A motion model-guided 4D dose reconstruction for pencil beam scanned proton therapy

Objective. 4D dose reconstruction in proton therapy with pencil beam scanning (PBS) typically relies on a single pre-treatment 4DCT (p4DCT). However, breathing motion during the fractionated treatment can vary considerably in both amplitude and frequency. We present a novel 4D dose reconstruction method combining delivery log files with patient-specific motion models, to account for the dosimetric effect of intra- and inter-fractional breathing variability. Approach. Correlation between an external breathing surrogate and anatomical deformations of the p4DCT is established using principal component analysis. Using motion trajectories of a surface marker acquired during the dose delivery by an optical tracking system, deformable motion fields are retrospectively reconstructed and used to generate time-resolved synthetic 4DCTs (‘5DCTs’) by warping a reference CT. For three abdominal/thoracic patients, treated with respiratory gating and rescanning, example fraction doses were reconstructed using the resulting 5DCTs and delivery log files. The motion model was validated beforehand using leave-one-out cross-validation (LOOCV) with subsequent 4D dose evaluations. Moreover, besides fractional motion, fractional anatomical changes were incorporated as proof of concept. Main results. For motion model validation, the comparison of 4D dose distributions for the original 4DCT and predicted LOOCV resulted in 3%/3 mm gamma pass rates above 96.2%. Prospective gating simulations on the p4DCT can overestimate the target dose coverage V95% by up to 2.1% compared to 4D dose reconstruction based on observed surrogate trajectories. Nevertheless, for the studied clinical cases treated with respiratory-gating and rescanning, an acceptable target coverage was maintained with V95% remaining above 98.8% for all studied fractions. For these gated treatments, larger dosimetric differences occurred due to CT changes than due to breathing variations. Significance. To gain a better estimate of the delivered dose, a retrospective 4D dose reconstruction workflow based on motion data acquired during PBS proton treatments was implemented and validated, thus considering both intra- and inter-fractional motion and anatomy changes.

[1]  A. Lomax,et al.  Limitations of phase-sorting based pencil beam scanned 4D proton dose calculations under irregular motion , 2022, Physics in medicine and biology.

[2]  M. Stock,et al.  The Influence of Motion on the Delivery Accuracy When Comparing Actively Scanned Carbon Ions versus Protons at a Synchrotron-Based Radiotherapy Facility , 2022, Cancers.

[3]  A. Jakobi,et al.  Experimental validation of 4D log file-based proton dose reconstruction for interplay assessment considering amplitude-sorted 4DCTs. , 2022, Medical physics.

[4]  M. Donetti,et al.  Extension of RBE-weighted 4D particle dose calculation for non-periodic motion. , 2021, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[5]  A. Bel,et al.  Evaluating differences in respiratory motion estimates during radiotherapy: a single planning 4DMRI versus daily 4DMRI , 2021, Radiation oncology.

[6]  A. Lomax,et al.  OC-0360 A surrogate-driven motion model for incorporating motion irregularity into 4D proton treatment , 2021, Radiotherapy and Oncology.

[7]  Oliver Bieri,et al.  Liver-ultrasound-guided lung tumour tracking for scanned proton therapy: a feasibility study , 2020, Physics in medicine and biology.

[8]  A. Crijns,et al.  Evaluation of interplay and organ motion effects by means of 4D dose reconstruction and accumulation. , 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[9]  A. Lomax,et al.  Commissioning and quality assurance of a novel solution for respiratory-gated PBS proton therapy based on optical tracking of surface markers , 2020, Zeitschrift fur medizinische Physik.

[10]  A. Lomax,et al.  Liver-ultrasound based motion modelling to estimate 4D dose distributions for lung tumours in scanned proton therapy , 2020, Physics in medicine and biology.

[11]  Francesca Albertini,et al.  Online daily adaptive proton therapy. , 2020, The British journal of radiology.

[12]  A. Lomax,et al.  Dosimetric uncertainties as a result of temporal resolution in 4D dose calculations for PBS proton therapy , 2019, Physics in medicine and biology.

[13]  G Guterres Marmitt,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 , 2019, Medical physics.

[14]  Rosalind Perrin,et al.  The dosimetric effect of residual breath-hold motion in pencil beam scanned proton therapy - An experimental study. , 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[15]  A. Lomax,et al.  4DMRI-based investigation on the interplay effect for pencil beam scanning proton therapy of pancreatic cancer patients , 2019, Radiation oncology.

[16]  Paul Keall,et al.  A ROI-based global motion model established on 4DCT and 2D cine-MRI data for MRI-guidance in radiation therapy , 2019, Physics in medicine and biology.

[17]  K. Herfarth,et al.  Significance of intra-fractional motion for pancreatic patients treated with charged particles , 2018, Radiation oncology.

[18]  E. Engwall,et al.  Effectiveness of different rescanning techniques for scanned proton radiotherapy in lung cancer patients , 2018, Physics in medicine and biology.

[19]  Sairos Safai,et al.  Experimental validation of a deforming grid 4D dose calculation for PBS proton therapy , 2018, Physics in medicine and biology.

[20]  A. Lomax,et al.  Feasibility of Pencil Beam Scanned Intensity Modulated Proton Therapy in Breath-hold for Locally Advanced Non-Small Cell Lung Cancer. , 2017, International journal of radiation oncology, biology, physics.

[21]  Alessandra Bolsi,et al.  Treatment log files as a tool to identify treatment plan sensitivity to inaccuracies in scanned proton beam delivery. , 2017, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[22]  Marco Riboldi,et al.  Examination of a deformable motion model for respiratory movements and 4D dose calculations using different driving surrogates , 2017, Medical physics.

