Proof of concept of fully automated adaptive workflow for head and neck radiotherapy treatments with a conventional linear accelerator.

ABSTRACT:

Introduction

The objective of this study is to evaluate the performance of an automatic workflow for head-and-neck (H&N) radiotherapy using a multi-atlas based auto-contouring software and an a-priori multicriteria plan optimization algorithm and implement an adaptive online approach with CBCT images. Two different modalities are investigated, the fluence-to-position (FTP) and the adapt-to-shape (ATS) approach.

Materials and methods

Nine patients are used for the multi-atlas database. The organs at risk (OARs) of the H&N district and five additional structures (air, fat, tissue, bone and patient's exterior) subsequently used for the creation of the synthetic CT are auto-contoured with the Elekta ADMIRE^® software. The mCycle algorithm is used for the a-priori multi

SUBMITTER: Muti G 

PROVIDER: S-EPMC11799547 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature