Cumulative 6-Year Risk of Screen-Detected Ductal Carcinoma In Situ by Screening Frequency

Author:

Sprague Brian L.123,Chen Shuai4,Miglioretti Diana L.45,Gard Charlotte C.6,Tice Jeffrey A.7,Hubbard Rebecca A.8,Aiello Bowles Erin J.5,Kaufman Peter A.9,Kerlikowske Karla101112

Affiliation:

1. Office of Health Promotion Research, University of Vermont, Burlington

2. Department of Surgery, University of Vermont, Burlington

3. University of Vermont Cancer Center, Burlington

4. Division of Biostatistics, Department of Public Health Sciences, University of California, Davis

5. Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle

6. Department of Economics, Applied Statistics, and International Business, New Mexico State University, Las Cruces

7. Division of General Internal Medicine, Department of Medicine, University of California, San Francisco

8. Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia

9. Division of Hematology/Oncology, University of Vermont Cancer Center, Burlington

10. Department of Medicine, University of California, San Francisco

11. Department of Epidemiology and Biostatistics, University of California, San Francisco

12. General Internal Medicine Section, Department of Veterans Affairs, University of California, San Francisco

Abstract

ImportanceDetection of ductal carcinoma in situ (DCIS) by mammography screening is a controversial outcome with potential benefits and harms. The association of mammography screening interval and woman’s risk factors with the likelihood of DCIS detection after multiple screening rounds is poorly understood.ObjectiveTo develop a 6-year risk prediction model for screen-detected DCIS according to mammography screening interval and women’s risk factors.Design, Setting, and ParticipantsThis Breast Cancer Surveillance Consortium cohort study assessed women aged 40 to 74 years undergoing mammography screening (digital mammography or digital breast tomosynthesis) from January 1, 2005, to December 31, 2020, at breast imaging facilities within 6 geographically diverse registries of the consortium. Data were analyzed between February and June 2022.ExposuresScreening interval (annual, biennial, or triennial), age, menopausal status, race and ethnicity, family history of breast cancer, benign breast biopsy history, breast density, body mass index, age at first birth, and false-positive mammography history.Main Outcomes and MeasuresScreen-detected DCIS defined as a DCIS diagnosis within 12 months after a positive screening mammography result, with no concurrent invasive disease.ResultsA total of 916 931 women (median [IQR] age at baseline, 54 [46-62] years; 12% Asian, 9% Black, 5% Hispanic/Latina, 69% White, 2% other or multiple races, and 4% missing) met the eligibility criteria, with 3757 screen-detected DCIS diagnoses. Screening round–specific risk estimates from multivariable logistic regression were well calibrated (expected-observed ratio, 1.00; 95% CI, 0.97-1.03) with a cross-validated area under the receiver operating characteristic curve of 0.639 (95% CI, 0.630-0.648). Cumulative 6-year risk of screen-detected DCIS estimated from screening round–specific risk estimates, accounting for competing risks of death and invasive cancer, varied widely by all included risk factors. Cumulative 6-year screen-detected DCIS risk increased with age and shorter screening interval. Among women aged 40 to 49 years, the mean 6-year screen-detected DCIS risk was 0.30% (IQR, 0.21%-0.37%) for annual screening, 0.21% (IQR, 0.14%-0.26%) for biennial screening, and 0.17% (IQR, 0.12%-0.22%) for triennial screening. Among women aged 70 to 74 years, the mean cumulative risks were 0.58% (IQR, 0.41%-0.69%) after 6 annual screens, 0.40% (IQR, 0.28%-0.48%) for 3 biennial screens, and 0.33% (IQR, 0.23%-0.39%) after 2 triennial screens.Conclusions and RelevanceIn this cohort study, 6-year screen-detected DCIS risk was higher with annual screening compared with biennial or triennial screening intervals. Estimates from the prediction model, along with risk estimates of other screening benefits and harms, could help inform policy makers’ discussions of screening strategies.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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