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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.

Purpose: To establish predictive models for late objective aspiration and late patient-reported choking based on dose-volume parameters and baseline patient and treatment characteristics, for patients with head and neck cancer undergoing definitive radiotherapy (RT). The impact of electively treated volume on late aspiration was also investigated. Methods and material: This prospective cohort is a subsample of 124 survivors from the ARTSCAN study. Late aspiration was identified with videofluoroscopy, at a minimum of 25 months after the start of RT. Patient-reported choking was analysed at 12 and 60 months post RT using the EORTC Quality of Life Module for Head and Neck Cancer 35. Univariable and multivariable analyses were performed to describe the association between clinical factors and dose-volume descriptors for organs at risk (OARs) and late dysphagia. Results: Aspiration was found in 47% of the eligible patients. Mean dose to the middle pharyngeal constrictor (MPC), neck dissection post RT and age at randomisation in ARTSCAN were associated to late aspiration. Mean dose to the superior pharyngeal constrictor (SPC) and swallowing complaints at baseline were associated to patient reported choking at both time-points. Conclusions: Three separate risk groups for late aspiration, and two risk groups for late patient-reported choking were identified based on number of risk factors. The size of the electively treated volume could be used as a surrogate for individual OARs predicting late aspiration.