Tag: Mammography
AI System Outperforms Radiologists in Breast Cancer Prediction
Reduction seen in false positives, false negatives in datasets from the United Kingdom, United States
RSNA: Biennial Mammo Returns More Advanced-Stage Cancers
Annual mammography screening, used by most patients, yields smaller and less advanced cancers
Cancer Yield Similar for Dense Breast Ultrasound After DM, DBT
Detection rates for additional cancers similar after digital mammography, digital breast tomosynthesis
Foreign-Born Women in U.S. Less Likely to Have Mammograms
Findings remain even after adjusting for common sociodemographic factors
AI Assists in Reading of Digital Breast Tomosynthesis Images
Concurrent use of AI system improves cancer detection, reduces reading time and recall rate
Use of 3-D Mammography Rapidly Expanded 2015 to 2017
Adoption varied widely by region; uptake more rapid in areas with greater socioeconomic resources
Surveillance Breast MRI Ups Biopsy, Cancer Detection Rates
Better results seen compared with mammography alone in women with a personal history of breast cancer
Mammogram Benefits Seen as More Important Than Harms
Perception varies by knowledge of latest recommendations, date of last mammogram
New Recommendations Developed for Breast Cancer Screening
Guideline based on individual breast cancer risk profile, with specific screening strategies
Mammo-Based Deep Learning Model Assesses Breast Cancer Risk
Deep learning models more accurate than models that use traditional risk factors, breast density