Radiologist Characteristics Associated with Interpretive Performance of Screening Mammography: A National Mammography Database (NMD) Study

被引:19
作者
Lee, Cindy S. [1 ]
Moy, Linda [1 ]
Hughes, Danny [2 ]
Golden, Dan [3 ]
Bhargavan-Chatfield, Mythreyi [3 ]
Hemingway, Jennifer [2 ]
Geras, Agnieszka [4 ]
Duszak, Richard [2 ,5 ]
Rosenkrantz, Andrew B. [1 ,2 ]
机构
[1] New York Univ Langone Hlth, Dept Radiol, 660 1st Ave,3rd Floor, New York, NY 10016 USA
[2] Harvey L Neiman Hlth Policy Inst, Reston, VA USA
[3] Amer Coll Radiol, Reston, VA USA
[4] Warsaw Univ Technol, Fac Math & Informat Sci, Warsaw, Poland
[5] Emory Univ, Dept Radiol & Imaging Sci, Atlanta, GA 30322 USA
关键词
CANCER SURVEILLANCE CONSORTIUM; BREAST-CANCER; DIAGNOSTIC MAMMOGRAPHY; RANDOMIZED-TRIAL; VOLUME; BENCHMARKS; ACCURACY; WOMEN; ULTRASOUND; MORTALITY;
D O I
10.1148/radiol.2021204379
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background: Factors affecting radiologists' performance in screening mammography interpretation remain poorly understood. Purpose: To identify radiologists characteristics that affect screening mammography interpretation performance. Materials and Methods: This retrospective study included 1223 radiologists in the National Mammography Database (NMD) from 2008 to 2019 who could be linked to Centers for Medicare & Medicaid Services (CMS) datasets. NMD screening performance metrics were extracted. Acceptable ranges were defined as follows: recall rate (RR) between 5% and 12%; cancer detection rate (CDR) of at least 2.5 per 1000 screening examinations; positive predictive value of recall (PPV1) between 3% and 8%; positive predictive value of biopsies recommended (PPV2) between 20% and 40%; positive predictive value of biopsies performed (PPV3) between the 25th and 75th percentile of study sample; invasive CDR of at least the 25th percentile of the study sample; and percentage of ductal carcinoma in situ (DCIS) of at least the 25th percentile of the study sample. Radiologist characteristics extracted from CMS datasets included demographics, subspecialization, and clinical practice patterns. Multivariable stepwise logistic regression models were performed to identify characteristics independently associated with acceptable performance for the seven metrics. The most influential characteristics were defined as those independently associated with the majority of the metrics (at least four). Results: Relative to radiologists practicing in the Northeast, those in the Midwest were more likely to achieve acceptable RR, PPV1, PPV2, and CDR (odds ratio [OR], 1.4-2.5); those practicing in the West were more likely to achieve acceptable RR, PPV2, and PPV3 (OR, 1.7-2.1) but less likely to achieve acceptable invasive CDR (OR, 0.6). Relative to general radiologists, breast imagers were more likely to achieve acceptable PPV1, invasive CDR, percentage DCIS, and CDR (OR, 1.4-4.4). Those performing diagnostic mammography were more likely to achieve acceptable PPV1, PPV2, PPV3, invasive CDR, and CDR (OR, 1.9-2.9). Those performing breast US were less likely to achieve acceptable PPV1, PPV2, percentage DCIS, and CDR (OR, 0.5-0.7). Conclusion: The geographic location of the radiology practice, subspecialization in breast imaging, and performance of diagnostic mammography are associated with better screening mammography performance; performance of breast US is associated with lower performance. (C) RSNA, 2021
引用
收藏
页码:518 / 528
页数:11
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