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Automatic Head and Neck Treatment Planning Using ESAPI and Rapid Plan Model

B Gu*, J Kavanaugh , J Hilliard , Washington University in St. Louis, St. Louis, MO

Presentations

(Sunday, 7/14/2019)  

Room: ePoster Forums

Purpose: To develop an automatic treatment planning process and tools for head and neck region specially for those who need a re-CT during fractionated radiotherapy due to tumor volumetric and position changes。The process efficiency and the planning quality of the automatic re-plans were evaluated.

Methods: The head and neck IMRT treatment planning present greater challenges due to multi-level PTV doses, the geometry overlapping and the anatomy of the surrounding critical structures. A standard naming convention was implemented specially for PTVs which can provide the information such as rescan, overlapping status (opt structure) and the dose to receive. An automated application was developed in the Microsoft Visual Studio utilizing the Varian Eclipse Application Programming Interface (ESAPI), the script can be run in the External Beam Planning module. The script automatically matches the dose level to the PTVs and call a rapid plan model to generate the DVH estimate for the re-CT data set. The gantry angles of the plan are automatically set to be the same as of the original plan. The only inputs for the script to run are the name of original plan and the re-CT data set. A total of 21 patients that underwent re-CT were selected for the scripts testing. Quality of the automatic plans were assessed by comparing 18 out of the 21 patients’ clinical manual rescan-plans (Pinnacle).

Results: 21 manually created testing rapid plans were compared with the scripts generated plans. Both plans achieved similar dose distribution except auto-plans is more efficient. 18 clinical rescan-plans were also compared with the auto plans for PTV coverage and OAR sparing assessment. In general, the auto plans provide better PTV coverage and OAR sparing.

Conclusion: The automatic script not only provides a practical way to generate clinically acceptable high-quality head-neck plans but also improves the planning efficiency.

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