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Full prediction model could prevent 45.5 percent of false-positive recalls, 21.3 percent of benign biopsies for those with extremely dense breasts

Factors ID’d for Radiologist Performance in Screening Mammography

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Geographic location of radiology practice, breast subspecialization, performing diagnostic mammography tied to radiologist performance

Risk-Based Approach Developed to Triage Mammography Use

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Clinical indication and individual risk factors linked to breast cancer detection and could help triage mammography use

Routine Cancer Screenings Declined Significantly at Start of Pandemic

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However, mammography and colonoscopy rates rebounded substantially by the end of July

US Breast Cancer Centers Recommend Earlier Initiation of Screening

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Of the 431 centers that recommended a starting age, 87.2 percent gave recommendations different from those of national societies

Risk for Breast Cancer Death Increased With Missing Mammogram

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Serial participants have significantly lower risk for death compared with those who missed one or both of two screenings before diagnosis

Axillary Adenopathy Reported After Recent COVID-19 Vaccination

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Management approach to these findings includes axillary ultrasound if clinical concern persists six weeks after final dose of vaccine

Mammography Guidelines Developed for Older Breast Cancer Survivors

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Discontinuation of routine mammography recommended for breast cancer survivors when life expectancy is less than five years

Mammography Screening Model Based on Breast Density Studied

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Baseline measure of breast density at age 40 years would direct women with dense breasts to earlier, more frequent mammogram schedule

Cancer Screening

Mammography-Based AI Model May Predict Breast Cancer Risk

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Discriminatory capacity for accurately identifying high-risk patients improved compared with prior methods