CT-on-Rails Versus In-Room CBCT for Online Daily Adaptive Proton Therapy of Head-and-Neck Cancers

被引:29
作者
Nesteruk, Konrad P. [1 ,2 ]
Bobic, Mislav [1 ,2 ,3 ]
Lalonde, Arthur [1 ,2 ]
Winey, Brian A. [1 ,2 ]
Lomax, Antony J. [3 ,4 ]
Paganetti, Harald [1 ,2 ]
机构
[1] Massachusetts Gen Hosp, Dept Radiat Oncol, Boston, MA 02114 USA
[2] Harvard Med Sch, Boston, MA 02114 USA
[3] Swiss Fed Inst Technol, Dept Phys, CH-8093 Zurich, Switzerland
[4] Paul Scherrer Inst, Ctr Proton Therapy, CH-5232 Villigen, Switzerland
基金
瑞士国家科学基金会;
关键词
adaptive proton therapy; CT-on-rails; CBCT; Monte Carlo; head-and-neck cancers; positioning uncertainties; ANALYTICAL DOSE CALCULATIONS; CONE-BEAM CT; RANGE UNCERTAINTIES; RADIOTHERAPY; OPTIMIZATION; REGISTRATION; ALGORITHMS; IMRT;
D O I
10.3390/cancers13235991
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary Daily adaptive proton therapy will allow the unique properties of protons to be fully exploited. Cone-beam CT (CBCT) is the primary imaging modality considered for daily adaptation due to its low cost, compactness, and thus wide availability. However, there are proton therapy centers equipped with CT-on-rails or considering the installation of such scanners for the so-called "near-treatment-position" imaging. Our study addresses the critical question, whether CT-on-rails is a suitable modality for daily adaptive proton therapy. Although high precision accuracies have been claimed for CT-on-rails, no quantitative study of the adaptation efficacy with increased treatment execution uncertainties has ever been performed. In this paper, we demonstrate that the expected uncertainties will not affect the dosimetric efficacy of the adaptation based on in-room CT for head and neck cancers, and thus CT-on-rails applied to "near-treatment-position" imaging is a suitable modality for online adaptive proton therapy. Purpose: To compare the efficacy of CT-on-rails versus in-room CBCT for daily adaptive proton therapy. Methods: We analyzed a cohort of ten head-and-neck patients with daily CBCT and corresponding virtual CT images. The necessity of moving the patient after a CT scan is the most significant difference in the adaptation workflow, leading to an increased treatment execution uncertainty sigma. It is a combination of the isocenter-matching sigma(i) and random patient movements induced by the couch motion sigma(m). The former is assumed to never exceed 1 mm. For the latter, we studied three different scenarios with sigma(m) = 1, 2, and 3 mm. Accordingly, to mimic the adaptation workflow with CT-on-rails, we introduced random offsets after Monte-Carlo-based adaptation but before delivery of the adapted plan. Results: There were no significant differences in accumulated dose-volume histograms and dose distributions for sigma(m) = 1 and 2 mm. Offsets with sigma(m) = 3 mm resulted in underdosage to CTV and hot spots of considerable volume. Conclusion: Since sigma(m) typically does not exceed 2 mm for in-room CT, there is no clinically significant dosimetric difference between the two modalities for online adaptive therapy of head-and-neck patients. Therefore, in-room CT-on-rails can be considered a good alternative to CBCT for adaptive proton therapy.
引用
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页数:13
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共 38 条
[1]   ONLINE ADAPTIVE REPLANNING METHOD FOR PROSTATE RADIOTHERAPY [J].
Ahunbay, Ergun E. ;
Peng, Cheng ;
Holmes, Shannon ;
Godley, Andrew ;
Lawton, Colleen ;
Li, X. Allen .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2010, 77 (05) :1561-1572
[2]   Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system [J].
Barker, JL ;
Garden, AS ;
Ang, KK ;
O'Daniel, JC ;
Wang, H ;
Court, LE ;
Morrison, WH ;
Rosenthal, DI ;
Chao, KSC ;
Tucker, SL ;
Mohan, R ;
Dong, L .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2004, 59 (04) :960-970
[3]   Comparison of weekly and daily online adaptation for head and neck intensity-modulated proton therapy [J].
Bobic, Mislav ;
Lalonde, Arthur ;
Sharp, Gregory C. ;
Grassberger, Clemens ;
Verburg, Joost M. ;
Winey, Brian A. ;
Lomax, Antony J. ;
Paganetti, Harald .
PHYSICS IN MEDICINE AND BIOLOGY, 2021, 66 (05)
[4]   Experiences at the Paul Scherrer Institute with a remote patient positioning procedure for high-throughput proton radiation therapy [J].
Bolsi, Alessandra ;
Lomax, Antony J. ;
Pedroni, Eros ;
Goitein, Gudrun ;
Hug, Eugen .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2008, 71 (05) :1581-1590
[5]   Online adaption approaches for intensity modulated proton therapy for head and neck patients based on cone beam CTs and Monte Carlo simulations [J].
Botas, P. ;
Kim, J. ;
Winey, B. ;
Paganetti, H. .
PHYSICS IN MEDICINE AND BIOLOGY, 2019, 64 (01)
[6]   Investigation of the radiation dose from cone-beam CT for image-guided radiotherapy: A comparison of methodologies [J].
Buckley, Jarryd G. ;
Wilkinson, Dean ;
Malaroda, Alessandra ;
Metcalfe, Peter .
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2018, 19 (01) :174-183
[7]   Adaptive Radiotherapy of Head and Neck Cancer [J].
Castadot, Pierre ;
Lee, John A. ;
Geets, Xavier ;
Gregoire, Vincent .
SEMINARS IN RADIATION ONCOLOGY, 2010, 20 (02) :84-93
[8]   Validating robotic couch isocentricity with 3D surface imaging [J].
El-Sherif, Omar ;
Remmes, Nicholas B. ;
Kruse, Jon J. .
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2020, 21 (08) :168-172
[9]   Limitations of analytical dose calculations for small field proton radiosurgery [J].
Geng, Changran ;
Daartz, Juliane ;
Lam-Tin-Cheung, Kimberley ;
Bussiere, Marc ;
Shih, Helen A. ;
Paganetti, Harald ;
Schuemann, Jan .
PHYSICS IN MEDICINE AND BIOLOGY, 2017, 62 (01) :246-257
[10]   Validation of a GPU-based Monte Carlo code (gPMC) for proton radiation therapy: clinical cases study [J].
Giantsoudi, Drosoula ;
Schuemann, Jan ;
Jia, Xun ;
Dowdell, Stephen ;
Jiang, Steve ;
Paganetti, Harald .
PHYSICS IN MEDICINE AND BIOLOGY, 2015, 60 (06) :2257-2269