Technical Note: Investigating interplay effects in pencil beam scanning proton therapy with a 4D XCAT phantom within the RayStation treatment planning system.
XCAT phantom
interplay effect
moving target
proton therapy
Journal
Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746
Informations de publication
Date de publication:
Mar 2021
Mar 2021
Historique:
revised:
27
12
2020
received:
02
08
2020
accepted:
30
12
2020
pubmed:
8
1
2021
medline:
15
5
2021
entrez:
7
1
2021
Statut:
ppublish
Résumé
Pencil beam scanning (PBS) for moving targets is known to be impacted by interplay effects. Four-dimensional computed tomography (4DCT)-based motion evaluation is crucial for understanding interplay and developing mitigation strategies. Availability of high-quality 4DCTs with variable breathing traces is limited. Purpose of this work is the development of a framework for interplay analysis using 4D-XCAT phantoms in conjunction with time-resolved irradiation patterns in a commercial treatment planning system (TPS). Four-dimensional dynamically accumulated dose distributions (4DDDs) are simulated in an in-silico study for a PBS liver treatment. An XCAT phantom with 50 phases, varying linearly in amplitude each by 1 mm, was combined with the RayStation TPS (7.99.10). Deformable registration was used with time-resolved dose calculation, mapping XCAT phases to motion signals. To illustrate the applicability of the method a two-field liver irradiation plan was used. A variety sin A framework is presented for interplay research, allowing for flexibility in determining motion management techniques, increasing reproducibility, and enabling comparisons of different methods. A case study showed the interplay effect was correlated with amplitude and strongly affected by the starting phase, leading to large variance. The average of all scenarios (single fraction) resulted in HI5 of 0.31 (±0.11), while introduction of five times layered repainting reduced this to 0.11(±0.03). The developed framework, which uses the XCAT phantom and RayStation, allows detailed analysis of motion in context of PBS with comparable results to clinical cases. Flexibility in defining motion patterns for detailed anatomies in combination with time-resolved dose calculation, facilitates investigation of optimal treatment and motion mitigation strategies.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1448-1455Informations de copyright
© 2021 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.
Références
Chang JY, Zhang X, Knopf A, et al. Consensus guidelines for implementing pencil-beam scanning proton therapy for thoracic malignancies on behalf of the PTCOG thoracic and lymphoma subcommittee. Int J Radiat Oncol Biol Phys. 2017;99:41-50.
Seco J, Robertson D, Trofimov A, Paganetti H. Breathing interplay effects during proton beam scanning: simulation and statistical analysis. Phys Med Biol. 2009;54:N283-N294.
Lee E, Perry D, Speth J, Zhang Y, Xiao Z. Measurement-based study on characterizing symmetric and asymmetric respiratory motion interplay effect on target dose distribution in the proton pencil beam scanning. J Appl Clin Med Phys. 2020;21:59-67.
Engwall E, Glimelius L, Hynning E. Effectiveness of different rescanning techniques for scanned proton radiotherapy in lung cancer patients. Phys Med Biol. 2018;63:095006.
Pfeiler T, Bäumer C, Engwall E, et al. Experimental validation of a 4D dose calculation routine for pencil beam scanning proton therapy. Z Med Phys. 2018;28:121-133.
Meijers A, Jakobi A, Stützer K, et al. Log file-based dose reconstruction and accumulation for 4D adaptive pencil beam scanned proton therapy in a clinical treatment planning system: implementation and proof-of-concept. Med Phys. 2019;46:1140-1149.
Boye D, Lomax T, Knopf A. Mapping motion from 4D-MRI to 3D-CT for use in 4D dose calculations: a technical feasibility study. Med Phys. 2013;40:061702.
Segars WP, Sturgeon G, Mendonca S, Grimes J, Tsuiet BMW. 4D XCAT phantom for multimodality imaging research. Med Phys. 2010;37:4902-4915.
Lomax A. What will the medical physics of proton therapy look like 10 yr from now? A personal view. Med Phys. 2018;45:e984-e993.
Segars WP, Norris H, Sturgeon GM, et al. The development of a population of 4D pediatric XCAT phantoms for imaging research and optimization. Med Phys. 2015;42:4719-4726.
