Evidence-based radiology: why and how?
- PMID: 20069736
- DOI: 10.1007/s00330-009-1574-4
Evidence-based radiology: why and how?
Abstract
Purpose: To provide an overview of evidence-based medicine (EBM) in relation to radiology and to define a policy for adoption of this principle in the European radiological community.
Results: Starting from Sackett's definition of EBM we illustrate the top-down and bottom-up approaches to EBM as well as EBM's limitations. Delayed diffusion and peculiar features of evidence-based radiology (EBR) are defined with emphasis on the need to shift from the demonstration of the increasing ability to see more and better, to the demonstration of a significant change in treatment planning or, at best, of a significant gain in patient outcome. The "as low as reasonably achievable" (ALARA) principle is thought as a dimension of EBR while EBR is proposed as part of the core curriculum of radiology residency. Moreover, we describe the process of health technology assessment in radiology with reference to the six-level scale of hierarchy of studies on diagnostic tests, the main sources of bias in studies on diagnostic performance, and levels of evidence and degrees of recommendations according to the Centre for Evidence-Based Medicine (Oxford, UK) as well as the approach proposed by the GRADE working group. Problems and opportunities offered by evidence-based guidelines in radiology are considered. Finally, we suggest nine points to be actioned by the ESR in order to promote EBR.
Conclusion: Radiology will benefit greatly from the improvement in practice that will result from adopting this more rigorous approach to all aspects of our work.
Similar articles
-
Evidence-based radiology: review and dissemination.Radiology. 2007 Aug;244(2):331-6. doi: 10.1148/radiol.2442051766. Radiology. 2007. PMID: 17641360 Review.
-
The future of Cochrane Neonatal.Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12. Early Hum Dev. 2020. PMID: 33036834
-
Technology assessment in radiology: putting the evidence in evidence-based radiology.Radiology. 2007 Jul;244(1):31-8. doi: 10.1148/radiol.2441051790. Epub 2007 May 23. Radiology. 2007. PMID: 17522346 Review.
-
[Evidence-based radiology: a new approach to evaluate the clinical practice of radiology].Rofo. 2006 Jul;178(7):671-9. doi: 10.1055/s-2006-926711. Rofo. 2006. PMID: 16817121 Review. German.
-
[A review of current concepts in evidence-based radiology].Gac Med Mex. 2007 Nov-Dec;143(6):489-97. Gac Med Mex. 2007. PMID: 18269080 Review. Spanish.
Cited by
-
Design-related bias in estimates of accuracy when comparing imaging tests: examples from breast imaging research.Eur Radiol. 2010 Sep;20(9):2061-6. doi: 10.1007/s00330-010-1779-6. Eur Radiol. 2010. PMID: 20393716
-
Human, All Too Human? An All-Around Appraisal of the "Artificial Intelligence Revolution" in Medical Imaging.Front Psychol. 2021 Sep 28;12:710982. doi: 10.3389/fpsyg.2021.710982. eCollection 2021. Front Psychol. 2021. PMID: 34650476 Free PMC article. Review.
-
Clinical trials in radiology and data sharing: results from a survey of the European Society of Radiology (ESR) research committee.Eur Radiol. 2019 Sep;29(9):4794-4802. doi: 10.1007/s00330-019-06105-y. Epub 2019 Feb 27. Eur Radiol. 2019. PMID: 30810796
-
Impact and effect of imaging referral guidelines on patients and radiology services: a systematic review.Eur Radiol. 2025 Jan;35(1):532-541. doi: 10.1007/s00330-024-10938-7. Epub 2024 Jul 13. Eur Radiol. 2025. PMID: 39002059 Free PMC article.
-
Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists.Med Oncol. 2020 Apr 3;37(5):40. doi: 10.1007/s12032-020-01368-8. Med Oncol. 2020. PMID: 32246300 Review.
References
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous