Computed tomography of the spine : : systematic review on acquisition and reconstruction techniques to reduce radiation dose
Abstract: The introduction of the first whole-body CT scanner in 1974 marked the beginning of cross-sectional spine imaging. In the last decades, the technological advancement, increasing availability and clinical success of CT led to a rapidly growing number of CT examinations, also of the spine. After initially being primarily used for trauma evaluation, new indications continued to emerge, such as assessment of vertebral fractures or degenerative spine disease, preoperative and postoperative evaluation, or CT-guided interventions at the spine; however, improvements in patient management and clinical outcomes come along with higher radiation exposure, which increases the risk for secondary malignancies. Therefore, technical developments in CT acquisition and reconstruction must always include efforts to reduce the radiation dose. But how exactly can the dose be reduced? What amount of dose reduction can be achieved without compromising the clinical value of spinal CT examinations and what can be expected from the rising stars in CT technology: artificial intelligence and photon counting CT? In this article, we try to answer these questions by systematically reviewing dose reduction techniques with respect to the major clinical indications of spinal CT. Furthermore, we take a concise look on the dose reduction potential of future developments in CT hardware and software
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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Clinical neuroradiology. - 33, 2 (2023) , 271-291, ISSN: 1869-1447
- Event
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Veröffentlichung
- (where)
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Freiburg
- (who)
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Universität
- (when)
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2022
- Creator
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Dieckmeyer, Michael
Sollmann, Nico
Kupfer, Karina
Löffler, Maximilian
Paprottka, Karolin J.
Kirschke, Jan
Baum, Thomas
- DOI
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10.1007/s00062-022-01227-1
- URN
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urn:nbn:de:bsz:25-freidok-2316446
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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25.03.2025, 1:54 PM CET
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Dieckmeyer, Michael
- Sollmann, Nico
- Kupfer, Karina
- Löffler, Maximilian
- Paprottka, Karolin J.
- Kirschke, Jan
- Baum, Thomas
- Universität
Time of origin
- 2022