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dc.contributor.authorRomanchikova, Marinaen
dc.contributor.authorHarrison, Karlen
dc.contributor.authorBurnet, Neilen
dc.contributor.authorHoole, Andrew Cfen
dc.contributor.authorSutcliffe, Michaelen
dc.contributor.authorParker, Andyen
dc.contributor.authorJena, Rajeshen
dc.contributor.authorThomas, Simon Jamesen
dc.date.accessioned2018-02-07T13:02:15Z
dc.date.available2018-02-07T13:02:15Z
dc.date.issued2018-02en
dc.identifier.issn0007-1285
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/271780
dc.description.abstractOBJECTIVE: To enable fast and customizable automated collection of radiotherapy (RT) data from tomotherapy storage. METHODS: Human-readable data maps (TagMaps) were created to generate DICOM-RT (Digital Imaging and Communications in Medicine standard for Radiation Therapy) data from tomotherapy archives, and provided access to "hidden" information comprising delivery sinograms, positional corrections and adaptive-RT doses. RESULTS: 797 data sets totalling 25,000 scans were batch-exported in 31.5 h. All archived information was restored, including the data not available via commercial software. The exported data were DICOM-compliant and compatible with major commercial tools including RayStation, Pinnacle and ProSoma. The export ran without operator interventions. CONCLUSION: The TagMap method for DICOM-RT data modelling produced software that was many times faster than the vendor's solution, required minimal operator input and delivered high volumes of vendor-identical DICOM data. The approach is applicable to many clinical and research data processing scenarios and can be adapted to recover DICOM-RT data from other proprietary storage types such as Elekta, Pinnacle or ProSoma. Advances in knowledge: A novel method to translate data from proprietary storage to DICOM-RT is presented. It provides access to the data hidden in electronic archives, offers a working solution to the issues of data migration and vendor lock-in and paves the way for large-scale imaging and radiomics studies.
dc.format.mediumPrint-Electronicen
dc.languageengen
dc.subjectHumansen
dc.subjectRadiotherapyen
dc.subjectAutomationen
dc.subjectSoftwareen
dc.subjectInformation Storage and Retrievalen
dc.subjectRadiology Information Systemsen
dc.subjectManagement Auditen
dc.subjectClinical Trials as Topicen
dc.titleAutomated customized retrieval of radiotherapy data for clinical trials, audit and research.en
dc.typeArticle
prism.issueIdentifier1083en
prism.publicationDate2018en
prism.publicationNameThe British journal of radiologyen
prism.startingPage20170651
prism.volume91en
dc.identifier.doi10.17863/CAM.18776
dcterms.dateAccepted2017-11-01en
rioxxterms.versionofrecord10.1259/bjr.20170651en
rioxxterms.versionAM*
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2018-02en
dc.contributor.orcidBurnet, Neil [0000-0001-9692-706X]
dc.contributor.orcidSutcliffe, Michael [0000-0001-9729-4460]
dc.contributor.orcidParker, Andy [0000-0001-9798-8411]
dc.contributor.orcidJena, Rajesh [0000-0002-3803-5968]
dc.contributor.orcidThomas, Simon James [0000-0002-7758-7108]
dc.identifier.eissn1748-880X
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idCancer Research UK (13405)
pubs.funder-project-idSTFC (ST/I004297/1)
pubs.funder-project-idSTFC (ST/I005846/1)
pubs.funder-project-idSTFC (ST/J00488X/1)
pubs.funder-project-idSTFC (ST/K003666/1)
pubs.funder-project-idSTFC (ST/L005662/1)
pubs.funder-project-idSTFC (ST/M006417/1)
pubs.funder-project-idSCIENCE & TECHNOLOGY FACILITIES COUNCIL (ST/N000234/1)
rioxxterms.freetoread.startdate2019-01-31


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