A national approach for automated collection of standardized and population-based radiation therapy data in Sweden. Issue 2 (May 2016)
- Record Type:
- Journal Article
- Title:
- A national approach for automated collection of standardized and population-based radiation therapy data in Sweden. Issue 2 (May 2016)
- Main Title:
- A national approach for automated collection of standardized and population-based radiation therapy data in Sweden
- Authors:
- Nyholm, Tufve
Olsson, Caroline
Agrup, Måns
Björk, Peter
Björk-Eriksson, Thomas
Gagliardi, Giovanna
Grinaker, Hanne
Gunnlaugsson, Adalsteinn
Gustafsson, Anders
Gustafsson, Magnus
Johansson, Bengt
Johnsson, Stefan
Karlsson, Magnus
Kristensen, Ingrid
Nilsson, Per
Nyström, Leif
Onjukka, Eva
Reizenstein, Johan
Skönevik, Johan
Söderström, Karin
Valdman, Alexander
Zackrisson, Björn
Montelius, Anders - Abstract:
- Abstract: 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®, Mosaiq®, Eclipse™, and Oncentra® 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.Abstract: 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®, Mosaiq®, Eclipse™, and Oncentra® 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 interoperable 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. … (more)
- Is Part Of:
- Radiotherapy and oncology. Volume 119:Issue 2(2016:May)
- Journal:
- Radiotherapy and oncology
- Issue:
- Volume 119:Issue 2(2016:May)
- Issue Display:
- Volume 119, Issue 2 (2016)
- Year:
- 2016
- Volume:
- 119
- Issue:
- 2
- Issue Sort Value:
- 2016-0119-0002-0000
- Page Start:
- 344
- Page End:
- 350
- Publication Date:
- 2016-05
- Subjects:
- Radiation therapy data -- Radiation Oncology informatics -- Medical informatics -- Data standardization -- Data integration
Oncology -- Periodicals
Radiotherapy -- Periodicals
Tumors -- Periodicals
Medical Oncology -- Periodicals
Neoplasms -- radiotherapy -- Periodicals
Radiotherapy -- Periodicals
Radiothérapie -- Périodiques
Cancérologie -- Périodiques
Tumeurs -- Périodiques
Electronic journals
616.9940642 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01678140 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/01678140 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/01678140 ↗
http://www.estro.org/ ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/radiotherapy-and-oncology/ ↗ - DOI:
- 10.1016/j.radonc.2016.04.007 ↗
- Languages:
- English
- ISSNs:
- 0167-8140
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7240.790000
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