Literature DB >> 27966043

Radiation dose reduction using 100-kVp and a sinogram-affirmed iterative reconstruction algorithm in adolescent head CT: Impact on grey-white matter contrast and image noise.

Yasunori Nagayama1,2, Takeshi Nakaura3, Akinori Tsuji4, Joji Urata4, Mitsuhiro Furusawa4, Hideaki Yuki3, Kenichiro Hirarta3, Masafumi Kidoh3, Seitaro Oda3, Daisuke Utsunomiya3, Yasuyuki Yamashita3.   

Abstract

OBJECTIVES: To retrospectively evaluate the image quality and radiation dose of 100-kVp scans with sinogram-affirmed iterative reconstruction (IR) for unenhanced head CT in adolescents.
METHODS: Sixty-nine patients aged 12-17 years underwent head CT under 120- (n = 34) or 100-kVp (n = 35) protocols. The 120-kVp images were reconstructed with filtered back-projection (FBP), 100-kVp images with FBP (100-kVp-F) and sinogram-affirmed IR (100-kVp-S). We compared the effective dose (ED), grey-white matter (GM-WM) contrast, image noise, and contrast-to-noise ratio (CNR) between protocols in supratentorial (ST) and posterior fossa (PS). We also assessed GM-WM contrast, image noise, sharpness, artifacts, and overall image quality on a four-point scale.
RESULTS: ED was 46% lower with 100- than 120-kVp (p < 0.001). GM-WM contrast was higher, and image noise was lower, on 100-kVp-S than 120-kVp at ST (p < 0.001). CNR of 100-kVp-S was higher than of 120-kVp (p < 0.001). GM-WM contrast of 100-kVp-S was subjectively rated as better than of 120-kVp (p < 0.001). There were no significant differences in the other criteria between 100-kVp-S and 120-kVp (p = 0.072-0.966).
CONCLUSIONS: The 100-kVp with sinogram-affirmed IR facilitated dramatic radiation reduction and better GM-WM contrast without increasing image noise in adolescent head CT. KEY POINTS: • 100-kVp head CT provides 46% radiation dose reduction compared with 120-kVp. • 100-kVp scanning improves subjective and objective GM-WM contrast. • Sinogram-affirmed IR decreases head CT image noise, especially in supratentorial region. • 100-kVp protocol with sinogram-affirmed IR is suited for adolescent head CT.

Entities:  

Keywords:  Computed tomography X-ray; Cranial irradiation; Image processing; Paediatrics; Radiation protection

Mesh:

Year:  2016        PMID: 27966043     DOI: 10.1007/s00330-016-4679-6

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  36 in total

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2.  Improved image quality of helical computed tomography of the head in children by iterative reconstruction.

Authors:  Shun Ono; Tetsu Niwa; Noriharu Yanagimachi; Tomohiro Yamashita; Takashi Okazaki; Takakiyo Nomura; Jun Hashimoto; Yutaka Imai
Journal:  J Neuroradiol       Date:  2015-10-28       Impact factor: 3.447

3.  Sinogram affirmed iterative reconstruction in head CT: improvement of objective and subjective image quality with concomitant radiation dose reduction.

Authors:  A Korn; B Bender; M Fenchel; D Spira; C Schabel; C Thomas; T Flohr; C D Claussen; R Bhadelia; U Ernemann; H Brodoefel
Journal:  Eur J Radiol       Date:  2013-04-12       Impact factor: 3.528

4.  Comparison of PECARN, CATCH, and CHALICE rules for children with minor head injury: a prospective cohort study.

Authors:  Joshua S Easter; Katherine Bakes; Jasmeet Dhaliwal; Michael Miller; Emily Caruso; Jason S Haukoos
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5.  Effect of reduced radiation exposure and iterative reconstruction on detection of low-contrast low-attenuation lesions in an anthropomorphic liver phantom: an 18-reader study.

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Journal:  Radiology       Date:  2014-03-10       Impact factor: 11.105

6.  Practice parameter: evaluating a first nonfebrile seizure in children: report of the quality standards subcommittee of the American Academy of Neurology, The Child Neurology Society, and The American Epilepsy Society.

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Journal:  Neurology       Date:  2000-09-12       Impact factor: 9.910

7.  The effect of skull volume and density on differentiating gray and white matter on routine computed tomography scans of the head.

Authors:  Carter Craddock; Michael Y Chen; Robert L Dixon; Christopher A Schlarb; Daniel W Williams
Journal:  J Comput Assist Tomogr       Date:  2006 Sep-Oct       Impact factor: 1.826

8.  Water content and water structure in CT and MR signal changes: possible influence in detection of early stroke.

Authors:  E Unger; J Littlefield; M Gado
Journal:  AJNR Am J Neuroradiol       Date:  1988 Jul-Aug       Impact factor: 3.825

9.  Adaptive statistical iterative reconstruction: reducing dose while preserving image quality in the pediatric head CT examination.

Authors:  Colin D McKnight; Kuanwong Watcharotone; Mohannad Ibrahim; Emmanuel Christodoulou; Aaron H Baer; Hemant A Parmar
Journal:  Pediatr Radiol       Date:  2014-04-03

10.  Cancer risk in 680,000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians.

Authors:  John D Mathews; Anna V Forsythe; Zoe Brady; Martin W Butler; Stacy K Goergen; Graham B Byrnes; Graham G Giles; Anthony B Wallace; Philip R Anderson; Tenniel A Guiver; Paul McGale; Timothy M Cain; James G Dowty; Adrian C Bickerstaffe; Sarah C Darby
Journal:  BMJ       Date:  2013-05-21
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  3 in total

1.  Metal Artifact Reduction in Head CT Performed for Patients with Deep Brain Stimulation Devices: Effectiveness of a Single-Energy Metal Artifact Reduction Algorithm.

Authors:  Y Nagayama; S Tanoue; S Oda; D Sakabe; T Emoto; M Kidoh; H Uetani; A Sasao; T Nakaura; O Ikeda; K Yamada; Y Yamashita
Journal:  AJNR Am J Neuroradiol       Date:  2019-12-26       Impact factor: 3.825

2.  Individual radiation exposure from computed tomography: a survey of paediatric practice in French university hospitals, 2010-2013.

Authors:  Neige M Y Journy; Serge Dreuil; Nathalie Boddaert; Jean-François Chateil; Didier Defez; Hubert Ducou-le-Pointe; Jean-Marc Garcier; Joël Guersen; Bouchra Habib Geryes; Andreas Jahnen; Choonsik Lee; Jacqueline Payen-de-la-Garanderie; Jean-Pierre Pracros; Dominique Sirinelli; Isabelle Thierry-Chef; Marie-Odile Bernier
Journal:  Eur Radiol       Date:  2017-08-23       Impact factor: 5.315

3.  Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection.

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Journal:  BMC Med Imaging       Date:  2021-07-08       Impact factor: 1.930

  3 in total

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