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dc.contributor.authorKember, SA
dc.contributor.authorHansen, VN
dc.contributor.authorFast, MF
dc.contributor.authorNill, S
dc.contributor.authorMcDonald, F
dc.contributor.authorAhmed, M
dc.contributor.authorThomas, K
dc.contributor.authorMcNair, HA
dc.date.accessioned2016-08-26T15:48:36Z
dc.date.issued2016-07-01
dc.identifier.citationThe British journal of radiology, 2016, 89 (1063), pp. 20150933 - ?
dc.identifier.issn0007-1285
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/84
dc.identifier.eissn1748-880X
dc.identifier.doi10.1259/bjr.20150933
dc.description.abstractOBJECTIVE: To evaluate three image acquisition presets for four-dimensional cone beam CT (CBCT) to identify an optimal preset for lung tumour image quality while minimizing dose and acquisition time. METHODS: Nine patients undergoing radical conventionally fractionated radiotherapy for lung cancer had verification CBCTs acquired using three presets: Preset 1 on Day 1 (11 mGy dose, 240 s acquisition time), Preset 2 on Day 2 (9 mGy dose, 133 s acquisition time) and Preset 3 on Day 3 (9 mGy dose, 67 s acquisition time). The clarity of the tumour and other thoracic structures, and the acceptability of the match, were retrospectively graded by visual grading analysis (VGA). Logistic regression was used to identify the most appropriate preset and any factors that might influence the result. RESULTS: Presets 1 and 2 met a clinical requirement of 75% of structures to be rated "Clear" or above and 75% of matches to be rated "Acceptable" or above. Clarity is significantly affected by preset, patient, observer and structure. Match acceptability is significantly affected by preset. CONCLUSION: The application of VGA in this initial study enabled a provisional selection of an optimal preset (Preset 2) to be made. ADVANCES IN KNOWLEDGE: This was the first application of VGA to the investigation of presets for CBCT.
dc.formatPrint-Electronic
dc.format.extent20150933 - ?
dc.languageeng
dc.language.isoeng
dc.publisherBRITISH INST RADIOLOGY
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0
dc.subjectLung
dc.subjectHumans
dc.subjectLung Neoplasms
dc.subjectRadiotherapy Dosage
dc.subjectRadiotherapy Planning, Computer-Assisted
dc.subjectReproducibility of Results
dc.subjectCone-Beam Computed Tomography
dc.subjectFour-Dimensional Computed Tomography
dc.titleEvaluation of three presets for four-dimensional cone beam CT in lung radiotherapy verification by visual grading analysis.
dc.typeJournal Article
dcterms.dateAccepted2016-04-20
rioxxterms.versionofrecord10.1259/bjr.20150933
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc/4.0
rioxxterms.licenseref.startdate2016-07
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfThe British journal of radiology
pubs.issue1063
pubs.notesNo embargo
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Lung Radiotherapy
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radiotherapy Physics Modelling
pubs.organisational-group/ICR/Primary Group/Royal Marsden Clinical Units
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Lung Radiotherapy
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radiotherapy Physics Modelling
pubs.organisational-group/ICR/Primary Group/Royal Marsden Clinical Units
pubs.publication-statusPublished
pubs.volume89
pubs.embargo.termsNo embargo
pubs.oa-locationhttp://dx.doi.org/10.1259/bjr.20150933
icr.researchteamLung Radiotherapy
icr.researchteamRadiotherapy Physics Modelling
dc.contributor.icrauthorNill, Simeon


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