Evaluation of two independent dose prediction methods to personalize the automated radiotherapy planning process for prostate cancer.

ABSTRACT:

Background and purpose

Currently, automatic approaches for radiotherapy planning are widely used, however creation of high quality treatment plans is still challenging. In this study, two independent dose prediction methods were used to personalize the initial settings for the automated planning template for optimizing prostate cancer treatment plans. This study evaluated the dose metrics of these plans comparing both methods with the current clinical automated prostate cancer treatment plans.

Material and methods

Datasets of 20 high-risk prostate cancer treatment plans were taken from our clinical database. The prescription dose for these plans was 70 Gy given in fractions of 2.5 Gy. Plans were replanned using the current clinical automated treatment and compared with two p

SUBMITTER: Kusters M 

PROVIDER: S-EPMC8819373 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature