Literature DB >> 29537302

Radiation dose optimisation for conventional imaging in infants and newborns using automatic dose management software: an application of the new 2013/59 EURATOM directive.

L Alejo1, E Corredoira1, F Sánchez-Muñoz1, C Huerga1, Z Aza1, R Plaza-Núñez1, A Serrada1, M Bret-Zurita2, M Parrón2, C Prieto-Areyano2, G Garzón-Moll2, R Madero3, E Guibelalde4.   

Abstract

Objective: The new 2013/59 EURATOM Directive (ED) demands dosimetric optimisation procedures without undue delay. The aim of this study was to optimise paediatric conventional radiology examinations applying the ED without compromising the clinical diagnosis.
METHODS: Automatic dose management software (ADMS) was used to analyse 2678 studies of children from birth to 5 years of age, obtaining local diagnostic reference levels (DRLs) in terms of entrance surface air kerma. Given local DRL for infants and chest examinations exceeded the European Commission (EC) DRL, an optimisation was performed decreasing the kVp and applying the automatic control exposure. To assess the image quality, an analysis of high-contrast resolution (HCSR), signal-to-noise ratio (SNR) and figure of merit (FOM) was performed, as well as a blind test based on the generalised estimating equations method.
RESULTS: For newborns and chest examinations, the local DRL exceeded the EC DRL by 113%. After the optimisation, a reduction of 54% was obtained. No significant differences were found in the image quality blind test. A decrease in SNR (-37%) and HCSR (-68%), and an increase in FOM (42%), was observed.
CONCLUSION: ADMS allows the fast calculation of local DRLs and the performance of optimisation procedures in babies without delay. However, physical and clinical analyses of image quality remain to be needed to ensure the diagnostic integrity after the optimisation process. Advances in knowledge: ADMS are useful to detect radiation protection problems and to perform optimisation procedures in paediatric conventional imaging without undue delay, as ED requires.

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Year:  2018        PMID: 29537302      PMCID: PMC6223298          DOI: 10.1259/bjr.20180022

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  21 in total

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7.  Optimisation of paediatric chest radiography.

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8.  A MONTE-CARLO SIMULATION FRAMEWORK FOR JOINT OPTIMISATION OF IMAGE QUALITY AND PATIENT DOSE IN DIGITAL PAEDIATRIC RADIOGRAPHY.

Authors:  Bernd Menser; Dirk Manke; Detlef Mentrup; Ulrich Neitzel
Journal:  Radiat Prot Dosimetry       Date:  2015-11-30       Impact factor: 0.972

9.  Cu filtration for dose reduction in neonatal chest imaging.

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10.  Radiation dose and image quality for paediatric interventional cardiology.

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Journal:  Phys Med Biol       Date:  2008-07-08       Impact factor: 3.609

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