Optimal Gating Window for Respiratory-Gated Pencil Beam Scanning Proton Therapy for Lung Cancer: A pilot study

Authors

  • Nattakarn Kittiva Medical Physics Program, Faculty of Medicine and Public Health, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand
  • Chirasak Khamfongkhruea Medical Physics Program, Faculty of Medicine and Public Health, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand
  • Sasikarn Chamchod Radiation Oncology Department, Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand
  • Sumana Paduka Radiation Oncology Department, Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand
  • Thiansin Liamsuwan Medical Physics Program, Faculty of Medicine and Public Health, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand

Keywords:

proton therapy, respiratory gating, pencil beam scanning, gating window, treatment efficiency

Abstract

Backgrounds: Pencil beam scanning (PBS) proton therapy has the capability of delivering conformal dose to the target with a relatively low dose to normal tissues. Several studies have shown the advantages of PBS for lung cancer treatment. However, respiratory motion causes the interplay effect between organ motion and dynamic beam delivery.

Objective: To investigate the efficiency of gated PBS proton therapy for a lung cancer patient with the target motion of larger than 10 mm for different gating windows (GWs) by considering dosimetric parameters of organs at risk (OARs) and treatment time.

Materials and Methods: The four-dimensional computed tomography (4DCT) dataset of a lung cancer patient with the target motion of 11.6 mm was used in this study. The internal target motion was defined by deformable image registration of the GTV in each respiratory phase to end-exhalation phase, while the external motion was defined by using the RPMTM (Real-time-Position-Management) data. The relationship between external and internal motion was investigated. The treatment plans for the different GWs with internal motion ranging from 2 mm to 11.6 mm were created using matRad, an open-source treatment planning system for generic treatment machines. The dosimetric parameters for OARs from each plan were compared using the ungated plan as the reference. The treatment time was evaluated based on published data of Varian’s ProBeam.

Results: The treatment plans with the GWs of 10%-80%, 20%-70%, 30%-70% and 40%-60% resulted in the reduction of Dmean in the heart by 1.43-14.29% and the reduction of Dmean in the lung by 2.25-8.84%, while the treatment time ranged from 103.5-253.0 s, respectively. In this case, the GW of 30%-70% was found to be most optimized as dose in the heart and lung decreased by up to 4.6% compared to those of the 20%-70% GW and increased by up to 3.0% compared to those of the 40%-60% GW. However, the treatment time when using the 30%-70% GW was 24 s longer than using the 20%-70% GW but 95 s shorter than using 40%-60% GW.

Conclusion: Respiratory gating led to a reduction of the target volume and dose in surrounding normal tissues. A trade-off between the increased dose in the OARs and the shorter treatment time needed to be justified for determination of the optimal gating window.

References

Paganetti H, Bortfeld T. Proton Therapy. In: Schlegel W, Bortfeld T, Grosu A-L, editors. New Technologies in Radiation Oncology. Berlin, Heidelberg: Springer Berlin Heidelberg; 2006. p. 345-63.

Han Y. Current status of proton therapy techniques for lung cancer. Radiat Oncol J. 2019;37:232-48.

Chang JY, Zhang X, Wang X, Kang Y, Riley B, Bilton S, et al. Significant reduction of normal tissue dose by proton radiotherapy compared with three-dimensional conformal or intensity-modulated radiation therapy in Stage I or Stage III non–small-cell lung cancer. Int J Radiat Oncol Biol Phys. 2006;65:1087-96.

Nichols RC, Huh SN, Henderson RH, Mendenhall NP, Flampouri S, Li Z, et al. Proton radiation therapy offers reduced normal lung and bone marrow exposure for patients receiving dose-escalated radiation therapy for unresectable stage III non-small-cell lung cancer: a dosimetric study. Clin Lung Cancer. 2011;12:252-7.

Oh D. Proton therapy: the current status of the clinical evidences. Precis Future Med. 2019;3:91-102.

Bert C, Durante M. Motion in radiotherapy: particle therapy. Phys Med Biol. 2011;56:R113.

