Adaptive Proton Therapy Using CBCT-Guided Digital Twins

TL;DR

This paper introduces a digital twin framework to improve adaptive proton SBRT for prostate cancer, addressing anatomical variations and enhancing personalized treatment accuracy.

Contribution

It presents a novel digital twin approach that utilizes patient-specific uncertainties to optimize treatment plans in prostate radiotherapy.

Findings

Improved treatment plan accuracy using digital twins.

Reduction in setup uncertainties compared to conventional methods.

Potential for enhanced patient outcomes and personalized therapy.

Abstract

This study aims to develop a digital twin (DT) framework to enhance adaptive proton stereotactic body radiation therapy (SBRT) for prostate cancer. Prostate SBRT has emerged as a leading option for external beam radiotherapy due to its effectiveness and reduced treatment duration. However, interfractional anatomy variations can impact treatment outcomes. This study seeks to address these uncertainties using DT concept, with the goal of improving treatment quality, potentially revolutionizing prostate radiotherapy to offer personalized treatment solutions. Our study presented a pioneering approach that leverages DT technology to enhance adaptive proton SBRT. The framework improves treatment plans by utilizing patient-specific CTV setup uncertainty, which is usually smaller than conventional clinical setups. This research contributes to the ongoing efforts to enhance the efficiency and efficacy of prostate radiotherapy, with ultimate goals of improving patient outcomes and life quality.