Tag: Mammography
Combined AI, Mammography Texture Model Improves Breast CA Risk Prediction
Combination model achieved higher AUC for interval and long-term cancers grouped together
Common Cancer Screenings May Not Extend Life Longevity
Meta-analysis only shows a 110-day survival benefit for colorectal cancer screening with sigmoidoscopy
Including Women in Their 40s in Breast Cancer Screening Programs Beneficial
Significantly higher 10-year net survival seen for women aged 40 to 49 years with screening programs that include women in their 40s
AI-Supported Mammography Screen Reading Seems Promising
Cancer detection rate similar compared with standard double reading, with lower screen-reading workload
Mammography Plus Ultrasound Superior to Mammography With AI for Dense Breasts
Mammography with supplementary ultrasound has higher accuracy, lower recall rate than mammography with AI
Breast Density Varies in Racial/Ethnic Groups After BMI Adjustment
Clinically important differences seen in prevalence of dense breasts even after adjustment for body mass index
Many at Risk Do Not Undergo Supplemental Screening After Mammography
Ultrasound screening targeted to women with dense breasts, but not all had high interval invasive breast cancer risk
Mammographic AI Algorithms Improve Breast Cancer Prediction
Higher time-dependent area under the curves seen for five AI algorithms compared with Breast Cancer Surveillance Consortium risk model
Automation Bias ID’d for Radiologists of All Levels of Experience
Automation bias seen for radiologists reading mammograms with aid of artificial intelligence system
Screening Recommendations Updated for Increased Breast Cancer Risk
Women with higher-than-average breast cancer risk, especially Black and Ashkenazi Jewish women, should start screening at younger age
