dc.contributor.author | Colvill, E | |
dc.contributor.author | Booth, J | |
dc.contributor.author | Nill, S | |
dc.contributor.author | Fast, M | |
dc.contributor.author | Bedford, J | |
dc.contributor.author | Oelfke, U | |
dc.contributor.author | Nakamura, M | |
dc.contributor.author | Poulsen, P | |
dc.contributor.author | Worm, E | |
dc.contributor.author | Hansen, R | |
dc.contributor.author | Ravkilde, T | |
dc.contributor.author | Scherman Rydhög, J | |
dc.contributor.author | Pommer, T | |
dc.contributor.author | Munck Af Rosenschold, P | |
dc.contributor.author | Lang, S | |
dc.contributor.author | Guckenberger, M | |
dc.contributor.author | Groh, C | |
dc.contributor.author | Herrmann, C | |
dc.contributor.author | Verellen, D | |
dc.contributor.author | Poels, K | |
dc.contributor.author | Wang, L | |
dc.contributor.author | Hadsell, M | |
dc.contributor.author | Sothmann, T | |
dc.contributor.author | Blanck, O | |
dc.contributor.author | Keall, P | |
dc.date.accessioned | 2016-08-26T15:50:12Z | |
dc.date.issued | 2016-04-01 | |
dc.identifier.citation | Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2016, 119 (1), pp. 159 - 165 | |
dc.identifier.issn | 0167-8140 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/85 | |
dc.identifier.eissn | 1879-0887 | |
dc.identifier.doi | 10.1016/j.radonc.2016.03.006 | |
dc.description.abstract | PURPOSE: A study of real-time adaptive radiotherapy systems was performed to test the hypothesis that, across delivery systems and institutions, the dosimetric accuracy is improved with adaptive treatments over non-adaptive radiotherapy in the presence of patient-measured tumor motion. METHODS AND MATERIALS: Ten institutions with robotic(2), gimbaled(2), MLC(4) or couch tracking(2) used common materials including CT and structure sets, motion traces and planning protocols to create a lung and a prostate plan. For each motion trace, the plan was delivered twice to a moving dosimeter; with and without real-time adaptation. Each measurement was compared to a static measurement and the percentage of failed points for γ-tests recorded. RESULTS: For all lung traces all measurement sets show improved dose accuracy with a mean 2%/2mm γ-fail rate of 1.6% with adaptation and 15.2% without adaptation (p<0.001). For all prostate the mean 2%/2mm γ-fail rate was 1.4% with adaptation and 17.3% without adaptation (p<0.001). The difference between the four systems was small with an average 2%/2mm γ-fail rate of <3% for all systems with adaptation for lung and prostate. CONCLUSIONS: The investigated systems all accounted for realistic tumor motion accurately and performed to a similar high standard, with real-time adaptation significantly outperforming non-adaptive delivery methods. | |
dc.format | Print-Electronic | |
dc.format.extent | 159 - 165 | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | ELSEVIER IRELAND LTD | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0 | |
dc.subject | Humans | |
dc.subject | Lung Neoplasms | |
dc.subject | Prostatic Neoplasms | |
dc.subject | Radiotherapy Dosage | |
dc.subject | Radiotherapy Planning, Computer-Assisted | |
dc.subject | Movement | |
dc.subject | Robotics | |
dc.subject | Computer Systems | |
dc.subject | Male | |
dc.title | A dosimetric comparison of real-time adaptive and non-adaptive radiotherapy: A multi-institutional study encompassing robotic, gimbaled, multileaf collimator and couch tracking. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2016-03-02 | |
rioxxterms.versionofrecord | 10.1016/j.radonc.2016.03.006 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by-nc-nd/4.0 | |
rioxxterms.licenseref.startdate | 2016-04 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology | |
pubs.issue | 1 | |
pubs.notes | No 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/Radiotherapy Physics Modelling | |
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/Radiotherapy Physics Modelling | |
pubs.publication-status | Published | |
pubs.volume | 119 | |
pubs.embargo.terms | No embargo | |
pubs.oa-location | http://dx.doi.org/10.1016/j.radonc.2016.03.006 | |
icr.researchteam | Radiotherapy Physics Modelling | |
dc.contributor.icrauthor | Nill, Simeon | |