The study will use mammography films randomly sampled from a typical screening population with disease status determined before sampling by biopsy or long-term follow up and subsequent negative mammography exam. These films will be interpreted by radiologists from randomly sampled facilities having a mammography unit accredited by the American College of Radiology. Regression models for ROC curves will be used to relate variability in interpretation and diagnostic accuracy as functions of radiologist and patient characteristics. The influence of comparison exams, geographic variability and intra-reader variability on mammogram interpretation will be investigated.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
7R01CA074110-05
Application #
6212340
Study Section
Special Emphasis Panel (HCT)
Program Officer
Gohagan, John K
Project Start
1997-05-07
Project End
2000-04-30
Budget Start
2000-03-13
Budget End
2000-04-30
Support Year
5
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Medical College of Wisconsin
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
073134603
City
Milwaukee
State
WI
Country
United States
Zip Code
53226
Beam, Craig A; Conant, Emily F; Sickles, Edward A et al. (2003) Evaluation of proscriptive health care policy implementation in screening mammography. Radiology 229:534-40
Beam, Craig A; Conant, Emily F; Sickles, Edward A (2003) Association of volume and volume-independent factors with accuracy in screening mammogram interpretation. J Natl Cancer Inst 95:282-90