Tag: Mammography
Model Predicts False-Positives in Breast Cancer MRI Screen
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
Geographic location of radiology practice, breast subspecialization, performing diagnostic mammography tied to radiologist performance
Risk-Based Approach Developed to Triage Mammography Use
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
However, mammography and colonoscopy rates rebounded substantially by the end of July
US Breast Cancer Centers Recommend Earlier Initiation of Screening
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
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
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
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
Baseline measure of breast density at age 40 years would direct women with dense breasts to earlier, more frequent mammogram schedule
Mammography-Based AI Model May Predict Breast Cancer Risk
Discriminatory capacity for accurately identifying high-risk patients improved compared with prior methods