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用于临床试验、审核和研究的放疗数据自动化定制检索。

Automated customized retrieval of radiotherapy data for clinical trials, audit and research.

作者信息

Romanchikova Marina, Harrison Karl, Burnet Neil G, Hoole Andrew Cf, Sutcliffe Michael Pf, Parker Michael Andrew, Jena Rajesh, Thomas Simon James

机构信息

1 Department of Medical Physics & Clinical Engineering, Cambridge University Hospitals , Cambridge , UK.

2 Department of Physics, University of Cambridge , Cambridge , UK.

出版信息

Br J Radiol. 2018 Feb;91(1083):20170651. doi: 10.1259/bjr.20170651. Epub 2018 Jan 31.

DOI:10.1259/bjr.20170651
PMID:29125328
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5965461/
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.

摘要

目的

实现从断层放疗存储中快速且可定制的放射治疗(RT)数据自动收集。

方法

创建了人类可读的数据映射(标签映射),以从断层放疗存档中生成医学数字成像和通信 - 放射治疗(DICOM - RT)数据,并提供对包括剂量投照正弦图、位置校正和自适应放疗剂量等“隐藏”信息的访问。

结果

797个数据集共25000次扫描在31.5小时内被批量导出。所有存档信息均被恢复,包括商业软件无法获取的数据。导出的数据符合DICOM标准,并且与包括RayStation、Pinnacle和ProSoma在内的主要商业工具兼容。导出过程无需操作员干预。

结论

用于DICOM - RT数据建模的标签映射方法所生成的软件比供应商的解决方案快许多倍,所需操作员输入极少,并能提供大量与供应商相同的DICOM数据。该方法适用于许多临床和研究数据处理场景,并且可以进行调整以从其他专有存储类型(如医科达、Pinnacle或ProSoma)中恢复DICOM - RT数据。知识进展:提出了一种将专有存储中的数据转换为DICOM - RT的新方法。它提供了对隐藏在电子存档中的数据的访问,为数据迁移和供应商锁定问题提供了可行的解决方案,并为大规模成像和放射组学研究铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f29b/5965461/5b10248c6b3b/bjr.20170651.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f29b/5965461/8e0e86fa2ce9/bjr.20170651.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f29b/5965461/354b6fb7feea/bjr.20170651.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f29b/5965461/5b10248c6b3b/bjr.20170651.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f29b/5965461/8e0e86fa2ce9/bjr.20170651.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f29b/5965461/354b6fb7feea/bjr.20170651.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f29b/5965461/5b10248c6b3b/bjr.20170651.g003.jpg

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