Automated customized retrieval of radiotherapy data for clinical trials, audit and research.
Hoole, Andrew Cf
The British journal of radiology
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Romanchikova, M., Harrison, K., Burnet, N., Hoole, A. C., Sutcliffe, M., Parker, A., Jena, R., & et al. (2018). Automated customized retrieval of radiotherapy data for clinical trials, audit and research.. The British journal of radiology, 91 (1083), 20170651. https://doi.org/10.1259/bjr.20170651
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.
Humans, Radiotherapy, Automation, Software, Information Storage and Retrieval, Radiology Information Systems, Management Audit, Clinical Trials as Topic
SCIENCE & TECHNOLOGY FACILITIES COUNCIL (ST/N000234/1)
Cancer Research UK (13405)
External DOI: https://doi.org/10.1259/bjr.20170651
This record's URL: https://www.repository.cam.ac.uk/handle/1810/271780