Literature DB >> 22826426

Comparison of different methods of calculating CT radiation effective dose in children.

Beverley Newman1, Arundhuti Ganguly, Jee-Eun Kim, Terry Robinson.   

Abstract

OBJECTIVE: CT radiation dose is a subject of intense interest and concern, especially in children. Effective dose, a summation of whole-body exposure weighted by specific organ sensitivities, is most often used to compute and compare radiation dose; however, there is little standardization, and there are numerous different methods of calculating effective dose. This study compares five such methods in a group of children undergoing routine chest CT and explores their advantages and pitfalls.
MATERIALS AND METHODS: Patient data from 120 pediatric chest CT examinations were retrospectively used to calculate effective dose: two scanner dose-length product (DLP) methods using published sets of conversion factors by Shrimpton and Deak, the imaging performance and assessment of CT (ImPact) calculator method, the Alessio online calculator, and the Huda method.
RESULTS: The Huda method mean effective dose (4.4 ± 2.2 mSv) and Alessio online calculator (5.2 ± 2.8 mSv) yielded higher mean numbers for effective dose than both DLP calculations (Shrimpton, 3.65 ± 1.8 mSv, and Deak, 3.2 ± 1.5 mSv) as well as the ImPact calculator effective dose (3.4 ± 1.7 mSv). Mean differences ranged from 10.2% ± 10.1% lower to 28% ± 37.3% higher than the Shrimpton method (used as the standard for comparison). Differences were more marked at 120 kVp than at 80 or 100 kVp and varied at different ages. Concordance coefficients relative to the Shrimpton DLP method were Deak DLP, 0.907; Alessio online calculator, 0.735; ImPact calculator, 0.926; and Huda, 0.777.
CONCLUSION: Different methods of computing effective dose for pediatric CT produce varying results. The method used must be clearly described to allay confusion about documenting and communicating dose for archiving as well as comparative research purposes.

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Year:  2012        PMID: 22826426     DOI: 10.2214/AJR.10.5895

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


  10 in total

1.  Accuracy of patient-specific organ dose estimates obtained using an automated image segmentation algorithm.

Authors:  Taly Gilat Schmidt; Adam S Wang; Thomas Coradi; Benjamin Haas; Josh Star-Lack
Journal:  J Med Imaging (Bellingham)       Date:  2016-11-29

Review 2.  Radiation dose in non-dental cone beam CT applications: a systematic review.

Authors:  Cosimo Nardi; Sergio Salerno; Roberto Molteni; Mariaelena Occhipinti; Giulia Grazzini; Niccolò Norberti; Cesare Cordopatri; Stefano Colagrande
Journal:  Radiol Med       Date:  2018-06-05       Impact factor: 3.469

3.  Ultrafast pediatric chest computed tomography: comparison of free-breathing vs. breath-hold imaging with and without anesthesia in young children.

Authors:  Aya Kino; Evan J Zucker; Anita Honkanen; Jerry Kneebone; Jia Wang; Frandics Chan; Beverley Newman
Journal:  Pediatr Radiol       Date:  2018-11-09

Review 4.  Radiation dose management for pediatric cardiac computed tomography: a report from the Image Gently 'Have-A-Heart' campaign.

Authors:  Cynthia K Rigsby; Sarah E McKenney; Kevin D Hill; Anjali Chelliah; Andrew J Einstein; B Kelly Han; Joshua D Robinson; Christina L Sammet; Timothy C Slesnick; Donald P Frush
Journal:  Pediatr Radiol       Date:  2018-01-01

5.  Effective radiation doses of CT examinations in Japan: a nationwide questionnaire-based study.

Authors:  Yuta Matsunaga; Ai Kawaguchi; Kenichi Kobayashi; Masanao Kobayashi; Yasuki Asada; Kazuyuki Minami; Shoichi Suzuki; Koichi Chida
Journal:  Br J Radiol       Date:  2015-12-09       Impact factor: 3.039

Review 6.  From 'Image Gently' to image intelligently: a personalized perspective on diagnostic radiation risk.

Authors:  R Paul Guillerman
Journal:  Pediatr Radiol       Date:  2014-10-11

7.  Surface radiation dose comparison of a dedicated extremity cone beam computed tomography (CBCT) device and a multidetector computed tomography (MDCT) machine in pediatric ankle and wrist phantoms.

Authors:  Sebastian Tschauner; Robert Marterer; Eszter Nagy; Georg Apfaltrer; Michael Riccabona; Georg Singer; Georg Stücklschweiger; Helmuth Guss; Erich Sorantin
Journal:  PLoS One       Date:  2017-06-01       Impact factor: 3.240

8.  Assessment and comparison of radiation dose and image quality in multi-detector CT scanners in non-contrast head and neck examinations.

Authors:  Daryoush Khoramian; Soroush Sistani; Razzagh Abedi Firouzjah
Journal:  Pol J Radiol       Date:  2019-01-23

9.  The radiation footprint on the pediatric trauma patient.

Authors:  Raquel M Schears; Zainab Farzal; Zehra Farzal; Anne C Fischer
Journal:  Int J Emerg Med       Date:  2018-03-14

10.  Experiences with image quality and radiation dose of cone beam computed tomography (CBCT) and multidetector computed tomography (MDCT) in pediatric extremity trauma.

Authors:  Sebastian Tschauner; Robert Marterer; Eszter Nagy; Georg Singer; Michael Riccabona; Erich Sorantin
Journal:  Skeletal Radiol       Date:  2020-06-14       Impact factor: 2.199

  10 in total

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