Feasibility of low-dose CT with model-based iterative image reconstruction in follow-up of patients with testicular cancer.

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dc.contributor.author Murphy, Kevin P.
dc.contributor.author Crush, Lee
dc.contributor.author O'Neill, Siobhán B.
dc.contributor.author Foody, James
dc.contributor.author Breen, Micheál
dc.contributor.author Brady, Adrian
dc.contributor.author Kelly, Paul J.
dc.contributor.author Power, Derek G.
dc.contributor.author Sweeney, Paul
dc.contributor.author Bye, Jackie
dc.contributor.author O'Connor, Owen J.
dc.contributor.author Maher, Michael M.
dc.contributor.author O'Regan, Kevin N.
dc.date.accessioned 2018-04-24T15:54:36Z
dc.date.available 2018-04-24T15:54:36Z
dc.date.issued 2016-02-16
dc.identifier.citation Murphy, K. P., Crush, L., O’Neill, S. B., Foody, J., Breen, M., Brady, A., Kelly, P. J., Power, D. G., Sweeney, P., Bye, J., O’Connor, O. J., Maher, M. M. and O’Regan, K. N. (2016) 'Feasibility of low-dose CT with model-based iterative image reconstruction in follow-up of patients with testicular cancer', European Journal of Radiology Open, 3, pp. 38-45. doi: 10.1016/j.ejro.2016.01.002 en
dc.identifier.volume 16 en
dc.identifier.issued 3 en
dc.identifier.startpage 38 en
dc.identifier.endpage 45 en
dc.identifier.issn 2352-0477
dc.identifier.uri http://hdl.handle.net/10468/5869
dc.identifier.doi 10.1016/j.ejro.2016.01.002
dc.description.abstract Purpose: We examine the performance of pure model-based iterative reconstruction with reduced-dose CT in follow-up of patients with early-stage testicular cancer. Methods: Sixteen patients (mean age 35.6 ± 7.4 years) with stage I or II testicular cancer underwent conventional dose (CD) and low-dose (LD) CT acquisition during CT surveillance. LD data was reconstructed with model-based iterative reconstruction (LD–MBIR). Datasets were objectively and subjectively analysed at 8 anatomical levels. Two blinded clinical reads were compared to gold-standard assessment for diagnostic accuracy. Results: Mean radiation dose reduction of 67.1% was recorded. Mean dose measurements for LD–MBIR were: thorax – 66 ± 11 mGy cm (DLP), 1.0 ± 0.2 mSv (ED), 2.0 ± 0.4 mGy (SSDE); abdominopelvic – 128 ± 38 mGy cm (DLP), 1.9 ± 0.6 mSv (ED), 3.0 ± 0.6 mGy (SSDE). Objective noise and signal-to-noise ratio values were comparable between the CD and LD–MBIR images. LD–MBIR images were superior (p < 0.001) with regard to subjective noise, streak artefact, 2-plane contrast resolution, 2-plane spatial resolution and diagnostic acceptability. All patients were correctly categorised as positive, indeterminate or negative for metastatic disease by 2 readers on LD–MBIR and CD datasets. Conclusions: MBIR facilitated a 67% reduction in radiation dose whilst producing images that were comparable or superior to conventional dose studies without loss of diagnostic utility. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Elsevier en
dc.relation.uri http://www.sciencedirect.com/science/article/pii/S2352047716300028
dc.rights © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). en
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ en
dc.subject Radiation dose en
dc.subject Computed tomography en
dc.subject Low dose CT en
dc.subject Testicular cancer en
dc.subject Low-dose computed tomography en
dc.subject Iterative reconstruction en
dc.subject Model-based iterative reconstruction en
dc.title Feasibility of low-dose CT with model-based iterative image reconstruction in follow-up of patients with testicular cancer. 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 2018-04-23T16:23:03Z
dc.description.version Published Version en
dc.internal.rssid 344697545
dc.description.status Peer reviewed en
dc.identifier.journaltitle European Journal of Radiology en
dc.internal.copyrightchecked No !!CORA!! en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress oj.oconnor@ucc.ie en


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© 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Except where otherwise noted, this item's license is described as © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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