Factors Associated With Optimal Follow-up in Women With BI-RADS 3 Breast Findings

Gandhi, 2006, Missed and delayed diagnoses in the ambulatory setting: a study of closed malpractice claims, Ann Intern Med, 145, 488, 10.7326/0003-4819-145-7-200610030-00006

Lacquement, 1999, Positive predictive value of the Breast Imaging Reporting and Data System, J Am Coll Surg, 189, 34, 10.1016/S1072-7515(99)00080-0

Nelson, 2009, Screening for breast cancer: an update for the U.S. Preventive Services Task Force, Ann Intern Med, 151, 10.7326/0003-4819-151-10-200911170-00009

Elmore, 2005, Efficacy of breast cancer screening in the community according to risk level, J Natl Cancer Inst, 97, 1035, 10.1093/jnci/dji183

D'Orsi, 2013

Marshall, 2012, Follow-up frequency and compliance in women with probably benign findings on breast magnetic resonance imaging, Acad Radiol, 19, 406, 10.1016/j.acra.2011.11.014

Chung, 2014, Patient compliance and diagnostic yield of 18-month unilateral follow-up in surveillance of probably benign mammographic lesions, AJR Am J Roentgenol, 202, 922, 10.2214/AJR.13.11137

Helvie, 1991, Mammographic follow-up of low-suspicion lesions: compliance rate and diagnostic yield, Radiology, 178, 155, 10.1148/radiology.178.1.1984295

Baum, 2011, Use of BI-RADS 3-probably benign category in the American College of Radiology Imaging Network Digital Mammographic Imaging Screening Trial, Radiology, 260, 61, 10.1148/radiol.11101285

Aiello Bowles, 2008, Accuracy of short-interval follow-up mammograms by patient and radiologist characteristics, AJR Am J Roentgenol, 190, 1200, 10.2214/AJR.07.3041

Pérez-Stable, 2013, Factors influencing time to diagnosis after abnormal mammography in diverse women, J Womens Health (Larchmt), 22, 159, 10.1089/jwh.2012.3646

Giess, 2019, Patient, radiologist, and examination characteristics affecting screening mammography recall rates in a large academic practice, J Am Coll Radiol, 16, 411, 10.1016/j.jacr.2018.06.016

Lehman, 2019, Mammographic breast density assessment using deep learning: clinical implementation, Radiology, 290, 52, 10.1148/radiol.2018180694

Yasmeen, 2003, Frequency and predictive value of a mammographic recommendation for short-interval follow-up, J Natl Cancer Inst, 95, 429, 10.1093/jnci/95.6.429

Flieger, 2019, Improving interorganizational coordination between primary care and oncology: adapting a chronic care management model for patients with cancer, Med Care Res Rev, 10.1177/1077558719870699

Oeffinger, 2015, Breast cancer screening for women at average risk: 2015 guideline update from the American Cancer Society, JAMA, 314, 1599, 10.1001/jama.2015.12783

Maxwell, 2018, Risk factors for the development of invasive cancer in unresected ductal carcinoma in situ, Eur J Surg Oncol, 44, 429, 10.1016/j.ejso.2017.12.007

Smith, 2019, Cancer screening in the United States, 2019: a review of current American Cancer Society guidelines and current issues in cancer screening, CA Cancer J Clin, 69, 184, 10.3322/caac.21557

Press, 2008, Racial/ethnic disparities in time to follow-up after an abnormal mammogram, J Womens Health (Larchmt), 17, 923, 10.1089/jwh.2007.0402

Hieman, 2015

Sabatino, 2008, Disparities in mammography use among US women aged 40-64 years, by race, ethnicity, income, and health insurance status, 1993 and 2005, Med Care, 46, 692, 10.1097/MLR.0b013e31817893b1

Powell, 2017, Impact of the addition of digital breast tomosynthesis (DBT) to standard 2D digital screening mammography on the rates of patient recall, cancer detection, and recommendations for short-term follow-up, Acad Radiol, 24, 302, 10.1016/j.acra.2016.10.001

Giess, 2017, Comparing diagnostic performance of digital breast tomosynthesis and full-field digital mammography in a hybrid screening environment, AJR Am J Roentgenol, 209, 929, 10.2214/AJR.17.17983