ArticlePhysics and imaging in radiation oncology2023
End-to-end framework for automated collection of large multicentre radiotherapy datasets demonstrated in a Danish Breast Cancer Group cohort.
Article in Physics and imaging in radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Radiology research platform: automating multicenter radiological research workflows using a cloud-native platform.European radiology · 2026Article
- Large language models for scalable standardization in radiation oncology.Physics and imaging in radiation oncology · 2026Article
- Patient reported respiratory symptoms and lung radiation doses 11 years after loco-regional breast cancer radiation therapy in the DBCG RT Nation Study.Acta oncologica (Stockholm, Sweden) · 2025Article
- Harmonizing organ-at-risk structure names using open-source large language models.Physics and imaging in radiation oncology · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
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Abstract
Large Digital Imaging and Communications in Medicine (DICOM) datasets are key to support research and the development of machine learning technology in radiotherapy (RT). However, the tools for multi-centre data collection, curation and standardisation are not readily available. Automated batch DICOM export solutions were demonstrated for a multicentre setup. A Python solution, Collaborative DICOM analysis for RT (CORDIAL-RT) was developed for curation, standardisation, and analysis of the collected data. The setup was demonstrated in the DBCG RT-Nation study, where 86% (n = 7748) of treatments in the inclusion period were collected and quality assured, supporting the applicability of the end-to-end framework.
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Registered trials
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