[Too little evaluation of diagnostic imaging tests]

Area of Science:

• Medical Imaging
• Diagnostic Technologies
• Health Services Research

Background:

• Diagnostic imaging use is rapidly increasing, offering potential for fast and accurate diagnoses.
• However, imaging tests carry risks and necessitate rigorous evaluation of their analytic validity, clinical validity, and clinical benefit.
• Current research often suffers from poor quality and a lack of studies assessing the added value and clinical utility of imaging.

Purpose of the Study:

• To highlight the critical need for comprehensive evaluation of diagnostic imaging tests.
• To emphasize the challenges and multidisciplinary requirements for assessing the clinical utility of imaging.
• To address the growing societal and governmental pressure for improved evaluation of imaging technologies.

Main Methods:

• Evaluation of diagnostic studies typically involves assessing analytic validity (reliability), clinical validity (predictive values), and clinical benefit (quality of life, life expectancy).
• Methodological challenges exist in researching clinical utility, differing from therapy research.
• Requires multidisciplinary collaboration for robust evaluation.

Main Results:

• Many diagnostic studies exhibit poor quality.
• There is a relative absence of studies evaluating the added value and clinical benefit of imaging tests.
• Research into clinical utility is complex and less developed than therapeutic research.

Conclusions:

• Improved evaluation of diagnostic imaging is essential due to increasing usage and potential harms.
• There is a significant gap in research concerning the clinical utility and benefit of imaging tests.
• Enhanced multidisciplinary research methodologies are needed to meet increasing societal and governmental demands for evidence-based imaging practices.