Skip to main content
. Author manuscript; available in PMC: 2019 Apr 1.
Published in final edited form as: Med Decis Making. 2018 Apr;38(1 Suppl):126Sā€“139S. doi: 10.1177/0272989X17729358

Table 3.

Detection and overdiagnosis of DCIS and invasive disease across the CISNET models for biennial screening from age 50-74 years.

Model DCIS dx per 1000 DCIS overdx per 1000 %overdx DCIS invasive dx per 1000 invasive overdx per 1000 %overdx invasive total dx per 1000 overdx per 1000 %overdx (DCIS + invasive)
D 30.2 15.5 51.3% 128.3 3.3 2.6% 158.5 18.8 11.9%
E 25.8 16.1 62.4% 131.8 2.0 1.5% 157.6 18.1 11.5%
GE 26.7 9.0 33.7% 110.7 1.8 1.6% 137.4 10.8 7.9%
M 26.2 18.8 71.8% 128.2 15.4 12.0% 154.4 34.2 22.2%
W 32.3 15.6 48.3% 114.8 9.9 8.6% 147.1 25.5 17.3%

Median 26.7 15.6 51.3% 128.2 3.3 2.6% 154.4 18.8 11.9%

Model D: Dana-Farber Cancer Institute, Boston, Massachusetts. Model E: Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands. Model GE: Georgetown University Medical Center, Washington, DC, and Albert Einstein College of Medicine, Bronx, New York. Model M: MD Anderson Cancer Center, Houston, Texas. Model W: University of Wisconsin-Madison, Madison, Wisconsin, and Harvard Medical School, Boston, Massachusetts.