Martin Beeres, Marcus Römer, Boris Bodelle, Clara Lee, Tatjana Gruber-Rouh, Emmanuel Mbalisike, Josef M. Kerl, Julian Wichmann, Boris Schulz, Thomas J. Vogl, Ralf W. Bauer
- Background: Evaluation of automated attenuation-based tube potential selection and its impact on image quality and radiation dose in CT (computed tomography) examinations for cancer staging.
Methods: A total of 110 (59 men, 51 women) patients underwent chest-abdomen-pelvis CT examinations; 55 using a fixed tube potential of 120 kV/current of 210 Reference mAs (using CareDose4D), and 55 using automated attenuation-based tube potential selection (CAREkV) also using a current of 210 Reference mAs. This evaluation was performed as a single-centre, observer-blinded retrospective analysis. Image quality was assessed by two readers in consensus. Attenuation, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured or calculated for objective image evaluation. For the evaluation of radiation exposure, dose-length-product (DLP) values were compared and Size-specific dose estimates (SSDE) values were calculated.
Results: Diagnostic image quality was obtained from all patients. The median DLP (703.5 mGy · cm, range 390–2203 mGy · cm) was 7.9% lower when using the algorithm compared with the standard 120 kV protocol (median 756 mGy · cm, range 345–2267 mGy · cm). A reduction in potential to 100 kV occurred in 32 cases; therefore, these patients received significantly lower radiation exposure compared with the 120 kV protocol.
Conclusion: Automated attenuation-based tube potential selection produces good diagnostic image quality in chest-abdomen-pelvis CT and reduces the patient’s overall radiation dose by 7.9% compared to the standard 120 kV protocol.
Metadaten| Author: | Martin BeeresGND, Marcus Römer, Boris BodelleORCiDGND, Clara Lee, Tatjana Gruber-RouhORCiDGND, Emmanuel Mbalisike, Josef M. Kerl, Julian WichmannORCiDGND, Boris Schulz, Thomas J. VoglORCiDGND, Ralf W. Bauer |
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| URN: | urn:nbn:de:hebis:30:3-346182 |
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| URL: | http://www.cancerimagingjournal.com/content/14/1/28 |
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| DOI: | https://doi.org/10.1186/s40644-014-0028-7 |
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| ISSN: | 1470-7330 |
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| Parent Title (English): | Cancer imaging |
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| Publisher: | BioMed Central |
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| Place of publication: | London |
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| Document Type: | Article |
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| Language: | English |
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| Date of Publication (online): | 2014/09/02 |
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| Date of first Publication: | 2014/09/02 |
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| Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
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| Release Date: | 2014/11/04 |
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| Tag: | Cancer; Cancer staging; Multidetector computed tomography; Neoplasms |
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| Volume: | 14 |
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| Issue: | 28 |
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| Page Number: | 8 |
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| Note: | © 2014 Beeres et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
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| HeBIS-PPN: | 366554549 |
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| Institutes: | Medizin / Medizin |
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| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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| Sammlungen: | Universitätspublikationen |
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| Licence (German): |  Creative Commons - Namensnennung 4.0 |
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Creative Commons - Namensnennung 4.0