Feasibility of low-dose CT with model-based iterative image reconstruction in follow-up of patients with testicular cancer.
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.date.updated | 2018-04-23T16:23:03Z | |
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.description.status | Peer reviewed | en |
dc.description.version | Published Version | en |
dc.format.mimetype | application/pdf | en |
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.doi | 10.1016/j.ejro.2016.01.002 | |
dc.identifier.endpage | 45 | en |
dc.identifier.issn | 2352-0477 | |
dc.identifier.issued | 3 | en |
dc.identifier.journaltitle | European Journal of Radiology | en |
dc.identifier.startpage | 38 | en |
dc.identifier.uri | https://hdl.handle.net/10468/5869 | |
dc.identifier.volume | 16 | 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 |
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