Literature DB >> 24961883

Automated tube voltage adaptation in head and neck computed tomography between 120 and 100 kV: effects on image quality and radiation dose.

Matthias S May1, Manuel R Kramer, Achim Eller, Wolfgang Wuest, Michael Scharf, Michael Brand, Marc Saake, Bernhard Schmidt, Michael Uder, Michael M Lell.   

Abstract

INTRODUCTION: Low tube voltage allows for computed tomography (CT) imaging with increased iodine contrast at reduced radiation dose. We sought to evaluate the image quality and potential dose reduction using a combination of attenuation based tube current modulation (TCM) and automated tube voltage adaptation (TVA) between 100 and 120 kV in CT of the head and neck.
METHODS: One hundred thirty consecutive patients with indication for head and neck CT were examined with a 128-slice system capable of TCM and TVA. Reference protocol was set at 120 kV. Tube voltage was reduced to 100 kV whenever proposed by automated analysis of the localizer. An additional small scan aligned to the jaw was performed at a fixed 120 kV setting. Image quality was assessed by two radiologists on a standardized Likert-scale and measurements of signal- (SNR) and contrast-to-noise ratio (CNR). Radiation dose was assessed as CTDIvol.
RESULTS: Diagnostic image quality was excellent in both groups and did not differ significantly (p = 0.34). Image noise in the 100 kV data was increased and SNR decreased (17.8/9.6) in the jugular veins and the sternocleidomastoid muscle when compared to 120 kV (SNR 24.4/10.3), but not in fatty tissue and air. However, CNR did not differ statistically significant between 100 (23.5/14.4/9.4) and 120 kV data (24.2/15.3/8.6) while radiation dose was decreased by 7-8%.
CONCLUSIONS: TVA between 100 and 120 kV in combination with TCM led to a radiation dose reduction compared to TCM alone, while keeping CNR constant though maintaining diagnostic image quality.

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Year:  2014        PMID: 24961883     DOI: 10.1007/s00234-014-1393-4

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  21 in total

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Authors:  R Gnannt; A Winklehner; R Goetti; B Schmidt; S Kollias; H Alkadhi
Journal:  AJNR Am J Neuroradiol       Date:  2012-02-02       Impact factor: 3.825

Review 2.  Computed tomography--an increasing source of radiation exposure.

Authors:  David J Brenner; Eric J Hall
Journal:  N Engl J Med       Date:  2007-11-29       Impact factor: 91.245

3.  Attenuation-based automatic kilovolt (kV)-selection in computed tomography of the chest: effects on radiation exposure and image quality.

Authors:  Achim Eller; Wolfgang Wuest; Michael Scharf; Michael Brand; Stephan Achenbach; Michael Uder; Michael M Lell
Journal:  Eur J Radiol       Date:  2013-08-30       Impact factor: 3.528

4.  Automatic selection of tube potential for radiation dose reduction in CT: a general strategy.

Authors:  Lifeng Yu; Hua Li; Joel G Fletcher; Cynthia H McCollough
Journal:  Med Phys       Date:  2010-01       Impact factor: 4.071

5.  High-pitch dual-source CT angiography of supra-aortic arteries: assessment of image quality and radiation dose.

Authors:  A Korn; M Fenchel; B Bender; S Danz; C Thomas; D Ketelsen; C D Claussen; G Moonis; B Krauss; M Heuschmid; U Ernemann; H Brodoefel
Journal:  Neuroradiology       Date:  2012-12-08       Impact factor: 2.804

6.  16-MDCT angiography in living kidney donors at various tube potentials: impact on image quality and radiation dose.

Authors:  Dushyant V Sahani; Sanjeeva P Kalva; Peter F Hahn; Sanjay Saini
Journal:  AJR Am J Roentgenol       Date:  2007-01       Impact factor: 3.959

7.  Carotid CTA: radiation exposure and image quality with the use of attenuation-based, automated kilovolt selection.

Authors:  A Eller; W Wuest; M Kramer; M May; A Schmid; M Uder; M M Lell
Journal:  AJNR Am J Neuroradiol       Date:  2013-08-01       Impact factor: 3.825

8.  Cancer risks attributable to low doses of ionizing radiation: assessing what we really know.

Authors:  David J Brenner; Richard Doll; Dudley T Goodhead; Eric J Hall; Charles E Land; John B Little; Jay H Lubin; Dale L Preston; R Julian Preston; Jerome S Puskin; Elaine Ron; Rainer K Sachs; Jonathan M Samet; Richard B Setlow; Marco Zaider
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-10       Impact factor: 11.205

9.  Thoracoabdominal-aortoiliac multidetector-row CT angiography at 80 and 100 kVp: assessment of image quality and radiation dose.

