Technical note: A knowledge graph approach to registering tumour specific data of patient‐candidates for proton therapy in the Netherlands

Abstract The registration of multi‐source radiation oncology data is a time‐consuming and labour‐intensive procedure. The standardisation of data collection offers the possibility for the acquisition of quality data for research and clinical purposes. With this study, we present an overview of the different tumour group data lists in the Dutch national proton therapy registry. Furthermore, as a representative example of the workings of these different tumour‐specific knowledge graphs, we present the FAIR (Findable, Accessible, Interoperable, Reusable) data principles‐compliant knowledge graph... Mehr ...

Verfasser: Kalendralis, Petros
Sloep, Matthijs
Choudhury, Ananya
Seyben, Lerau
Snel, Jasper
George, Nibin Moni
Veugen, Joeri
Veening, Martijn
Langendijk, Johannes A.
Dekker, Andre
van Soest, Johan
Fijten, Rianne
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Reihe/Periodikum: Medical Physics ; volume 50, issue 2, page 1044-1050 ; ISSN 0094-2405 2473-4209
Verlag/Hrsg.: Wiley
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29221668
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://dx.doi.org/10.1002/mp.16105

Abstract The registration of multi‐source radiation oncology data is a time‐consuming and labour‐intensive procedure. The standardisation of data collection offers the possibility for the acquisition of quality data for research and clinical purposes. With this study, we present an overview of the different tumour group data lists in the Dutch national proton therapy registry. Furthermore, as a representative example of the workings of these different tumour‐specific knowledge graphs, we present the FAIR (Findable, Accessible, Interoperable, Reusable) data principles‐compliant knowledge graph approach describing the head and neck tumour variables using radiotherapy domain ontologies and semantic web technologies. Our goal is to provide the radiotherapy community with a flexible and interoperable data model for data exchange between centres. We highlight data variables that are needed for models used in the model‐based approach (MBA), which ensures a fair selection of patients that will benefit most from proton therapy.