A retrospective study to establish recommendations for plan quality metrics in Lung SBRT

The increased use of Stereotactic body radiation therapy (SBRT) has warranted a new method of plan evaluation. The crucial component of SBRT is the precise, conformal delivery of radiation dose to the target with rapid dose fall-off in the surrounding normal tissues.In this study, we retrospectively evaluated plan quality in lung SBRT patients by calculating conformity, homogeneity, and gradient parameters using an in-house script. The goal of this study was to establish achievable, size-dependent recommendations for these plan quality metrics such that they may be used as a guideline in our clinic. Seventy-three patients treated with lung SBRT at The University of Toledo Medical Center during the period 2017-2020 were retrospectively reviewed for this study. Plans were evaluated using dosimetric indices from respective The Radiation Therapy Oncology Group (RTOG) and International Commission on Radiation Units and Measurements (ICRU) protocols. Average values for each of the following indices were calculated: RTOG conformity index = 1.12 ± 0.13; Paddick conformity index = 0.82 ± 0.07; gradient index = 4.63 ± 0.71; and Homogeneity index = 0.3 ± 0.07, for all studied lung lesions with a mean volume of 23.2 cc. Our final recommendations are based on clinically approved plans, after having removed statistical outliers that we may not have approved had the metrics been calculated. Additionally, we observed that a sharper dose fall-off and a more homogeneous plan were found using 6 FFF compared to 10 FFF energy. Comparison between our results and RTOG0915 data shows no deviation or minor deviation for the RTOG conformity index and the ratio of 50% prescription isodose volume to the target volume. Furthermore, no statistically significant correlation between RTOG conformity index and target volume was observed which is in agreement with RTOG0915. Using various dosimetric indices to characterize dose distributions in lung SBRT is a powerful tool to assess plan quality. We recommend that these values be calculated for all plans, utilizing a script or program so as to improve clinical workflow.