Table 4.
First screen (two view mammography) | Subsequent screens (single view mammography) | |
---|---|---|
Age trial | 73.6 | 55.2 |
Model D | 73.6 | 55.3 |
Model E | 72.5 | 55.7 |
Model M* | - | - |
Model S | 75.5 | 59.0 |
Model W | 67.7 | 59.6 |
Model M is a Bayesian without a natural history part and a woman’s disease status is unknown. As a result sensitivity is not applicable. Model M simulates screen- and clinically-detected incidences without knowing the true disease status.
Sensitivity of screening and screen detection is modeled differently in various models. In the continuous tumor growth models E, S, and W screen detection of tumors is simulated by transforming sensitivity to a threshold tumor size at which tumors can be screen detected. On the other hand, model D uses sensitivity of screening by simulating a shift to a less-advanced stage of breast cancer.