Estimating Age-Specific Mean Sojourn Time of Breast Cancer and Sensitivity of Mammographic Screening by Breast Density among Korean Women
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Purpose High breast cancer incidence and dense breast prevalence among women in forties are specific to Asian. This study examined the natural history of breast cancer among Korean women.Materials and Methods We applied a three-state Markov model (i.e., healthy, preclinical, and clinical state) to fit the natural history of breast cancer to data in the Korean National Cancer Screening Program. Breast cancer was ascertained by linkage to the Korean Central Cancer Registry. Disease-progression rates (i.e., transition rates between three states), mean sojourn time (MST) and mammographic sensitivity were estimated across 10-year age groups and levels of breast density determined by the Breast Imaging, Reporting and Data System.Results Overall prevalence of dense breast was 53.9%. Transition rate from healthy to preclinical state, indicating the preclinical incidence of breast cancer, was higher among women in forties (0.0019; 95% confidence interval [CI], 0.0017 to 0.0021) and fifties (0.0020; 95% CI, 0.0017 to 0.0022), than women in sixties (0.0014; 95% CI, 0.0012 to 0.0017). The MSTs, in which the tumor is asymptomatic but detectable by screening, were also fastest among younger age groups, estimated as 1.98 years (95% CI, 1.67 to 2.33), 2.49 years (95% CI, 1.92 to 3.22), and 3.07 years (95% CI, 2.11 to 4.46) for women in forties, fifties, and sixties, respectively. Having dense breasts increased the likelihood of the preclinical cancer risk (1.96 to 2.35 times) and decreased the duration of MST (1.53 to 2.02 times).Conclusion This study estimated Korean-specific natural history parameters of breast cancer that would be utilized for establishing optimal screening strategies in countries with higher dense breast prevalence.
Abstract
Purpose High breast cancer incidence and dense breast prevalence among women in forties are specific to Asian. This study examined the natural history of breast cancer among Korean women.Materials and Methods We applied a three-state Markov model (i.e., healthy, preclinical, and clinical state) to fit the natural history of breast cancer to data in the Korean National Cancer Screening Program. Breast cancer was ascertained by linkage to the Korean Central Cancer Registry. Disease-progression rates (i.e., transition rates between three states), mean sojourn time (MST) and mammographic sensitivity were estimated across 10-year age groups and levels of breast density determined by the Breast Imaging, Reporting and Data System.Results Overall prevalence of dense breast was 53.9%. Transition rate from healthy to preclinical state, indicating the preclinical incidence of breast cancer, was higher among women in forties (0.0019; 95% confidence interval [CI], 0.0017 to 0.0021) and fifties (0.0020; 95% CI, 0.0017 to 0.0022), than women in sixties (0.0014; 95% CI, 0.0012 to 0.0017). The MSTs, in which the tumor is asymptomatic but detectable by screening, were also fastest among younger age groups, estimated as 1.98 years (95% CI, 1.67 to 2.33), 2.49 years (95% CI, 1.92 to 3.22), and 3.07 years (95% CI, 2.11 to 4.46) for women in forties, fifties, and sixties, respectively. Having dense breasts increased the likelihood of the preclinical cancer risk (1.96 to 2.35 times) and decreased the duration of MST (1.53 to 2.02 times).Conclusion This study estimated Korean-specific natural history parameters of breast cancer that would be utilized for establishing optimal screening strategies in countries with higher dense breast prevalence.