Phillips MH, Pedroni E, Blattmann H, Boehringer T, Coray A, Scheib S. Effects of respiratory motion on dose uniformity with a charged particle scanning method. Phys Med Biol. 1992;37:223.

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.

Zhang Y, Huth I, Wegner M, Weber DC, Lomax AJ. An evaluation of rescanning technique for liver tumour treatments using a commercial PBS proton therapy system. Radiother Oncol. 2016;121:281-7.

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.

Underberg RW, Lagerwaard FJ, Slotman BJ, Cuijpers JP, Senan S. Benefit of respiration-gated stereotactic radiotherapy for stage I lung cancer: an analysis of 4DCT datasets. Int J Radiat Oncol Biol Phys. 2005;62:554-60.

Giraud P, Morvan E, Claude L, Mornex F, Le Pechoux C, Bachaud J-M, et al. Respiratory gating techniques for optimization of lung cancer radiotherapy. J Thorac Oncol. 2011;6:2058-68.

Giraud P, Antoine M, Larrouy A, Milleron B, Callard P, De Rycke Y, et al. Evaluation of microscopic tumor extension in non–small-cell lung cancer for three-dimensional conformal radiotherapy planning. Int J Radiat Oncol Biol Phys. 2000;48:1015-24.

Wieser HP, Cisternas E, Wahl N, Ulrich S, Stadler A, Mescher H, et al. Development of the open‐source dose calculation and optimization toolkit matRad. Med phys. 2017;44:2556-68.

Giaddui T, Chen W, Yu J, Lin L, Simone CB, Yuan L, et al. Establishing the feasibility of the dosimetric compliance criteria of RTOG 1308: phase III randomized trial comparing overall survival after photon versus proton radiochemotherapy for inoperable stage II-IIIB NSCLC. Radiat Oncol. 2016;11:1-7.

Marks LB, Yorke ED, Jackson A, Ten Haken RK, Constine LS, Eisbruch A, et al. Use of normal tissue complication probability models in the clinic. Int J Radiat Oncol Biol Phys 2010;76:S10-9.

Rahman M, Bruza P, Lin Y, Gladstone DJ, Pogue BW, Zhang R. Producing a Beam Model of the Varian ProBeam Proton Therapy System using TOPAS Monte Carlo Toolkit. Med Phys. 2020;11:1-7.

Poulsen PR, Eley J, Langner U, Simone II CB, Langen K. Efficient interplay effect mitigation for proton pencil beam scanning by spot-adapted layered repainting evenly spread out over the full breathing cycle. Int J Radiat Oncol Biol Phys. 2018;100:226-34.

Jang SS, Huh GJ, Park SY, Yang PS, Cho EY. The impact of respiratory gating on lung dosimetry in stereotactic body radiotherapy for lung cancer. Phys Med. 2014;30:682-9.

Zhang Y, Huth I, Wegner M, Weber DC, Lomax AJ. Surface as a motion surrogate for gated re-scanned pencil beam proton therapy. Phys Med Biol. 2017;62:4046.

Liu C, Alessio AM, Kinahan PE. Respiratory motion correction for quantitative PET/CT using all detected events with internal—external motion correlation. Med phys. 2011;38:2715-23.

Winter J, Ellerbrock M, Jäkel O, Greilich S, Bangert M. Analytical modeling of depth-dose degradation in heterogeneous lung tissue for intensity-modulated proton therapy planning. Phys and Im in Rad Onc. 2020;14:32-8.

Langner UW, Eley JG, Dong L, Langen K. Comparison of multi‐institutional Varian ProBeam pencil beam scanning proton beam commissioning data. J Appl Clin Med Phys. 2017;18:96-107.

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Published

2021-10-14

How to Cite

1.
Kittiva N, Khamfongkhruea C, Chamchod S, Paduka S, Liamsuwan T. Optimal Gating Window for Respiratory-Gated Pencil Beam Scanning Proton Therapy for Lung Cancer: A pilot study. J Thai Assn of Radiat Oncol [Internet]. 2021 Oct. 14 [cited 2024 Apr. 20];27(2):R60-R75. Available from: https://he01.tci-thaijo.org/index.php/jtaro/article/view/249865

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