Automated radiation therapy treatment plan workflow using a commercial application programming interface

Lindsey A. Olsen, Clifford G. Robinson, Guangrong R. He, H. Omar Wooten, Sridhar Yaddanapudi, Sasa Mutic, Deshan Yang, Kevin L. Moore

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Purpose: The objective of this study was to create a workflow for the automation and standardization of treatment plan generation and evaluation using an application programming interface (API) to access data from a commercial treatment planning system (Varian Medical Systems, Inc, Palo Alto, CA). Methods and materials: The automation workflow begins with converting electronic patient-specific physician treatment planning orders that specify demographics, simulation instructions, and dosimetric objectives for targets and organs at risk into XML files. These XML files are used to generate standard contour names, beam, and patient-specific intensity modulated radiation therapy (IMRT) optimization templates to be executed in a commercial treatment planning system (TPS) by the user. A set of computer programs have been developed to provide quality control (QC) reports that verify demographic information in the TPS against the treatment planning orders, ensure the existence and proper naming of organs at risk, and generate patient-specific plan evaluation reports that provide real-time feedback on the concordance of an active treatment plan to the physician-specified treatment planning goals. Results: A workflow for lung IMRT was chosen as a test scenario. Contour, beam, and patient-specific IMRT optimization templates were automatically generated from the physician treatment planning orders and loaded into the planning system. The QC reports were developed for lung IMRT, including the option of patient-specific modifications to the standard templates. The API QC reporting includes a dynamic program that runs in parallel to the TPS during the planning process, providing real-time feedback as to whether physician-specified treatment plan parameters have improved or worsened from previous iterations. Conclusions: User-created computer programs to access information in the TPS database by means of a commercial TPS API enable automation and standardization of treatment plan generation and evaluation.

Original languageEnglish
Pages (from-to)358-367
Number of pages10
JournalPractical Radiation Oncology
Volume4
Issue number6
DOIs
StatePublished - Nov 1 2014

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