To evaluate the performance of progressive optimization algorithm-based Auto-Planning module in automated volumetric-modulated arc therapy (VMAT) planning for nasopharyngeal carcinoma.

Thirteen treated VMAT plans of nasopharyngeal carcinoma were re-planed with Auto-Planning module. Only one cycle of automated optimization of the Auto-Planning module was performed for each plan without any manual intervention. The dosimetric parameters of the automated treatment plans were compared with those of the manual plans. Paired t-test was used for statistical analysis. The time required for automated planning using the Auto-Planning module was also measured.

All plans generated with the Auto-Planning module met the routine dosimetric requirements and were acceptable for clinical use. The homogeneity index of targets was superior in the automated plans than in manual plans (P=0.000). In addition, the automated plans had significantly improved protection for some organs at risk than the manual plans. The mean dose to the left and right parotids were reduced by 7.75 Gy (P=0.000) and 5.79 Gy (P=0.000) in the automated plans, respectively. Furthermore, the V₆₀(0.58% vs. 3.12%, P=0.000) and D_mean(34.11 Gy vs. 40.78 Gy, P=0.000) of the mandible were also significantly lower with Auto-Planning than with manual planning.

Auto-Planning module can improve the overall quality and consistency of treatment plans, and reduce the workload and time of treatment planning, resulting in substantially enhanced treatment planning efficiency.

Nasopharyngeal neoplasmsl; Radiotherapy planning, computer-Assisted; Volumetric modulated arc therapy