Literature DB >> 24320494

Improving spot-scanning proton therapy patient specific quality assurance with HPlusQA, a second-check dose calculation engine.

Dennis Mackin1, Yupeng Li, Michael B Taylor, Matthew Kerr, Charles Holmes, Narayan Sahoo, Falk Poenisch, Heng Li, Jim Lii, Richard Amos, Richard Wu, Kazumichi Suzuki, Michael T Gillin, X Ronald Zhu, Xiaodong Zhang.   

Abstract

PURPOSE: The purpose of this study was to validate the use of HPlusQA, spot-scanning proton therapy (SSPT) dose calculation software developed at The University of Texas MD Anderson Cancer Center, as second-check dose calculation software for patient-specific quality assurance (PSQA). The authors also showed how HPlusQA can be used within the current PSQA framework.
METHODS: The authors compared the dose calculations of HPlusQA and the Eclipse treatment planning system with 106 planar dose measurements made as part of PSQA. To determine the relative performance and the degree of correlation between HPlusQA and Eclipse, the authors compared calculated with measured point doses. Then, to determine how well HPlusQA can predict when the comparisons between Eclipse calculations and the measured dose will exceed tolerance levels, the authors compared gamma index scores for HPlusQA versus Eclipse with those of measured doses versus Eclipse. The authors introduce the αβγ transformation as a way to more easily compare gamma scores.
RESULTS: The authors compared measured and calculated dose planes using the relative depth, z∕R × 100%, where z is the depth of the measurement and R is the proton beam range. For relative depths than less than 80%, both Eclipse and HPlusQA calculations were within 2 cGy of dose measurements on average. When the relative depth was greater than 80%, the agreement between the calculations and measurements fell to 4 cGy. For relative depths less than 10%, the Eclipse and HPlusQA dose discrepancies showed a negative correlation, -0.21. Otherwise, the correlation between the dose discrepancies was positive and as large as 0.6. For the dose planes in this study, HPlusQA correctly predicted when Eclipse had and had not calculated the dose to within tolerance 92% and 79% of the time, respectively. In 4 of 106 cases, HPlusQA failed to predict when the comparison between measurement and Eclipse's calculation had exceeded the tolerance levels of 3% for dose and 3 mm for distance-to-agreement.
CONCLUSIONS: The authors found HPlusQA to be reasonably effective (79% ± 10%) in determining when the comparison between measured dose planes and the dose planes calculated by the Eclipse treatment planning system had exceeded the acceptable tolerance levels. When used as described in this study, HPlusQA can reduce the need for patient specific quality assurance measurements by 64%. The authors believe that the use of HPlusQA as a dose calculation second check can increase the efficiency and effectiveness of the QA process.

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Year:  2013        PMID: 24320494     DOI: 10.1118/1.4828775

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  11 in total

1.  Patient-Specific QA of Spot-Scanning Proton Beams using Radiochromic Film.

Authors:  Maria F Chan; Chin-Cheng Chen; Chengyu Shi; Jingdong Li; Xiaoli Tang; Xiang Li; Dennis Mah
Journal:  Int J Med Phys Clin Eng Radiat Oncol       Date:  2017-05-16

Review 2.  Online daily adaptive proton therapy.

Authors:  Francesca Albertini; Michael Matter; Lena Nenoff; Ye Zhang; Antony Lomax
Journal:  Br J Radiol       Date:  2019-11-11       Impact factor: 3.039

3.  Fraction-variant beam orientation optimization for intensity-modulated proton therapy.

Authors:  Wenbo Gu; Daniel O'Connor; Dan Ruan; Wei Zou; Lei Dong; Ke Sheng
Journal:  Med Phys       Date:  2020-08-02       Impact factor: 4.071

Review 4.  Adaptive proton therapy.

Authors:  Harald Paganetti; Pablo Botas; Gregory C Sharp; Brian Winey
Journal:  Phys Med Biol       Date:  2021-11-15       Impact factor: 3.609

5.  Automation of routine elements for spot-scanning proton patient-specific quality assurance.

Authors:  Danairis Hernandez Morales; Jie Shan; Wei Liu; Kurt E Augustine; Martin Bues; Michael J Davis; Mirek Fatyga; Jedediah E Johnson; Daniel W Mundy; Jiajian Shen; James E Younkin; Joshua B Stoker
Journal:  Med Phys       Date:  2018-11-20       Impact factor: 4.071

6.  Clinical Implementation of a Proton Dose Verification System Utilizing a GPU Accelerated Monte Carlo Engine.

Authors:  Chris Beltran; H Wan Chan Tseung; Kurt E Augustine; Martin Bues; Daniel W Mundy; Timothy J Walsh; Michael G Herman; Nadia N Laack
Journal:  Int J Part Ther       Date:  2016-12-30

7.  Transitioning from measurement-based to combined patient-specific quality assurance for intensity-modulated proton therapy.

Authors:  Mei Chen; Pablo Yepes; Yoshifumi Hojo; Falk Poenisch; Yupeng Li; Jiayi Chen; Cheng Xu; Xiaodong He; G Brandon Gunn; Steven J Frank; Narayan Sahoo; Heng Li; Xiaorong Ronald Zhu; Xiaodong Zhang
Journal:  Br J Radiol       Date:  2019-12-16       Impact factor: 3.039

Review 8.  Towards effective and efficient patient-specific quality assurance for spot scanning proton therapy.

Authors:  X Ronald Zhu; Yupeng Li; Dennis Mackin; Heng Li; Falk Poenisch; Andrew K Lee; Anita Mahajan; Steven J Frank; Michael T Gillin; Narayan Sahoo; Xiaodong Zhang
Journal:  Cancers (Basel)       Date:  2015-04-10       Impact factor: 6.639

9.  Automation of Monte Carlo-based treatment plan verification for proton therapy.

Authors:  Maduka Kaluarachchi; Vadim Moskvin; Fakhriddin Pirlepesov; Lydia J Wilson; Fang Xie; Austin M Faught
Journal:  J Appl Clin Med Phys       Date:  2020-05-26       Impact factor: 2.102

10.  Clinical Validation of a Ray-Casting Analytical Dose Engine for Spot Scanning Proton Delivery Systems.

Authors:  James E Younkin; Danairis Hernandez Morales; Jiajian Shen; Jie Shan; Martin Bues; Jarrod M Lentz; Steven E Schild; Joshua B Stoker; Xiaoning Ding; Wei Liu
Journal:  Technol Cancer Res Treat       Date:  2019 Jan-Dec
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