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 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 structure name inconsistency in 2 real-world data sets.

Methods And Materials: The clinically relevant structures in the radiation therapy plans were identified by reference to randomized controlled trials.