Multi-Institutional Validation of a Practical, Reconfigurable Phantom for End-to-End Verification of Cone-Beam CT-Based Online Adaptive Radiotherapy Systems

PURPOSE: Clinical implementation of online adaptive radiotherapy (ART) requires new quality assurance (QA) methods and equipment. We introduce a novel QA phantom designed to verify online ART treatment planning and delivery through practical, comprehensive end-to-end tests. Furthermore, we present the results of a multi-institutional validation of the phantom applied to CBCT-guided online ART systems. METHODS AND MATERIALS: ) were compared between the original and adaptive plans. Physical dose measurements were made in several locations using either plastic scintillators or an ion chamber, and four sessions were analyzed using film. Lastly, target volumes were contoured repeatedly by three separate users to estimate intra-/inter-user contouring variability. RESULTS: All three institutions used the phantom to test their online ART system's ability to adapt to changing target morphology. Across both plans, changes in target coverage metrics were small (95% of values ≤ 3.3%) and similar between original and adapted plans. However, changes in morphology increased OAR metrics by 20-60 cGy when using the original plan. Adapted plans did not increase dose to the OAR or compromise target coverage. The accurate delivery of the plans was confirmed with > 97% of physical measurements ≤ 5% of their expected value and film gamma rates of 90.7-95.9%. Intra-/inter-user target volume variability was 1.0-1.7% and 1.3-2.4%, respectively. CONCLUSIONS: The phantom was successfully used at three separate institutions to verify the entire online ART treatment planning and delivery workflow.

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Publication Details

Journal
Practical Radiation Oncology
Published
2026-04-01
DOI
https://doi.org/10.1016/j.prro.2026.03.007
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-Institutional Validation of a Practical, Reconfigurable Phantom for End-to-End Verification of Cone-Beam CT-Based Online Adaptive Radiotherapy Systems

Adam D. Yock, Xenia Ray, Annie Cooney, Sarah E Masick et al.
Practical Radiation Oncology
Advanced Radiotherapy Techniques
article

Multi-Institutional Validation of a Practical, Reconfigurable Phantom for End-to-End Verification of Cone-Beam CT-Based Online Adaptive Radiotherapy Systems

Adam D. Yock, Xenia Ray, Annie Cooney, Sarah E Masick, Ivy Cornelison, Dennis N. Stanley
article en

Abstract

PURPOSE: Clinical implementation of online adaptive radiotherapy (ART) requires new quality assurance (QA) methods and equipment. We introduce a novel QA phantom designed to verify online ART treatment planning and delivery through practical, comprehensive end-to-end tests. Furthermore, we present the results of a multi-institutional validation of the phantom applied to CBCT-guided online ART systems. METHODS AND MATERIALS: ) were compared between the original and adaptive plans. Physical dose measurements were made in several locations using either plastic scintillators or an ion chamber, and four sessions were analyzed using film. Lastly, target volumes were contoured repeatedly by three separate users to estimate intra-/inter-user contouring variability. RESULTS: All three institutions used the phantom to test their online ART system's ability to adapt to changing target morphology. Across both plans, changes in target coverage metrics were small (95% of values ≤ 3.3%) and similar between original and adapted plans. However, changes in morphology increased OAR metrics by 20-60 cGy when using the original plan. Adapted plans did not increase dose to the OAR or compromise target coverage. The accurate delivery of the plans was confirmed with > 97% of physical measurements ≤ 5% of their expected value and film gamma rates of 90.7-95.9%. Intra-/inter-user target volume variability was 1.0-1.7% and 1.3-2.4%, respectively. CONCLUSIONS: The phantom was successfully used at three separate institutions to verify the entire online ART treatment planning and delivery workflow.

Practical Radiation Oncology
University of Alabama at Birmingham (US), University of California San Diego (US), Vanderbilt University Medical Center (US)
Vanderbilt University, Varian Medical Systems
Openalex Percentile: Top 21%
Advanced Radiotherapy Techniques
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