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Purpose: Online Adaptive Radiation Therapy (oART) follows a different treatment paradigm than conventional radiotherapy, and because of this, the resources, implementation, and workflows needed are unique. The purpose of this report is to outline our institution's experience establishing, organizing, and implementing an oART program using the Ethos therapy system.
Methods: We include resources used, operational models utilized, program creation timelines, and our institutional experiences with the implementation and operation of an oART program. Additionally, we provide a detailed summary of our first year's clinical experience where we delivered over 1000 daily adaptive fractions. For all treatments, the different stages of online adaption, primary patient set-up, initial kV-CBCT acquisition, contouring review and edit of influencer structures, target review and edits, plan evaluation and selection, Mobius3D 2nd check and adaptive QA, 2nd kV-CBCT for positional verification, treatment delivery, and patient leaving the room, were analyzed.
Results: We retrospectively analyzed data from 97 patients treated from August 2021-August 2022. One thousand six hundred seventy seven individual fractions were treated and analyzed, 632(38%) were non-adaptive and 1045(62%) were adaptive. Seventy four of the 97 patients (76%) were treated with standard fractionation and 23 (24%) received stereotactic treatments. For the adaptive treatments, the generated adaptive plan was selected in 92% of treatments. On average(±std), adaptive sessions took 34.52 ± 11.42 min from start to finish. The entire adaptive process (from start of contour generation to verification CBCT), performed by the physicist (and physician on select days), was 19.84 ± 8.21 min.
Conclusion: We present our institution's experience commissioning an oART program using the Ethos therapy system. It took us 12 months from project inception to the treatment of our first patient and 12 months to treat 1000 adaptive fractions. Retrospective analysis of delivered fractions showed that the average overall treatment time was approximately 35 min and the average time for the adaptive component of treatment was approximately 20 min.
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http://dx.doi.org/10.1002/acm2.13961 | DOI Listing |
Med Phys
August 2025
Department of Radiation Oncology, First Affiliated Hospital of Soochow University, Suzhou, China.
Background: Online adaptive radiotherapy (OART) can address the reduction in radiation therapy precision caused by changes such as tumor shrinkage, rectal gas filling, and bladder distension. Currently, the determination of OART triggers during the fractions of radiotherapy requires clinicians to spend considerable effort and time on-site for assessments.
Objective: To reduce the clinical workload while maintaining the precision of radiotherapy, this study aims to explore the feasibility of developing a triggered OART prediction model for postoperative prostate cancer by combining radiomics and dosimetric features using machine learning.
Radiat Oncol
July 2025
Department of Radiation Oncology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, NO.1 Shuaifuyuan Wangfujing, Dongcheng District, 100730, Beijing, China.
Background: External beam radiotherapy (EBRT) is an essential component of standard treatment for locally advanced cervical cancer. Moderately hypofractionated radiotherapy (MHRT) offers the potential to reduce treatment burden while compromising efficacy. Although various studies have investigated the safety and efficacy of MHRT, high-quality evidence remains inadequate.
View Article and Find Full Text PDFJ Appl Clin Med Phys
July 2025
Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Purpose: The adaption of radiotherapy (RT) plans in response to anatomical and physiological changes during treatment marks a significant shift toward personalized cancer care. However, the complexity of Online Adaptive Radiotherapy (OART) procedures often leads to variability in treatment quality across institutions. The development of planning templates, particularly through the Ethos treatment planning system (TPS) and Intelligent Optimization Engine (IOE) (Varian Medical Systems, Palo Alto, CA), plays a crucial role in standardizing and streamlining OART.
View Article and Find Full Text PDFInt J Radiat Oncol Biol Phys
July 2025
Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. Electronic address:
Background: Interfraction variations during radiation therapy pose a challenge for patients with cervical cancer, highlighting the benefits of online adaptive radiation therapy (oART). However, adaptation decisions rely on subjective image reviews by physicians, leading to high interobserver variability and inefficiency. This study explores the feasibility of using artificial intelligence for decision-making in oART.
View Article and Find Full Text PDFFront Oncol
March 2025
Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: This study aims to investigate the feasibility of fan-beam computed tomography (FBCT)-guided online adaptive radiotherapy (oART) in radical radiotherapy for cervical cancer.
Methods: Ten patients who underwent radical radiotherapy for cervical cancer were enrolled in this study. All patients received external beam radiation therapy (EBRT) with a prescription dose of 50.