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Radiology|June 5, 2019
Surveillance Breast MRI and Mammography: Comparison in Women with a Personal History of Breast CancerKaren J Wernli, Laura Ichikawa, Karla Kerlikowske, et al.AJR. American Journal of Roentgenology|May 23, 2014
Educational interventions to improve screening mammography interpretation: a randomized controlled trialBerta M Geller, Andy Bogart, Patricia A Carney, et al.Journal of the American College of Radiology : JACR|February 1, 2020
Facility Variability in Examination Indication Among Women With Prior Breast Cancer: Implications and the Need for StandardizationDiana S M Buist, Laura Ichikawa, Karen J Wernli, et al.Journal of the National Cancer Institute|March 26, 2026
Performance of clinical breast cancer risk prediction models versus a mammography-based artificial intelligence risk modelMedha Kaul, Christopher G Scott, Alena Wadzinske, et al.Radiology|January 31, 2002
Concordance of breast imaging reporting and data system assessments and management recommendations in screening mammographyStephen H Taplin, Laura E Ichikawa, Karla Kerlikowske, et al.Radiology|May 18, 2021
Digital Mammography and Breast Tomosynthesis Performance in Women with a Personal History of Breast Cancer, 2007-2016Janie M Lee, Laura E Ichikawa, Karen J Wernli, et al.Preventive Medicine|November 11, 2021
Mammography adherence in relation to function-related indicators in older womenDongyu Zhang, Linn Abraham, Brian L Sprague, et al.Journal of General Internal Medicine|December 4, 2019
Knowledge and Perception of Breast Density, Screening Mammography, and Supplemental Screening: in Search of "Informed"Karen E Schifferdecker, Anna N A Tosteson, Celia Kaplan, et al.Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|January 10, 2019
Population-Based Assessment of the Association Between Magnetic Resonance Imaging Background Parenchymal Enhancement and Future Primary Breast Cancer RiskVignesh A Arasu, Diana L Miglioretti, Brian L Sprague, et al.Annals of Internal Medicine|May 1, 2018
Automated and Clinical Breast Imaging Reporting and Data System Density Measures Predict Risk for Screen-Detected and Interval Cancers: A Case-Control StudyKarla Kerlikowske, Christopher G Scott, Amir P Mahmoudzadeh, et al.Pageof 36