TY  - JOUR
A1  - Beeres, Martin
A1  - Römer, Marcus
A1  - Bodelle, Boris
A1  - Lee, Clara
A1  - Gruber-Rouh, Tatjana
A1  - Mbalisike, Emmanuel
A1  - Kerl, Josef M.
A1  - Wichmann, Julian
A1  - Schulz, Boris
A1  - Vogl, Thomas J.
A1  - Bauer, Ralf W.
T1  - Chest-abdomen-pelvis CT for staging in cancer patients : dose effectiveness and image quality using automated attenuation-based tube potential selection
T2  - Cancer imaging
N2  - 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.
KW  - Multidetector computed tomography
KW  - Cancer
KW  - Cancer staging
KW  - Neoplasms
Y1  - 2014
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/34618
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-346182
UR  - http://www.cancerimagingjournal.com/content/14/1/28
SN  - 1470-7330
N1  - © 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.
VL  - 14
IS  - 28
PB  - BioMed Central
CY  - London
ER  -