Computed tomography dose optimisation in cystic fibrosis: A review.

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dc.contributor.author Ferris, Helena
dc.contributor.author Twomey, Maria
dc.contributor.author Moloney, Fiachra
dc.contributor.author O'Neill, Siobhán B.
dc.contributor.author Murphy, Kevin P.
dc.contributor.author O'Connor, Owen J.
dc.contributor.author Maher, Michael M.
dc.date.accessioned 2018-04-25T14:48:41Z
dc.date.available 2018-04-25T14:48:41Z
dc.date.issued 2016-04-28
dc.identifier.citation Ferris, H., Twomey, M., Moloney, F., O’Neill, S. B., Murphy, K. P., O’Connor, O. J. and Maher, M. M. (2016) 'Computed tomography dose optimisation in cystic fibrosis: A review', World Journal of Radiology: WJR, 8(4) pp. 331-341. doi:10.4329/wjr.v8.i4.331 en
dc.identifier.issued 4 en
dc.identifier.startpage 331 en
dc.identifier.endpage 341 en
dc.identifier.issn 1949-8470
dc.identifier.uri http://hdl.handle.net/10468/5876
dc.identifier.doi 10.4329/wjr.v8.i4.331
dc.description.abstract Cystic fibrosis (CF) is the most common autosomal recessive disease of the Caucasian population worldwide, with respiratory disease remaining the most relevant source of morbidity and mortality. Computed tomography (CT) is frequently used for monitoring disease complications and progression. Over the last fifteen years there has been a six-fold increase in the use of CT, which has lead to a growing concern in relation to cumulative radiation exposure. The challenge to the medical profession is to identify dose reduction strategies that meet acceptable image quality, but fulfil the requirements of a diagnostic quality CT. Dose-optimisation, particularly in CT, is essential as it reduces the chances of patients receiving cumulative radiation doses in excess of 100 mSv, a dose deemed significant by the United Nations Scientific Committee on the Effects of Atomic Radiation. This review article explores the current trends in imaging in CF with particular emphasis on new developments in dose optimisation. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Baishideng Publishing Group en
dc.rights © The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved. This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/ licenses/by-nc/4.0/ en
dc.rights.uri http://creativecommons.org/ licenses/by-nc/4.0/ en
dc.subject Cystic fibrosis en
dc.subject Dose optimization en
dc.subject Computed tomography en
dc.subject Dose en
dc.subject Ionising radiation en
dc.subject Kalydeco en
dc.subject low dose CT en
dc.subject CT dose reduction en
dc.title Computed tomography dose optimisation in cystic fibrosis: A review. en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Owen O'Connor, Medicine , University College Cork, Cork, Ireland. +353-21-490-3000 Email: oj.oconnor@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2018-04-23T16:25:04Z
dc.description.version Published Version en
dc.internal.rssid 349297344
dc.description.status Peer reviewed en
dc.identifier.journaltitle World Journal of Radiology: WJR en
dc.internal.copyrightchecked No !!CORA!! en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress oj.oconnor@ucc.ie en


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© The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved.  This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/ licenses/by-nc/4.0/ Except where otherwise noted, this item's license is described as © The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved. This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/ licenses/by-nc/4.0/
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