Breast cancer detection rate: designing imaging trials to demonstrate improvements.
OBJECTIVE
To estimate the extent of variability in screening mammography cancer detection rates and its effect on a hypothetical clinical trial of a new screening modality used to measure changes in cancer detection rate.


METHODS
Each registry and the statistical coordinating center received institutional review board approval along with approval for consenting processes or a waiver of consent to enroll participants, link data, and perform analytic studies. This study was HIPAA compliant. The authors estimated the distribution of individual radiologists' breast cancer detection rates for 2,289,132 screening mammograms (9030 cancers) read by 510 radiologists in the United States who participated in the Breast Cancer Surveillance Consortium from 1996 through 2002. They then computed the distributions of breast cancer detection rates expected from a trial of screening mammography and multiple radiologists, as well as similar distributions for a hypothetical new modality that depicts one additional cancer per reader per 1000 screening examinations. Statistical power was calculated.


RESULTS
The mean screening mammography cancer detection rate for individual radiologists was 3.91 cancers (standard deviation, 1.93; range, 0.25-13.75) per 1000 examinations. To achieve 80% power to detect a hypothetical increase of one additional cancer detected per reader per 1000 screening examinations, a trial in which a new modality was compared with standard mammography would require at least 25 radiologists each reading the images of at least 8000 screening examinations or 91 radiologists each reading the images of 1000-2000 examinations.


CONCLUSIONS
The low breast cancer prevalence in an average-risk screening population and the large interradiologist variability in the observed cancer detection rate suggest that for new technologies to demonstrate significant improvement in cancer detection rate in a clinical trial, very large samples of both radiologists and patients will be required.
Jiang
Yulei
Y
Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL 60637, USA. y-jiang@uchicago.edu
Miglioretti
Diana L
DL
Metz
Charles E
CE
Schmidt
Robert A
RA
D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000453:epidemiology*; D002986:Clinical Trials as Topic / Q000379:methods*; D015340:Epidemiologic Research Design; D005260:Female; D006801:Humans; D008327:Mammography / Q000706:statistics & numerical data*; D008403:Mass Screening / Q000706:statistics & numerical data*; D011856:Radiographic Image Enhancement / Q000379:methods; D012042:Registries; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014481:United States / Q000453:epidemiology