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Dose optimization in paranasal sinus imaging and the significance of tin filter protocols in CT diagnostics
The CT and DVT imaging of the NNH has the conventional imaging almost completely replaced. The use of mod. Hardware and software tools the dose could be further reduced.
We investigated the radiation exposure of the last 7 years at various devices and various iterative reconstruction procedures. Furthermore were tested on a phantom established and experimental protocols and objectively and subjectively in an online survey of 71 ENT doctors and radiologists.
Materials and methods There have been 1100 CT scans of 3 different Scanners with different protocols and reconstruction procedures, as well as 51 DVT scans are evaluated. In addition, on a phantom, several different Protocols tested and the acquired images in an online questionnaire from ENT doctors and radiologies.
Results We were able to achieve a very strong dose reduction in all questions of (sinusitis/trauma/tumor) in the last 7 years due to of hardware and software improvements. All 12 protocols tested on the Phantom were considered sufficient for sinusitis diagnosis. To surgery as well as trauma and tumor diagnostics were slightly higher than in the previous year.
Conclusions Through modern reconstruction procedures and the use of of pre-filters, the dose exposure in NNH imaging could be massively and for standard questions lies far below the level of the values of the last years as well as the DVT. By tin filters the dose of will be further reduced. Only in the case of special questions higher dose values are necessary for the fine bone structure.
Article published online:
10 June 2020
© 2020. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).
© Georg Thieme Verlag KG
Stuttgart · New York