[23]  A. Lomax,et al.  Monitoring of breathing motion in image-guided PBS proton therapy: comparative analysis of optical and electromagnetic technologies , 2017, Radiation oncology.

[24]  M. Hiraoka,et al.  Development of a four-dimensional Monte Carlo dose calculation system for real-time tumor-tracking irradiation with a gimbaled X-ray head. , 2017, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[25]  Marco Riboldi,et al.  Evaluation of residual abdominal tumour motion in carbon ion gated treatments through respiratory motion modelling. , 2017, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[26]  Damien Charles Weber,et al.  An evaluation of rescanning technique for liver tumour treatments using a commercial PBS proton therapy system. , 2016, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[27]  Bjorn Stemkens,et al.  Image-driven, model-based 3D abdominal motion estimation for MR-guided radiotherapy , 2016, Physics in medicine and biology.

[28]  D C Weber,et al.  Assessing the quality of proton PBS treatment delivery using machine log files: comprehensive analysis of clinical treatments delivered at PSI Gantry 2 , 2016, Physics in medicine and biology.

[29]  A J Lomax,et al.  Independent dose calculations for commissioning, quality assurance and dose reconstruction of PBS proton therapy , 2015, Physics in medicine and biology.

[30]  Pietro Cerveri,et al.  Surrogate-driven deformable motion model for organ motion tracking in particle radiation therapy , 2015, Physics in medicine and biology.

[31]  A J Lomax,et al.  Online image guided tumour tracking with scanned proton beams: a comprehensive simulation study , 2014, Physics in medicine and biology.

[32]  C. Simone,et al.  Dynamic simulation of motion effects in IMAT lung SBRT , 2014, Radiation oncology.

[33]  U. Jelen,et al.  A 4D dose computation method to investigate motion interplay effects in scanned ion beam prostate therapy , 2014, Physics in medicine and biology.

[34]  Marco Durante,et al.  Four-dimensional patient dose reconstruction for scanned ion beam therapy of moving liver tumors. , 2014, International journal of radiation oncology, biology, physics.

[35]  David Sarrut,et al.  Tumor tracking method based on a deformable 4D CT breathing motion model driven by an external surface surrogate. , 2014, International journal of radiation oncology, biology, physics.

[36]  James Shackleford,et al.  Motion interplay as a function of patient parameters and spot size in spot scanning proton therapy for lung cancer. , 2013, International journal of radiation oncology, biology, physics.

[37]  Antje Knopf,et al.  Mapping motion from 4D-MRI to 3D-CT for use in 4D dose calculations: A technical feasibility study. , 2013, Medical physics.

[38]  O Jäkel,et al.  Upgrade and benchmarking of a 4D treatment planning system for scanned ion beam therapy. , 2013, Medical physics.

[39]  Gábor Székely,et al.  Population based modeling of respiratory lung motion and prediction from partial information , 2013, Medical Imaging.

[40]  Eros Pedroni,et al.  Improving the precision and performance of proton pencil beam scanning , 2012 .

[41]  Tinsu Pan,et al.  Patient specific respiratory motion modeling using a 3D patient's external surface. , 2012, Medical physics.

[42]  Antje-Christin Knopf,et al.  Scanned proton radiotherapy for mobile targets—the effectiveness of re-scanning in the context of different treatment planning approaches and for different motion characteristics , 2011, Physics in medicine and biology.

[43]  E Heath,et al.  Dosimetric consequences of tumour motion due to respiration for a scanned proton beam , 2011, Physics in medicine and biology.

[44]  Philippe C. Cattin,et al.  3D Organ Motion Prediction for MR-Guided High Intensity Focused Ultrasound , 2011, MICCAI.

[45]  M. Modat,et al.  Inter-fraction variations in respiratory motion models , 2011, Physics in medicine and biology.

[46]  D Meer,et al.  A study on repainting strategies for treating moderately moving targets with proton pencil beam scanning at the new Gantry 2 at PSI , 2010, Physics in medicine and biology.

[47]  W. Segars,et al.  4D XCAT phantom for multimodality imaging research. , 2010, Medical physics.

[48]  Steve B. Jiang,et al.  On a PCA-based lung motion model , 2010, Physics in medicine and biology.

[49]  S van de Water,et al.  Tumour tracking with scanned proton beams: assessing the accuracy and practicalities , 2009, Physics in medicine and biology.

[50]  Joao Seco,et al.  Breathing interplay effects during proton beam scanning: simulation and statistical analysis , 2009, Physics in medicine and biology.

[51]  C. Ling,et al.  A patient-specific respiratory model of anatomical motion for radiation treatment planning. , 2007, Medical physics.

[52]  Philippe C. Cattin,et al.  Inter-subject Modelling of Liver Deformation During Radiation Therapy , 2007, MICCAI.

[53]  Christoph Bert,et al.  4D treatment planning for scanned ion beams , 2007, Radiation oncology.

[54]  P Boesiger,et al.  4D MR imaging of respiratory organ motion and its variability , 2007, Physics in medicine and biology.

[55]  X Allen Li,et al.  Technical and dosimetric aspects of respiratory gating using a pressure-sensor motion monitoring system. , 2005, Medical physics.

[56]  Philippe C. Cattin,et al.  Towards more precise, minimally-invasive tumour treatment under free breathing , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[57]  Christian Hilbes,et al.  The PSI Gantry 2: a second generation proton scanning gantry. , 2004, Zeitschrift fur medizinische Physik.

[58]  E. Pedroni,et al.  Dose calculation models for proton treatment planning using a dynamic beam delivery system: an attempt to include density heterogeneity effects in the analytical dose calculation. , 1999, Physics in medicine and biology.