Literature DB >> 23789656

Reducing body CT radiation dose: beyond just changing the numbers.

Amy K Hara1, Clinton V Wellnitz, Robert G Paden, William Pavlicek, Dushyant V Sahani.   

Abstract

OBJECTIVE: CT dose reduction has become a top priority for many radiology practices as a result of federal and state initiatives and public concern. Implementing this in practice, however, is difficult because of the variability between practices, CT scanners, radiologist preferences, and institutional capacity.
CONCLUSION: This article will discuss strategies for successful CT dose reduction instituted in multivendor practices.

Entities:  

Mesh：

Year:  2013        PMID： 23789656     DOI： 10.2214/AJR.13.10556

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


  10 in total

1.  Dynamic fluence field modulation for miscentered patients in computed tomography.

Authors:  Andrew Mao; Grace J Gang; William Shyr; Reuven Levinson; Jeffrey H Siewerdsen; Satomi Kawamoto; J Webster Stayman
Journal:  J Med Imaging (Bellingham)       Date:  2018-10-24

2.  Automated detection of z-axis coverage with abdomen-pelvis computed tomography examinations.

Authors:  Min Zhang; Clinton Wellnitz; Can Cui; William Pavlicek; Teresa Wu
Journal:  J Digit Imaging       Date:  2015-06       Impact factor: 4.056

3.  Ultralow-dose CT with knowledge-based iterative model reconstruction (IMR) in evaluation of pulmonary tuberculosis: comparison of radiation dose and image quality.

Authors:  Chenggong Yan; Chunyi Liang; Jun Xu; Yuankui Wu; Wei Xiong; Huan Zheng; Yikai Xu
Journal:  Eur Radiol       Date:  2019-03-29       Impact factor: 5.315

Review 4.  Imaging of flank pain: readdressing state-of-the-art.

Authors:  Priyanka Jha; Brian Bentley; Spencer Behr; Judy Yee; Ronald Zagoria
Journal:  Emerg Radiol       Date:  2016-09-10

5.  Optimizing Radiation Doses for Computed Tomography Across Institutions: Dose Auditing and Best Practices.

Authors:  Joshua Demb; Philip Chu; Thomas Nelson; David Hall; Anthony Seibert; Ramit Lamba; John Boone; Mayil Krishnam; Christopher Cagnon; Maryam Bostani; Robert Gould; Diana Miglioretti; Rebecca Smith-Bindman
Journal:  JAMA Intern Med       Date:  2017-06-01       Impact factor: 21.873

6.  Superior objective and subjective image quality of deep learning reconstruction for low-dose abdominal CT imaging in comparison with model-based iterative reconstruction and filtered back projection.

Authors:  Akio Tamura; Eisuke Mukaida; Yoshitaka Ota; Masayoshi Kamata; Shun Abe; Kunihiro Yoshioka
Journal:  Br J Radiol       Date:  2021-07-01       Impact factor: 3.039

7.  CT brush and CancerZap!: two video games for computed tomography dose minimization.

Authors:  Graham Alvare; Richard Gordon
Journal:  Theor Biol Med Model       Date:  2015-05-12       Impact factor: 2.432

8.  Application of Vendor-Neutral Iterative Reconstruction Technique to Pediatric Abdominal Computed Tomography.

Authors:  Woo Hyeon Lim; Young Hun Choi; Ji Eun Park; Yeon Jin Cho; Seunghyun Lee; Jung Eun Cheon; Woo Sun Kim; In One Kim; Jong Hyo Kim
Journal:  Korean J Radiol       Date:  2019-09       Impact factor: 3.500

9.  Triple-phase abdomen and pelvis computed tomography: standard unenhanced phase can be replaced with reduced-dose scan.

Authors:  Łukasz Waszczuk; Maciej Guziński; Jerzy Garcarek; Marek Sąsiadek
Journal:  Pol J Radiol       Date:  2018-04-22

10.  Feasibility of thin-slice abdominal CT in overweight patients using a vendor neutral image-based denoising algorithm: Assessment of image noise, contrast, and quality.

Authors:  Akio Tamura; Manabu Nakayama; Yoshitaka Ota; Masayoshi Kamata; Yasuyuki Hirota; Misato Sone; Makoto Hamano; Ryoichi Tanaka; Kunihiro Yoshioka
Journal:  PLoS One       Date:  2019-12-17       Impact factor: 3.240
  10 in total

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