Automated customized retrieval of radiotherapy data for clinical trials, audit and research.
Hoole, Andrew Cf
The British journal of radiology
MetadataShow full item record
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
Cancer Research UK (13405)
SCIENCE & TECHNOLOGY FACILITIES COUNCIL (ST/N000234/1)
External DOI: https://doi.org/10.1259/bjr.20170651
This record's URL: https://www.repository.cam.ac.uk/handle/1810/271780