Literature DB >> 23096181

Lowering kilovoltage to reduce radiation dose in contrast-enhanced abdominal CT: initial assessment of a prototype automated kilovoltage selection tool.

David M Hough1, Joel G Fletcher, Katharine L Grant, Jeff L Fidler, Lifeng Yu, Jennifer R Geske, Rickey E Carter, Rainer Raupach, Bernhard Schmidt, Thomas Flohr, Cynthia H McCollough.   

Abstract

OBJECTIVE: The purpose of this study was to determine whether the use of an automated CT kilovoltage (kV) selection tool (Auto kV) can result in lower radiation dose without sacrificing image quality in contrast-enhanced abdominopelvic CT.
MATERIALS AND METHODS: Tube potential, radiation dose, and iodine contrast-to-noise ratio (CNR) were retrospectively evaluated in 36 patients who underwent abdominopelvic CT with Auto kV, and compared with results from size-matched control patients using identical protocols. Two radiologists evaluated image quality (sharpness, noise, and diagnostic confidence) blinded to kV. Volume CT dose index (CTDI(vol)) was also compared with what each patient would have received from scanning at 120 kV.
RESULTS: Mean (SD) CTDI(vol) was 16.0 (4.4) mGy after Auto kV versus 19.5 (4.0) mGy using standard 120-kV prescription and was 19.3 (6.0) mGy in control subjects (yielding dose reductions of 18.0% and 17.2%, respectively; p < 0.001 for both). Thirty of 36 patients were scanned at 100 kV (median dose reduction, 25%). Auto kV images were rated as very sharp in 33 (92%) and 36 (100%) cases versus 36 (100%) and 35 (97%) of the control cases, with all cases scored as having optimal noise. Readers had full diagnostic confidence in 34 (94%) and 36 (100%) of Auto kV cases; one reader scored "probably confident" in two cases (6%). Iodine CNRs for the aorta, liver, and portal vein were similar between Auto kV cases and control cases (p > 0.50, all comparisons).
CONCLUSION: The use of an automated kV selection tool results in significant dose savings while maintaining diagnostic image quality and iodine CNR.

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Year:  2012        PMID: 23096181     DOI: 10.2214/AJR.12.8637

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  15 in total

1.  Effects of automatic tube potential selection on radiation dose index, image quality, and lesion detectability in pediatric abdominopelvic CT and CTA: a phantom study.

Authors:  Michael F Brinkley; Juan C Ramirez-Giraldo; Ehsan Samei; Daniel J Frush; Kingshuk Roy Choudhury; Joshua M Wilson; Olav I Christianson; Donald P Frush
Journal:  Eur Radiol       Date:  2015-05-20       Impact factor: 5.315

2.  Paediatric CT dose: a multicentre audit of subspecialty practice in Australia and New Zealand.

Authors:  D Jackson; K Atkin; F Bettenay; J Clark; M R Ditchfield; J E Grimm; R Linke; G Long; E Onikul; J Pereira; M Phillips; F Wilson; E Paul; S K Goergen
Journal:  Eur Radiol       Date:  2015-06-03       Impact factor: 5.315

3.  Emerging techniques for dose optimization in abdominal CT.

Authors:  Ravi K Kaza; Joel F Platt; Mitchell M Goodsitt; Mahmoud M Al-Hawary; Katherine E Maturen; Ashish P Wasnik; Amit Pandya
Journal:  Radiographics       Date:  2014 Jan-Feb       Impact factor: 5.333

4.  Diagnostic efficacy of single-pass abdominal multidetector-row CT: prospective evaluation of a low dose protocol.

Authors:  Luigi Camera; Immacolata Liccardo; Federica Romano; Raffaele Liuzzi; Antonio Rispo; Massimo Imbriaco; Anna Testa; Gaetano Luglio; Simona De Fronzo; Fabiana Castiglione; Luigi Bucci; Arturo Brunetti
Journal:  Br J Radiol       Date:  2016-11-09       Impact factor: 3.039

5.  Observer Performance in the Detection and Classification of Malignant Hepatic Nodules and Masses with CT Image-Space Denoising and Iterative Reconstruction.

Authors:  Joel G Fletcher; Lifeng Yu; Zhoubo Li; Armando Manduca; Daniel J Blezek; David M Hough; Sudhakar K Venkatesh; Gregory C Brickner; Joseph C Cernigliaro; Amy K Hara; Jeff L Fidler; David S Lake; Maria Shiung; David Lewis; Shuai Leng; Kurt E Augustine; Rickey E Carter; David R Holmes; Cynthia H McCollough
Journal:  Radiology       Date:  2015-05-26       Impact factor: 11.105

6.  Impact of Photon Counting Detector Technology on kV Selection and Diagnostic Workflow in CT.

Authors:  Wei Zhou; Dilbar Abdurakhimova; Michael Bruesewitz; Ahmed Halaweish; Cynthia H McCollough; Shuai Leng
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-03

7.  Topogram-based automated selection of the tube potential and current in thoraco-abdominal trauma CT - a comparison to fixed kV with mAs modulation alone.

Authors:  Claudia Frellesen; Wenzel Stock; J Matthias Kerl; Thomas Lehnert; Julian L Wichmann; Christoph Nau; Emanuel Geiger; Sebastian Wutzler; Martin Beeres; Boris Schulz; Boris Bodelle; Hanns Ackermann; Thomas J Vogl; Ralf W Bauer
Journal:  Eur Radiol       Date:  2014-05-10       Impact factor: 5.315

8.  Reduced radiation dose and improved image quality at cardiovascular CT angiography by automated attenuation-based tube voltage selection: intra-individual comparison.

Authors:  Aleksander W Krazinski; Felix G Meinel; U Joseph Schoepf; Justin R Silverman; Christian Canstein; Carlo N De Cecco; Lucas L Geyer
Journal:  Eur Radiol       Date:  2014-07-24       Impact factor: 5.315

9.  Image quality and required radiation dose for coronary computed tomography angiography using an automatic tube potential selection technique.

Authors:  Ying Wang; Xiaohua Wang; Yan Zhang; Yuliu Lu; Runze Wu; Huishu Yuan
Journal:  Int J Cardiovasc Imaging       Date:  2014-08-29       Impact factor: 2.357

10.  A Universal Protocol for Abdominal CT Examinations Performed on a Photon-Counting Detector CT System: A Feasibility Study.

Authors:  Wei Zhou; Gregory J Michalak; Jayse M Weaver; Hao Gong; Lifeng Yu; Cynthia H McCollough; Shuai Leng
Journal:  Invest Radiol       Date:  2020-04       Impact factor: 10.065

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