First implementation of full-workflow automation in radiotherapy: the All-in-One solution on rectal cancer
Lei Yu, Jun Zhao, Fan Xia, Zhiyuan Zhang, Yanfang Liu, Wei Zhang,, Jingjie Zhou, Jiazhou Wang, Weigang Hu, Zhen Zhang

TL;DR
This paper presents the first implementation of a fully automated, AI-powered radiotherapy workflow for rectal cancer, integrating all procedures into a single seamless process that significantly reduces treatment preparation time.
Contribution
It introduces the All-in-One workflow that automates the entire radiotherapy process, demonstrating its feasibility and efficiency in clinical settings for rectal cancer treatment.
Findings
Autosegmentation and planning were clinically acceptable without modifications.
The entire process duration was approximately 23 minutes.
The workflow improved treatment efficiency and patient experience.
Abstract
The aim of this work is to describe the technical characteristics of an AI-powered radiotherapy workflow that enables full-process automation (All-in-One), evaluate its performance implemented for on-couch initial treatment of rectal cancer, and provide insight into the behavior of full-workflow automation in the specialty of radiotherapy. The All-in-One workflow was developed based on a CT-integrated linear accelerator. It incorporates routine radiotherapy procedures from simulation, autosegmentation, autoplanning, image guidance, beam delivery, and in vivo quality assurance (QA) into one scheme, with critical decision points involved, while the patient is on the treatment couch during the whole process. For the enrolled ten patients with rectal cancer, minor modifications of the autosegmented target volumes were required, and the Dice similarity coefficient and 95% Hausdorff distance…
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Taxonomy
TopicsAdvanced Radiotherapy Techniques · Advanced X-ray and CT Imaging · Surgical Simulation and Training