Koybasi O, Mishra P, St James S, Lewis JH, Seco J. Simulation of dosimetric consequences of 4D-CT-based motion margin estimation for proton radiotherapy using patient tumor motion data. Phys Med Biol. 2014;59:853-867.
Sentker T, Schmidt V, Ozga A-K, et al. 4D CT image artifacts affect local control in SBRT of lung and liver metastases. Radiother Oncol. 2020;148:229-234.
Yamamoto T, Langner U, Loo BW, Shen J, Keall PJ. Retrospective analysis of artifacts in four-dimensional CT images of 50 abdominal and thoracic radiotherapy patients. Int J Radiat Oncol Biol Phys. 2008;72:1250-1258.
ICRP. Basic Anatomical and Physiological Data for Use in Radiological Protection Reference Values. ICRP Publication 89. Vol. Ann. ICRP 32 (3-4); 2002.
Medicine, T.N.L.o. The National Library of Medicine’s Visible Human Project. Available from https://www.nlm.nih.gov/research/visible/visible_human.html
Segars WP, Mahesh M, Beck TJ, Frey EC, Tsui BMW. Realistic CT simulation using the 4D XCAT phantom. Med Phys. 2008;35:3800-3808.
Mishra P, St James S, Paul Segars W, Berbeco RI, Lewis JH Adaptation and applications of a realistic digital phantom based on patient lung tumor trajectories. Phys Med Biol. 2012;57:3597-3608.
Myronakis ME, Cai W, Dhou S, et al. A graphical user interface for XCAT phantom configuration, generation and processing. Biomed Phys Eng Expr. 2017;3:017003.
Weistrand O, Svensson S. The ANACONDA algorithm for deformable image registration in radiotherapy. Med Phys. 2015;42:40-53.
RaySearchLaboratories. RAYSTATION 9B Scripting Guideline. RaySearch Laboratories AB (publ); 2019. 5.3.027.
Engwall E, Fredriksson A, Glimelius L. 4D robust optimization including uncertainties in time structures can reduce the interplay effect in proton pencil beam scanning radiation therapy. Med Phys. 2018;45:4020-4029.
Siregar H, Bäumer C, Blanck O, et al. Mitigation of motion effects in pencil-beam scanning - impact of repainting on 4D robustly optimized proton treatment plans for hepatocellular carcinoma. Zeitschrift für Medizinische Physik. 2020; in press.
Gierga DP, Chen GTY, Kung JH, Betke M, Lombardi J, Willett CG. Quantification of respiration-induced abdominal tumor motion and its impact on IMRT dose distributions. Int J Radiat Oncol Biol Phys. 2004;58:1584-1595.
Kirilova A, Lockwood G, Choi P, et al. Three-dimensional motion of liver tumors using cine-magnetic resonance imaging. Int J Radiat Oncol Biol Phys. 2008;71:1189-1195.
Pfeiler T, Khalil DA, Ayadi M, et al. Motion effects in proton treatments of hepatocellular carcinoma-4D robustly optimised pencil beam scanning plans versus double scattering plans. Phys Med Biol. 2018;63:235006.
Bert C, Grözinger SO, Rietzel E. Quantification of interplay effects of scanned particle beams and moving targets. Phys Med Biol. 2008;53:2253-2265.
Bernatowicz K, Lomax AJ, Knopf A. Comparative study of layered and volumetric rescanning for different scanning speeds of proton beam in liver patients. Phys Med Biol. 2013;58:7905-7920.
Eiben B, Bertholet J, Menten MJ, Nill S, Oelfke U, McClelland JR. Consistent and invertible deformation vector fields for a breathing anthropomorphic phantom: a post-processing framework for the XCAT phantom. Phys Med Biol. 2020;65:165005.
Williams CL, Mishra P, Seco J, et al. A mass-conserving 4D XCAT phantom for dose calculation and accumulation. Med Phys. 2013;40:071728.
Ernst F. Algorithms for Compensation of Quasi-periodic Motion in Robotic Radiosurgery. New York, NY: Springer; 2011.
Trnková P, Knäusl B, Actis O, et al. Clinical implementations of 4D pencil beam scanned particle therapy: report on the 4D treatment planning workshop 2016 and 2017. Physica Med. 2018;54:121-130.