Literature DB >> 26767316

Assessing the quality of proton PBS treatment delivery using machine log files: comprehensive analysis of clinical treatments delivered at PSI Gantry 2.

D Scandurra1, F Albertini, R van der Meer, G Meier, D C Weber, A Bolsi, A Lomax.   

Abstract

Pencil beam scanning (PBS) proton therapy requires the delivery of many thousand proton beams, each modulated for position, energy and monitor units, to provide a highly conformal patient treatment. The quality of the treatment is dependent on the delivery accuracy of each beam and at each fraction. In this work we describe the use of treatment log files, which are a record of the machine parameters for a given field delivery on a given fraction, to investigate the integrity of treatment delivery compared to the nominal planned dose. The dosimetry-relevant log file parameters are used to reconstruct the 3D dose distribution on the patient anatomy, using a TPS-independent dose calculation system. The analysis was performed for patients treated at Paul Scherrer Institute on Gantry 2, both for individual fields and per series (or plan), and delivery quality was assessed by determining the percentage of voxels in the log file dose distribution within  +/-  1% of the nominal dose. It was seen that, for all series delivered, the mean pass rate is 96.4%. Furthermore, this work establishes a correlation between the delivery quality of a field and the beam position accuracy. This correlation is evident for all delivered fields regardless of individual patient or plan characteristics. We have also detailed further usefulness of log file analysis within our clinical workflow. In summary, we have highlighted that the integrity of PBS treatment delivery is dependent on daily machine performance and is specifically highly correlated with the accuracy of beam position. We believe this information will be useful for driving machine performance improvements in the PBS field.

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Mesh:

Year:  2016        PMID: 26767316     DOI: 10.1088/0031-9155/61/3/1171

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  6 in total

Review 1.  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

2.  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

3.  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

4.  Validation of dose distribution for liver tumors treated with real-time-image gated spot-scanning proton therapy by log data based dose reconstruction.

Authors:  Takahiro Yamada; Seishin Takao; Hidenori Koyano; Hideaki Nihongi; Yusuke Fujii; Shusuke Hirayama; Naoki Miyamoto; Taeko Matsuura; Kikuo Umegaki; Norio Katoh; Isao Yokota; Hiroki Shirato; Shinichi Shimizu
Journal:  J Radiat Res       Date:  2021-07-10       Impact factor: 2.724

5.  Highly efficient and sensitive patient-specific quality assurance for spot-scanned proton therapy.

Authors:  J E Johnson; C Beltran; H Wan Chan Tseung; D W Mundy; J J Kruse; T J Whitaker; M G Herman; K M Furutani
Journal:  PLoS One       Date:  2019-02-14       Impact factor: 3.240

6.  Fast robust dose calculation on GPU for high-precision 1H, 4He, 12C and 16O ion therapy: the FRoG platform.

Authors:  Stewart Mein; Kyungdon Choi; Benedikt Kopp; Thomas Tessonnier; Julia Bauer; Alfredo Ferrari; Thomas Haberer; Jürgen Debus; Amir Abdollahi; Andrea Mairani
Journal:  Sci Rep       Date:  2018-10-04       Impact factor: 4.379

  6 in total

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