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A national approach for automated collection of standardized and population-based radiation therapy data in Sweden
Department of Radiation Sciences, Umeå University, Umeå, Sweden; Medical Radiation Physics, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, Sweden; Regional Cancer Center West, Western Sweden Healthcare Region, Göteborg, Sweden.
Department of Oncology, Linköping University Hospital, Linköping, Sweden.
Department of Physics and Biomedical Engineering, Mälar Hospital, Eskilstuna, Sweden.
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2016 (English)In: Radiotherapy and Oncology, ISSN 0167-8140, E-ISSN 1879-0887, Vol. 119, no 2, p. 344-350Article in journal (Refereed) Published
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Text
Abstract [en]

Purpose: To develop an infrastructure for structured and automated collection of interoperable radiation therapy (RT) data into a national clinical quality registry.

Materials and methods: The present study was initiated in 2012 with the participation of seven of the 15 hospital departments delivering RT in Sweden. A national RT nomenclature and a database for structured unified storage of RT data at each site (Medical Information Quality Archive, MIQA) have been developed. Aggregated data from the MIQA databases are sent to a national RT registry located on the same IT platform (INCA) as the national clinical cancer registries.

Results: The suggested naming convention has to date been integrated into the clinical workflow at 12 of 15 sites, and MIQA is installed at six of these. Involvement of the remaining 3/15 RT departments is ongoing, and they are expected to be part of the infrastructure by 2016. RT data collection from ARIA (R), Mosaiq (R), Eclipse (TM), and Oncentra (R) is supported. Manual curation of RT-structure information is needed for approximately 10% of target volumes, but rarely for normal tissue structures, demonstrating a good compliance to the RT nomenclature. Aggregated dose/volume descriptors are calculated based on the information in MIQA and sent to INCA using a dedicated service (MIQA2INCA). Correct linkage of data for each patient to the clinical cancer registries on the INCA platform is assured by the unique Swedish personal identity number.

Conclusions: An infrastructure for structured and automated prospective collection of syntactically inter operable RT data into a national clinical quality registry for RT data is under implementation. Future developments include adapting MIQA to other treatment modalities (e.g. proton therapy and brachytherapy) and finding strategies to harmonize structure delineations. How the RT registry should comply with domain-specific ontologies such as the Radiation Oncology Ontology (ROO) is under discussion. (C) 2016 Elsevier Ireland Ltd. All rights reserved.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 119, no 2, p. 344-350
Keywords [en]
Radiation therapy data, Radiation Oncology informatics, Medical informatics, Data standardization, Data integration
National Category
Cancer and Oncology Radiology, Nuclear Medicine and Medical Imaging
Research subject
Oncology; Radiology
Identifiers
URN: urn:nbn:se:oru:diva-51579DOI: 10.1016/j.radonc.2016.04.007ISI: 000379559400023PubMedID: 27102842Scopus ID: 2-s2.0-84973639276OAI: oai:DiVA.org:oru-51579DiVA, id: diva2:950964
Funder
VINNOVA
Note

Funding Agencies:

Swedish Radiation Safety Authority

Cancer Research Foundation in Northern Sweden

U-CAN, the Swedish testbed for innovative radiotherapy

Regional Cancer Centres and Gentle Radiotherapy

Available from: 2016-08-04 Created: 2016-08-04 Last updated: 2018-07-16Bibliographically approved

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Johansson, Bengt

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