Using body mass index to estimate individualised patient radiation dose in abdominal computed tomography

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dc.contributor.author O'Neill, Siobhán B.
dc.contributor.author Kavanagh, Richard G.
dc.contributor.author Carey, Brian W.
dc.contributor.author Moore, Niamh
dc.contributor.author Maher, Michael
dc.contributor.author O'Connor, Owen J.
dc.date.accessioned 2019-12-04T11:38:06Z
dc.date.available 2019-12-04T11:38:06Z
dc.date.issued 2018-11-28
dc.identifier.citation O’Neill, S., Kavanagh, R. G., Carey, B. W., Moore, N., Maher, M. and O’Connor, O. J. (2018) 'Using body mass index to estimate individualised patient radiation dose in abdominal computed tomography', European Radiology Experimental, 2(1), 38. (8pp.) doi: 10.1186/s41747-018-0070-5 en
dc.identifier.volume 2 en
dc.identifier.issued 1 en
dc.identifier.startpage 1 en
dc.identifier.endpage 8 en
dc.identifier.uri http://hdl.handle.net/10468/9319
dc.identifier.doi 10.1186/s41747-018-0070-5 en
dc.description.abstract Background: The size-specific dose estimate (SSDE) is a dose-related metrics that incorporates patient size into its calculation. It is usually derived from the volume computed tomography dose index (CTDIvol) by applying a conversion factor determined from manually measured anteroposterior and lateral skin-to-skin patient diameters at the midslice level on computed tomography (CT) localiser images, an awkward, time-consuming, and not highly reproducible technique. The objective of this study was to evaluate the potential for the use of body mass index (BMI) as a size-related metrics alternative to the midslice effective diameter (DE) to obtain a size-specific dose (SSDE) in abdominal CT. Methods: In this retrospective study of patients who underwent abdominal CT for the investigation of inflammatory bowel disease, the DE was measured on the midslice level on CT-localiser images of each patient. This was correlated with patient BMI and the linear regression equation relating the quantities was calculated. The ratio between the internal and the external abdominal diameters (DRATIO) was also measured to assess correlation with radiation dose. Pearson correlation analysis and linear regression models were used. Results: There was good correlation between DE and patient BMI (r = 0.88). An equation allowing calculation of DE from BMI was calculated by linear regression analysis as follows: DE = 0.76 (BMI) + 9.4. A weak correlation between radiation dose and DRATIO was demonstrated (r = 0.45). Conclusions: Patient BMI can be used to accurately estimate DE, obviating the need to measure anteroposterior and lateral diameters in order to calculate a SSDE for abdominal CT. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Springer en
dc.rights ©The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ en
dc.subject Abdomen en
dc.subject Body mass index en
dc.subject Tomography (x-ray, computed) en
dc.subject Radiation dosage en
dc.title Using body mass index to estimate individualised patient radiation dose in abdominal computed tomography en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Richard Kavanagh, Department of Radiology, University College Cork, Cork, Ireland. +353-21-490-3000 en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Professor Denis O’Sullivan Research Fellowship en
dc.description.status Peer reviewed en
dc.identifier.journaltitle European Radiology Experimental en
dc.internal.IRISemailaddress oj.oconnor@ucc.ie en
dc.identifier.articleid 38 en
dc.identifier.eissn 2509-9280


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©The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Except where otherwise noted, this item's license is described as ©The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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