Body composition determinants of radiation dose during abdominopelvic CT

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dc.contributor.authorMcLaughlin, Patrick D.
dc.contributor.authorChawke, Liam
dc.contributor.authorTwomey, Maria
dc.contributor.authorMurphy, Kevin P.
dc.contributor.authorO'Neill, Siobhán B.
dc.contributor.authorMcWilliams, Sebastian R.
dc.contributor.authorJames, Karl
dc.contributor.authorKavanagh, Richard G.
dc.contributor.authorSullivan, Charles
dc.contributor.authorChan, Faimee E.
dc.contributor.authorMoore, Niamh
dc.contributor.authorO'Connor, Owen J.
dc.contributor.authorEustace, Joseph A.
dc.contributor.authorMaher, Michael M.
dc.date.accessioned2018-04-25T15:24:20Z
dc.date.available2018-04-25T15:24:20Z
dc.date.issued2017-10-23
dc.date.updated2018-04-23T16:21:48Z
dc.description.abstractObjectives: We designed a prospective study to investigate the in-vivo relationship between abdominal body composition and radiation exposure to determine the strongest body composition predictor of dose length product (DLP) at CT. Methods: Following institutional review board approval, quantitative analysis was performed prospectively on 239 consecutive patients who underwent abdominopelvic CT. DLP, BMI, volumes of abdominal adipose tissue, muscle, bone and solid organs were recorded. Results: All measured body composition parameters correlated positively with DLP. Linear regression (R2 = 0.77) revealed that total adipose volume was the strongest predictor of radiation exposure [B (95% CI) = 0.027(0.024–0.030), t=23.068, p < 0.001]. Stepwise linear regression using DLP as the dependent and BMI and total adipose tissue as independent variables demonstrated that total adipose tissue is more predictive of DLP than BMI [B (95% CI) = 16.045 (11.337-20.752), t=6.681, p < 0.001]. Conclusions: The volume of adipose tissue was the strongest predictor of radiation exposure in our cohort. Main message: Individual body composition variables correlate with DLP at abdominopelvic CT; Total abdominal adipose tissue is the strongest predictor of radiation exposure; Muscle volume is also a significant but weaker predictor of DLP.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMcLaughlin, P. D., Chawke, L., Twomey, M., Murphy, K. P., O’Neill, S. B., McWilliams, S. R., James, K., Kavanagh, R. G., Sullivan, C., Chan, F. E., Moore, N., O’Connor, O. J., Eustace, J. A. and Maher, M. M. (2018) 'Body composition determinants of radiation dose during abdominopelvic CT', Insights into Imaging, 9(1), pp. 9-16. doi: 10.1007/s13244-017-0577-yen
dc.identifier.doi10.1007/s13244-017-0577-y
dc.identifier.endpage16en
dc.identifier.issn1869-4101
dc.identifier.issued1en
dc.identifier.journaltitleInsights into Imagingen
dc.identifier.startpage9en
dc.identifier.urihttps://hdl.handle.net/10468/5878
dc.identifier.volume9en
dc.language.isoenen
dc.publisherSpringer Berlin Heidelberg. Published in cooperation with the European Society of Radiologyen
dc.rights© The Author(s) 2017. 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.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectTomographyen
dc.subjectX-ray computeden
dc.subjectRadiation dosageen
dc.subjectIntra-abdominal faten
dc.subjectMuscleen
dc.subjectSkeletalen
dc.subjectBody mass indexen
dc.titleBody composition determinants of radiation dose during abdominopelvic CTen
dc.typeArticle (peer-reviewed)en
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