Article ; Online: Radiation dose optimization in diagnostic and interventional radiology: Current issues and future perspectives.
2020 Volume 79, Page(s) 16–21
Abstract: The medical radiological imaging technological evolution and wide availability has resulted in the exponential increase in utilization. Evidence for a risk of cancer arising from radiation doses of lower than 100 mSv is still limited. There is a need for ...
Abstract | The medical radiological imaging technological evolution and wide availability has resulted in the exponential increase in utilization. Evidence for a risk of cancer arising from radiation doses of lower than 100 mSv is still limited. There is a need for patient dose optimization. A literature review was conducted to identify the reasons why optimization is important and the steps to be followed for a successful optimization process in digital radiology, Computed Tomography, interventional radiology and mammography. Based on recent literature, 5 steps for a dose optimization process are proposed. These steps are: 1) establishment of a quality assurance programme; a mistake, misuse or malfunction of an X-ray machine can potentially affect the health or life of thousands of people, 2) establishment of a dose optimization team consisting of a radiologist, medical physicist and radiation technologist, 3) determination of baseline dose levels and image quality as well as comparisons with benchmarks to decide which exam protocols should be optimized, 4) modification of protocols by the medical physicist and 5) evaluation of the optimization process and its effect on patient dose and image quality. The optimization process should include joint efforts focused on 1) equipment performance 2) exam protocol customization and 3) staff behaviour. Manufacturers should provide detailed descriptions of exam protocols and training on the use of dose reduction features. The diagnostic radiology medical physicist should emerge and take a proactive lead in the everyday clinical routine in order to promote the value of optimization process. |
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MeSH term(s) | Humans ; Radiation Dosage ; Radiographic Image Enhancement ; Radiography ; Radiology, Interventional ; Tomography, X-Ray Computed |
Language | English |
Publishing date | 2020-10-06 |
Publishing country | Italy |
Document type | Journal Article ; Review |
ZDB-ID | 1122650-x |
ISSN | 1724-191X ; 1120-1797 |
ISSN (online) | 1724-191X |
ISSN | 1120-1797 |
DOI | 10.1016/j.ejmp.2020.09.015 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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