Bayesian Estimation of Mean Sojourn Time and Sensitivity in the Czech Organized Mammography Screening Programme

BUREŠOVÁ, Lucie, Ondřej MÁJEK, Jan DANEŠ, Helena BARTOŇKOVÁ, Miroslava SKOVAJSOVÁ a Ladislav DUŠEK. Bayesian Estimation of Mean Sojourn Time and Sensitivity in the Czech Organized Mammography Screening Programme. In Sixth Workshop on BAYESIAN INFERENCE IN STOCHASTIC PROCESSES. 2009.

Základní údaje

• Originální název: Bayesian Estimation of Mean Sojourn Time and Sensitivity in the Czech Organized Mammography Screening Programme
• Autoři: BUREŠOVÁ, Lucie, Ondřej MÁJEK, Jan DANEŠ, Helena BARTOŇKOVÁ, Miroslava SKOVAJSOVÁ a Ladislav DUŠEK.
• Vydání: Sixth Workshop on BAYESIAN INFERENCE IN STOCHASTIC PROCESSES, 2009.

Další údaje

• Typ výsledku: Prezentace na konferencích
• Utajení: není předmětem státního či obchodního tajemství
• Organizační jednotka: Institut biostatistiky a analýz
• Příznaky: Mezinárodní význam

Anotace

Organized breast cancer screening programme in the Czech Republic was initiated in September 2002. Free biennial preventive mammography examinations are offered to women aged 45-69. By year 2007 1,067,836 women were screened (more than 50% of the target population) in 1,611,582 examinations. A total of 7,835 cases of breast cancer were detected. Important parameters in assessing the quality of the programme and natural history of breast cancer are: mean duration of the preclinical screen-detectable phase (the carcinoma is without clinical signs but it could be found by the screening test - mammography), which is called mean sojourn time, and sensitivity of mammography (capability of the test to detect cancer). These parameters are not directly observable; however, they can be estimated using mathematical models. Both parameters were estimated for different age groups of women in target population. Simple tree-state Markov model with states: disease free - preclinical screen-detectable - clinical disease was developed and utilized for estimation. Analysis was performed using WinBUGS programme.