Multi‐institutional survey of source modeling parameters for proton pencil beam scanning treatment planning system commissioning

作者：Serdar Charyyev, Vivek Maradia, Chih‐Wei Chang, Liyong Lin, Lei Dong, Heng Li, Jan Schuemann, Jiajian Shen, Minglei Kang, Paige A. Taylor, Yawei Zhang, Shikui Tang, Peng Wang, D Freund, Hailei Zhang, Tianyu Zhao, Chang Chang, Chin‐Cheng Chen, Mark Pankuch, Mingcheng Gao, Francis T. S. Yu, Haibo Lin, Zuofeng Li, Tony Wong, Rajesh Regmi, Kenneth Poels, Tom Depuydt, Haoyang Liu, Bethany L. Broekhoven, Sina Mossahebi, Byong Yong Yi, Adam Paxton, Taeko Matsuura, Zishen Wang, Gloria Vilches‐Freixas, Yuting Lin, Samuel Kurucz, Xuanfeng Ding · 发表于：Medical Physics · 年份：2025 · DOI：10.1002/mp.70199 · 被引用次数：2 · 研究领域：Radiation Therapy and Dosimetry、X-ray Spectroscopy and Fluorescence Analysis、Boron Compounds in Chemistry

BACKGROUND: Standardizing beam modeling in the treatment planning system is challenging due to machine-specific configuration variations. Because of the proton therapy system (PTS) complexity and continuous development, there is no vendor's representative ("golden") beam data like in LINACs at this stage. PURPOSE: The primary goal of this study is to create a PTS-specific repository of source model parameters and beam commissioning data for scanning proton therapy treatment planning systems and establish a set of reference values with associated bands of variations for this data. METHODS: ) and (iv) distal falloff. For each PTS, we plotted each parameter as a function of nominal energy and performed polynomial regression analysis with optimal model selection based on Akaike Information Criterion. We calculated intraclass correlation coefficients (ICC) to quantify inter-PTS variability and generated uncertainty bands representing standard deviations across PTSs for each parameter. Additionally, we computed percentage deviations of each individual PTS from the overall multivendor mean to identify systematic vendor-specific patterns and outliers across the 31 total PTSs analyzed. RESULTS: Multivendor beam parameter analysis across 31 PTSs revealed systematic vendor-specific patterns in interPTS consistency and energy dependencies. Beam meterset calibration demonstrated excellent interPTS consistency across most vendors (ICC: Varian ProBeam ≈ 0, IBA Proteus ONE = 0.006, Mevion S2...