Big Data Readiness in Radiation Oncology: An Efficient Approach for Relabeling Radiation Therapy Structures With Their TG-263 Standard Name in Real-World Data Sets

PURPOSE: To prepare for big data analyses on radiation therapy data, we developed Stature, a tool-supported approach for standardization of structure names in existing radiation therapy plans. We applied the widely endorsed nomenclature standard TG-263 as the mapping target and quantified the struct...

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Detalles Bibliográficos
Autores principales: Schuler, Thilo, Kipritidis, John, Eade, Thomas, Hruby, George, Kneebone, Andrew, Perez, Mario, Grimberg, Kylie, Richardson, Kylie, Evill, Sally, Evans, Brooke, Gallego, Blanca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Physics Contribution
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349627/
https://www.ncbi.nlm.nih.gov/pubmed/30706028
http://dx.doi.org/10.1016/j.adro.2018.09.013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349627/
https://www.ncbi.nlm.nih.gov/pubmed/30706028
http://dx.doi.org/10.1016/j.adro.2018.09.013

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