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The Efficacy of Diagnostic Imaging

Author

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  • Dennis G. Fryback
  • John R. Thornbury

Abstract

The authors discuss the assessment of the contribution of diagnostic imaging to the patient management process. A hierarchical model of efficacy is presented as an organizing structure for appraisal of the literature on efficacy of imaging. Demonstration of efficacy at each lower level in this hierarchy is logically necessary, but not sufficient, to assure efficacy at higher levels. Level 1 concerns technical quality of the images; Level 2 addresses diagnostic ac curacy, sensitivity, and specificity associated with interpretation of the images. Next, Level 3 focuses on whether the information produces change in the referring physician's diagnostic thinking. Such a change is a logical prerequisite for Level 4 efficacy, which concerns effect on the patient management plan. Level 5 efficacy studies measure (or compute) effect of the information on patient outcomes. Finally, at Level 6, analyses examine societal costs and benefits of a diagnostic imaging technology. The pioneering contributions of Dr. Lee B. Lusted in the study of diagnostic imaging efficacy are highlighted.

Suggested Citation

  • Dennis G. Fryback & John R. Thornbury, 1991. "The Efficacy of Diagnostic Imaging," Medical Decision Making, , vol. 11(2), pages 88-94, June.
    • Handle: RePEc:sae:medema:v:11:y:1991:i:2:p:88-94
    DOI: 10.1177/0272989X9101100203
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    Cited by:

    1. Ilda Hoxhaj & Laurenz Govaerts & Steven Simoens & Walter Van Dyck & Isabelle Huys & Iñaki Gutiérrez-Ibarluzea & Stefania Boccia, 2020. "A Systematic Review of the Value Assessment Frameworks Used within Health Technology Assessment of Omics Technologies and Their Actual Adoption from HTA Agencies," IJERPH, MDPI, vol. 17(21), pages 1-21, October.
    2. George Laking & Joanne Lord & Alastair Fischer, 2006. "The economics of diagnosis," Health Economics, John Wiley & Sons, Ltd., vol. 15(10), pages 1109-1120, October.
    3. Peter J. Neumann & Joshua T. Cohen & James K. Hammitt & Thomas W. Concannon & Hannah R. Auerbach & ChiHui Fang & David M. Kent, 2012. "Willingness‐to‐pay for predictive tests with no immediate treatment implications: a survey of US residents," Health Economics, John Wiley & Sons, Ltd., vol. 21(3), pages 238-251, March.

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