Direct optimization of the probability of lesion origin in proton treatment planning for low‐grade glioma patients

BACKGROUND: ) and proximal to the ventricular system, the probability of lesion origin (POLO) model has been established as a multivariate logistic regression model for the voxel-wise probability prediction of the CEBL origin. PURPOSE: distribution to minimize the resulting probability predictions. In this paper, we therefore propose automated POLO model-based treatment planning by directly integrating POLO calculation and optimization into plan optimization for LGG patients. APPROACH: We introduce an extension of the original POLO model including a volumetric correction factor, and a model-based optimization scheme featuring a linear reformulation of the model together with feasible optimization functions based on the predicted POLO values. The developed framework is implemented in the open-source treatment planning toolkit matRad. RESULTS: ), even when NTCP is strongly downregulated. CONCLUSION: distribution. Future work should address multipatient follow-up studies.