참고문헌 (31)
- Choi E, "Relationship between cancer worry and stages of adoption for breast cancer screening among Korean women", PLoS One, 10, pp.e0132351~ (2015)
- McCormack VA, "Breast density and paren-chymal patterns as markers of breast cancer risk : a meta-analysis", Cancer Epidemiol Biomarkers Prev, 15, pp.1159~1169 (2006)
- Boyd NF, "Mammographic density and the risk and detection of breast cancer", N Engl J Med, 356, pp.227~236 (2007)
- Park B, "Does breast density measured through population-based screening independently increase breast cancer risk in Asian females?", Clin Epidemiol, 10, pp.61~70 (2018)
- Burton A, "Mammographic density and ageing : a collaborative pooled analysis of cross-sectional data from 22 countries worldwide", PLoS Med, 14, pp.e1002335~ (2017)
- Siu AL, "S. Preventive Services Task Force. Screening for breast cancer : U. S. Preventive Services Task Force recommendation statement", Ann Intern Med, 164, pp.279~296 (2016)
- Hamashima C, "The Japanese guidelines for breast cancer screening", Jpn J Clin Oncol, 46, pp.482~492 (2016)
- Yen AM, "Population-based breast cancer screening with risk-based and universal mammography screening compared with clinical breast examination : a propensity score analysis of 1429890 Taiwanese women", JAMA Oncol, 2, pp.915~921 (2016)
- Choi E, "Effectiveness of the Korean National Cancer Screening Program in reducing breast cancer mortality", NPJ Breast Cancer, 7, pp.83~ (2021)
- Day NE, "Simplified models of screening for chronic disease : estimation procedures from mass screening programmes", Biometrics, 40, pp.1~14 (1984)
- Paci E, "Modelling the analysis of breast cancer screening programmes : sensitivity, lead time and predictive value in the Florence District Programme(1975-1986)", Int J Epidemiol, 20, pp.852~858 (1991)
- Duffy SW, "Estimation of mean sojourn time in breast cancer screening using a Markov chain model of both entry to and exit from the preclinical detectable phase", Stat Med, 14, pp.1531~1543 (1995)
- Taghipour S, "Parameter estimates for invasive breast cancer progression in the Canadian National Breast Screening Study", Br J Cancer, 108, pp.542~548 (2013)
- Tan KH, "Quantifying the natural history of breast cancer", Br J Cancer, 109, pp.2035~2043 (2013)
- Jackson CH, "Multi-state models for panel data : the msm package for R", J Stat Sofw, 38, pp.1~29 (2011)
- Aarts A, "Test sensitivity of mammography and mean sojourn time over 40 years of breast cancer screening in Nijmegen(The Netherlands)", J Med Screen, 26, pp.147~153 (2019)
- 이은혜, "Performance of Screening Mammography: A Report of the Alliance for Breast Cancer Screening in Korea", Korean Journal of Radiology, 17(4), pp.489~496 (2016), 대한영상의학회[DOI]
- 류지은, "Trends in the Performance of the Korean National Cancer Screening Program for Gastric Cancer from 2007 to 2016", Cancer Research and Treatment, 54(3), pp.842~849 (2022), 대한암학회[DOI]
- Chiu SY, "Effect of baseline breast density on breast cancer incidence, stage, mortality, and screening parameters : 25-year follow-up of a Swedish mammographic screening", Cancer Epidemiol Biomarkers Prev, 19, pp.1219~1228 (2010)
- Gray RJ, "A class of K-sample tests for comparing the cumulative incidence of a competing risk", Ann Stat, 16, pp.1141~1154 (1988)
- 홍세리, "Cancer Statistics in Korea: Incidence, Mortality, Survival, and Prevalence in 2017", Cancer Research and Treatment, 52(2), pp.335~350 (2020), 대한암학회
- Melnikow J, "Supplemental screening for breast cancer in women with dense breasts : a systematic review for the U. S. Preventive Services Task Force", Ann Intern Med, 164, pp.268~278 (2016)
- Duffy SW, "Sojourn time, sensitivity and positive predictive value of mammography screening for breast cancer in women aged 40-49", Int J Epidemiol, 25, pp.1139~1145 (1996)
- Duffy SW, "Markov models of breast tumor progression : some age-specific results", J Natl Cancer Inst Monogr, (22), pp.93~97 (1997)
- Walter SD, "Estimation of the duration of a pre-clinical disease state using screening data", Am J Epidemiol, 118, pp.865~886 (1983)
- Chen TH, "Estimation of sojourn time in chronic disease screening without data on interval cases", Biometrics, 56, pp.167~172 (2000)
- Jiang H, "Estimation of screening sensitivity and sojourn time from an organized screening program", Cancer Epidemiol, 44, pp.178~185 (2016)
- Wu JC, "Estimation of natural history parameters of breast cancer based on non-randomized organized screening data : subsidiary analysis of effects of inter-screening interval, sensitivity, and attendance rate on reduction of advanced cancer", Breast Cancer Res Treat, 122, pp.553~566 (2010)
- 배종면, "Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies", 예방의학회지, 49(6), pp.367~375 (2016), 대한예방의학회
- Wanders JO, "Volumetric breast density affects performance of digital screening mammography", Breast Cancer Res Treat, 162, pp.95~103 (2017)
- Lee SY, "Scheduling mammography screening for the early detection of breast cancer in Korean women", J Med Screen, 14, pp.205~209 (2007)