Clara Park, Tatjana Gruber-Rouh, Doris Leithner, Amelie Zierden, Moritz Hans Ernst Albrecht, Julian Wichmann, Boris Bodelle, Mohamed Elsabaie, Jan-Erik Scholtz, Moritz Kaup, Thomas J. Vogl, Martin Beeres
- BACKGROUND: Evaluation of latest generation automated attenuation-based tube potential selection (ATPS) impact on image quality and radiation dose in contrast-enhanced chest-abdomen-pelvis computed tomography examinations for gynaecologic cancer staging.
METHODS: This IRB approved single-centre, observer-blinded retrospective study with a waiver for informed consent included a total of 100 patients with contrast-enhanced chest-abdomen-pelvis CT for gynaecologic cancer staging. All patients were examined with activated ATPS for adaption of tube voltage to body habitus. 50 patients were scanned on a third-generation dual-source CT (DSCT), and another 50 patients on a second-generation DSCT. Predefined image quality setting remained stable between both groups at 120 kV and a current of 210 Reference mAs. Subjective image quality assessment was performed by two blinded readers independently. Attenuation and image noise were measured in several anatomic structures. Signal-to-noise ratio (SNR) was calculated. For the evaluation of radiation exposure, CT dose index (CTDIvol) values were compared.
RESULTS: Diagnostic image quality was obtained in all patients. The median CTDIvol (6.1 mGy, range 3.9-22 mGy) was 40 % lower when using the algorithm compared with the previous ATCM protocol (median 10.2 mGy · cm, range 5.8-22.8 mGy). A reduction in potential to 90 kV occurred in 19 cases, a reduction to 100 kV in 23 patients and a reduction to 110 kV in 3 patients of our experimental cohort. These patients received significantly lower radiation exposure compared to the former used protocol.
CONCLUSION: Latest generation automated ATPS on third-generation DSCT provides good diagnostic image quality in chest-abdomen-pelvis CT while average radiation dose is reduced by 40 % compared to former ATPS protocol on second-generation DSCT.
MetadatenVerfasserangaben: | Clara Park, Tatjana Gruber-RouhORCiDGND, Doris Leithner, Amelie Zierden, Moritz Hans Ernst AlbrechtORCiDGND, Julian WichmannORCiDGND, Boris BodelleORCiDGND, Mohamed Elsabaie, Jan-Erik ScholtzGND, Moritz Kaup, Thomas J. VoglORCiDGND, Martin BeeresGND |
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URN: | urn:nbn:de:hebis:30:3-425887 |
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DOI: | https://doi.org/10.1186/s40644-016-0093-1 |
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ISSN: | 1470-7330 |
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Pubmed-Id: | https://pubmed.ncbi.nlm.nih.gov/27724954 |
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Titel des übergeordneten Werkes (Englisch): | Cancer imaging |
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Verlagsort: | London |
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Dokumentart: | Wissenschaftlicher Artikel |
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Sprache: | Englisch |
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Jahr der Fertigstellung: | 2016 |
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Datum der Erstveröffentlichung: | 10.10.2016 |
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Veröffentlichende Institution: | Universitätsbibliothek Johann Christian Senckenberg |
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Datum der Freischaltung: | 11.01.2017 |
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Freies Schlagwort / Tag: | Automated Tube Potential Selection; Cancer; Cancer Staging; Dual-Source CT; Multidetector Computed Tomography; Neoplasms |
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Jahrgang: | 16 |
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Seitenzahl: | 7 |
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Erste Seite: | 1 |
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Letzte Seite: | 7 |
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Bemerkung: | © 2016 The Author(s). Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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: | 427891302 |
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Institute: | Medizin / Medizin |
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DDC-Klassifikation: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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Sammlungen: | Universitätspublikationen |
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Open-Access-Publikationsfonds: | Medizin |
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Lizenz (Deutsch): | Creative Commons - Namensnennung 4.0 |
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