Abstract
Objective: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.
Highlights
Collection and harmonization of radiotherapy (RT) data for clinical trials, quality assurance (QA) and research purposes is a non-trivial task that requires integration of numerous software systems and data types.[1,2,3] The retrieval pipeline includes unarchiving, restoration on clinical databases, manual selection via graphical user interface and rearchiving
The VoxTox study includes 873 patients treated with helical tomotherapy between 2007 and 2017.4 The data exceed 300,000 files archived in several proprietary formats
The RT-Plan objects were correctly restored for both underlying binary formats (Figure 3a–d)
Summary
Collection and harmonization of radiotherapy (RT) data for clinical trials, quality assurance (QA) and research purposes is a non-trivial task that requires integration of numerous software systems and data types.[1,2,3] The retrieval pipeline includes unarchiving, restoration on clinical databases, manual selection via graphical user interface and rearchiving. The VoxTox study includes 873 patients treated with helical tomotherapy between 2007 and 2017.4 The data exceed 300,000 files archived in several proprietary formats. To collect and harmonize these data with minimal impact on clinical workflow, we developed a framework to translate proprietary-formatted data into the DICOM-RT objects RT-Plan, RT-Structure Set, RT-Image and RT-Dose. We enabled access to the information “hidden” in patient archives, e.g. not available for conventional DICOM export.[5] The method can be adapted to translate other vendor data formats into DICOM-RT to suit the purposes of different centres
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