  On a dataset of 21 prostate IMRT cases collected at the Stanford Radiation Oncology Clinic (SROC) , our proposed POPS algorithm produces pareto optimal plans that perform well in regards to clinical acceptability. Compared to the SF scores of manually generated plans, SF scores for POPS plans were significantly better (p=2.6e-7).
<meaning-changed>   On a dataset of 21 prostate IMRT cases collected at the Stanford Radiation Oncology Clinic (SROC) , our proposed POPS algorithm produces pareto optimal plans that perform well in regards to clinical acceptability. Compared to the SF scores of manually generated plans, SF scores for POPS plans were significantly better (p=2.6e-7).
 On a dataset of 21 prostate IMRT cases collected at the Stanford Radiation Oncology Clinic (SROC) , our proposed POPS algorithm produces pareto optimal plans that perform well in regards to dose conformity, dose homogeneity, and sparing URLans-at-risk. Conclusion: