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Single-source chest-abdomen-pelvis cancer staging on a third generation dual-source CT system: comparison of automated tube potential selection to second generation dual-source CT

  • 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.

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Metadaten
Verfasserangaben: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
URN:urn:nbn:de:hebis:30:3-425887
DOI:https://doi.org/10.1186/s40644-016-0093-1
ISSN:1470-7330
Pubmed-Id:https://pubmed.ncbi.nlm.nih.gov/27724954
Titel des übergeordneten Werkes (Englisch):Cancer imaging
Verlagsort:London
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Fertigstellung:2016
Datum der Erstveröffentlichung:10.10.2016
Veröffentlichende Institution:Universitätsbibliothek Johann Christian Senckenberg
Datum der Freischaltung:11.01.2017
Freies Schlagwort / Tag:Automated Tube Potential Selection; Cancer; Cancer Staging; Dual-Source CT; Multidetector Computed Tomography; Neoplasms
Jahrgang:16
Seitenzahl:7
Erste Seite:1
Letzte Seite:7
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.
HeBIS-PPN:427891302
Institute:Medizin / Medizin
DDC-Klassifikation:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Open-Access-Publikationsfonds:Medizin
Lizenz (Deutsch):License LogoCreative Commons - Namensnennung 4.0