Many of the investigations that are now carried out during imaging systems' evaluations and comparisons include interpretation (reading) studies of normal and abnormal cases that are evaluated by receiver operating characteristics (ROC) or derivative thereof. Unfortunately, if one takes into account case selection representation and reader variability most studies would require a prohibitively large sample size to produce adequate statistical power for a statistically significant discrimination between reading modes in a manner which is both clinically relevant and generalizable. Approaches to case selection protocols for observer performance studies in this field have been largely arbitrary. We propose to investigate the possibility that the implementation of specific case selection protocols could allow one to focus on limited clinical questions which can be conclusively answered with an observer performance study requiring a much smaller sample size; hence, making such studies much more feasible and reasonable to perform. In addition, in conjunction with data on the proportion of such cases in the clinical environment (general ensemble of images), generalization of the results and or inference on the impact on clinical practices could be done.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
7R01CA067947-02
Application #
2414399
Study Section
Special Emphasis Panel (ZRG7-DMG (01))
Project Start
1996-05-01
Project End
1998-08-31
Budget Start
1997-06-01
Budget End
1998-08-31
Support Year
2
Fiscal Year
1997
Total Cost
Indirect Cost
Name
Allegheny University of Health Sciences
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
City
Philadelphia
State
PA
Country
United States
Zip Code
19129
Hardesty, Lara A; Ganott, Marie A; Hakim, Christiane M et al. (2005) ""Memory effect"" in observer performance studies of mammograms. Acad Radiol 12:286-90
Klym, Amy H; King, Jill L; Hardesty, Lara (2004) The effect of routine use of a computer-aided detection system on the practice of breast imagers: a subjective assessment. Acad Radiol 11:711-3
Gur, David; Sumkin, Jules H; Rockette, Howard E et al. (2004) Changes in breast cancer detection and mammography recall rates after the introduction of a computer-aided detection system. J Natl Cancer Inst 96:185-90
Gur, David; Sumkin, Jules H; Hardesty, Lara A et al. (2004) Recall and detection rates in screening mammography. Cancer 100:1590-4
Mello-Thoms, Claudia (2003) Perception of breast cancer: eye-position analysis of mammogram interpretation. Acad Radiol 10:4-12
Mello-Thoms, Claudia; Dunn, Stanley M; Nodine, Calvin F et al. (2003) The perception of breast cancers--a spatial frequency analysis of what differentiates missed from reported cancers. IEEE Trans Med Imaging 22:1297-306
Mello-Thoms, Claudia; Dunn, Stanley; Nodine, Calvin F et al. (2002) The perception of breast cancer: what differentiates missed from reported cancers in mammography? Acad Radiol 9:1004-12
Fuhrman, Carl R; Britton, Cynthia A; Bender, Thomas et al. (2002) Observer performance studies: detection of single versus multiple abnormalities of the chest. AJR Am J Roentgenol 179:1551-3
Rockette, H E; Li, W; Brown, M L et al. (2001) Statistical test to assess rank-order imaging studies. Acad Radiol 8:24-30
Swensson, R G (2000) Using localization data from image interpretations to improve estimates of performance accuracy. Med Decis Making 20:170-85

Showing the most recent 10 out of 16 publications