Authors:  Sebastian T Schindera; Patricia Graca; Michael A Patak; Susanne Abderhalden; Gabriel von Allmen; Peter Vock; Zsolt Szucs-Farkas
Journal:  Invest Radiol       Date:  2009-10       Impact factor: 6.016

10.  CT angiography of the head-and-neck vessels acquired with low tube voltage, low iodine, and iterative image reconstruction: clinical evaluation of radiation dose and image quality.

Authors:  Wei-lan Zhang; Min Li; Bo Zhang; Hai-yang Geng; Yin-qiang Liang; Ke Xu; Song-bai Li
Journal:  PLoS One       Date:  2013-12-05       Impact factor: 3.240

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Authors:  Adam N Wallace; Ross Vyhmeister; Swapnil Bagade; Arindam Chatterjee; Brandon Hicks; Juan Carlos Ramirez-Giraldo; Robert C McKinstry
Journal:  Neuroradiology       Date:  2015-03-17       Impact factor: 2.804

Review 2.  [Imaging of the head and neck region].

Authors:  M Lell; K Mantsopoulos; M Uder; W Wuest
Journal:  HNO       Date:  2016-03       Impact factor: 1.284

3.  Reaching for better image quality and lower radiation dose in head and neck CT: advanced modeled and sinogram-affirmed iterative reconstruction in combination with tube voltage adaptation.

Authors:  Andrea I Schmid; Michael Uder; Michael M Lell
Journal:  Dentomaxillofac Radiol       Date:  2016-09-08       Impact factor: 2.419

4.  Head and neck angiography at 70 kVp with a third-generation dual-source CT system in patients: comparison with 100 kVp.

Authors:  Yu Chen; Xiaobo Zhang; Huadan Xue; Yuanli Zhu; Yun Wang; Yumei Li; Zhuhua Zhang; Zhengyu Jin
Journal:  Neuroradiology       Date:  2017-08-24       Impact factor: 2.804

5.  Comparison of virtual monoenergetic and polyenergetic images reconstructed from dual-layer detector CT angiography of the head and neck.

Authors:  Victor Neuhaus; Nils Große Hokamp; Nuran Abdullayev; Volker Maus; Christoph Kabbasch; Anastasios Mpotsaris; David Maintz; Jan Borggrefe
Journal:  Eur Radiol       Date:  2017-10-10       Impact factor: 5.315

6.  Diagnostic yield of 90-kVp low-tube-voltage carotid and intracerebral CT-angiography: effects on radiation dose, image quality and diagnostic performance for the detection of carotid stenosis.

Authors:  Doris Leithner; Julian L Wichmann; Scherwin Mahmoudi; Simon S Martin; Moritz H Albrecht; Thomas J Vogl; Jan-Erik Scholtz
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7.  Advanced Modeled Iterative Reconstruction in Low-Tube-Voltage Contrast-Enhanced Neck CT: Evaluation of Objective and Subjective Image Quality.

Authors:  J-E Scholtz; M Kaup; K Hüsers; M H Albrecht; B Bodelle; S C Metzger; J M Kerl; R W Bauer; T Lehnert; T J Vogl; J L Wichmann
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-01       Impact factor: 3.825

8.  Objective and subjective image quality of primary and recurrent squamous cell carcinoma on head and neck low-tube-voltage 80-kVp computed tomography.

Authors:  Jan-Erik Scholtz; Moritz Kaup; Johannes Kraft; Eva-Maria Nöske; Friedrich Scheerer; Boris Schulz; Iris Burck; Jens Wagenblast; J Matthias Kerl; Ralf W Bauer; Thomas Lehnert; Thomas J Vogl; Julian L Wichmann
Journal:  Neuroradiology       Date:  2015-03-26       Impact factor: 2.804

9.  Third-generation dual-source CT of the neck using automated tube voltage adaptation in combination with advanced modeled iterative reconstruction: evaluation of image quality and radiation dose.

Authors:  Jan-Erik Scholtz; Julian L Wichmann; Kristina Hüsers; Moritz H Albrecht; Martin Beeres; Ralf W Bauer; Thomas J Vogl; Boris Bodelle
Journal:  Eur Radiol       Date:  2015-11-11       Impact factor: 5.315

Review 10.  [Imaging of the head and neck region].

Authors:  M Lell; K Mantsopoulos; M Uder; W Wuest
Journal:  Radiologe       Date:  2016-02       Impact factor: 0.635

  10 in total

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