Assessment of daily dose accumulation for robustly optimized intensity modulated proton therapy treatment of prostate cancer.

[1]  A. Jemal,et al.  Cancer statistics, 2020 , 2020, CA: a cancer journal for clinicians.

[2]  Jinzhong Yang,et al.  Quantifying the accuracy of deformable image registration for cone‐beam computed tomography with a physical phantom , 2019, Journal of applied clinical medical physics.

[3]  Mitsuhiro Nakamura,et al.  Accumulation of the delivered treatment dose in volumetric modulated arc therapy with breath-hold for pancreatic cancer patients based on daily cone beam computed tomography images with limited field-of-view. , 2019, Medical physics.

[4]  Indrin J Chetty,et al.  Deformable Registration for Dose Accumulation. , 2019, Seminars in radiation oncology.

[5]  Hiromi Baba,et al.  Usefulness of hybrid deformable image registration algorithms in prostate radiation therapy , 2018, Journal of applied clinical medical physics.

[6]  Swamidas V Jamema,et al.  Commissioning and validation of commercial deformable image registration software for adaptive contouring. , 2018, 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.

[7]  W. Tomé,et al.  Comparing photon and proton-based hypofractioned SBRT for prostate cancer accounting for robustness and realistic treatment deliverability. , 2017, The British journal of radiology.

[8]  Murat Surucu,et al.  Evaluation of Deformable Image Registration-Based Contour Propagation From Planning CT to Cone-Beam CT , 2017, Technology in cancer research & treatment.

[9]  N. Kadoya,et al.  Evaluation of the performance of deformable image registration between planning CT and CBCT images for the pelvic region: comparison between hybrid and intensity-based DIR , 2017, Journal of radiation research.

[10]  Ke Sheng,et al.  Treatment planning comparison of IMPT, VMAT and 4π radiotherapy for prostate cases , 2017, Radiation Oncology.

[11]  Brian Winey,et al.  Water equivalent path length calculations using scatter-corrected head and neck CBCT images to evaluate patients for adaptive proton therapy , 2017, Physics in medicine and biology.

[12]  Christopher Kurz,et al.  Investigating deformable image registration and scatter correction for CBCT-based dose calculation in adaptive IMPT. , 2016, Medical physics.

[13]  Alexander Derksen,et al.  Deformable image registration for adaptive radiotherapy with guaranteed local rigidity constraints , 2016, Radiation Oncology.

[14]  Christopher Kurz,et al.  Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images , 2016, Radiation Oncology.

[15]  Marc Modat,et al.  Cone-Beam Computed Tomography and Deformable Registration-Based “Dose of the Day” Calculations for Adaptive Proton Therapy , 2015 .

[16]  A. Hirsch,et al.  Daily patient setup error in prostate image guided radiation therapy with fiducial-based kilovoltage onboard imaging and conebeam computed tomography. , 2015, Quantitative imaging in medicine and surgery.

[17]  H Kim,et al.  Comparison of different QA methods for deformable image registration to the known errors for prostate and head-and-neck virtual phantoms , 2015 .

[18]  Katia Parodi,et al.  Investigating CT to CBCT image registration for head and neck proton therapy as a tool for daily dose recalculation. , 2015, Medical physics.

[19]  Katia Parodi,et al.  Phantom based evaluation of CT to CBCT image registration for proton therapy dose recalculation , 2015, Physics in medicine and biology.

[20]  G C Sharp,et al.  Validation of a deformable image registration technique for cone beam CT-based dose verification. , 2014, Medical physics.

[21]  G. Sharp,et al.  Proton dose calculation on scatter-corrected CBCT image: Feasibility study for adaptive proton therapy. , 2014, Medical physics.

[22]  O. Zeidan,et al.  Dosimetric study of uniform scanning proton therapy planning for prostate cancer patients with a metal hip prosthesis, and comparison with volumetric‐modulated arc therapy , 2014, Journal of applied clinical medical physics.

[23]  I. Chetty,et al.  A novel approach for establishing benchmark CBCT/CT deformable image registrations in prostate cancer radiotherapy , 2013, Physics in medicine and biology.

[24]  Ludvig Paul Muren,et al.  Dose/volume-based evaluation of the accuracy of deformable image registration for the rectum and bladder , 2013, Acta oncologica.

[25]  Andrew K. Lee,et al.  Multifield optimization intensity-modulated proton therapy (MFO-IMPT) for prostate cancer: Robustness analysis through simulation of rotational and translational alignment errors. , 2013, Medical dosimetry : official journal of the American Association of Medical Dosimetrists.

[26]  Suguru Dobashi,et al.  Evaluation of various deformable image registration algorithms for thoracic images , 2013, Journal of radiation research.

[27]  I. Chetty,et al.  Evaluation of multiple image-based modalities for image-guided radiation therapy (IGRT) of prostate carcinoma: a prospective study. , 2013, Medical physics.

[28]  Cai Grau,et al.  Degradation of target coverage due to inter-fraction motion during intensity-modulated proton therapy of prostate and elective targets , 2013, Acta oncologica.

[29]  J. Pouliot,et al.  The need for application-based adaptation of deformable image registration. , 2012, Medical physics.

[30]  A. Jemal,et al.  International variation in prostate cancer incidence and mortality rates. , 2012, European urology.

[31]  R. Mohan,et al.  Robust optimization of intensity modulated proton therapy. , 2012, Medical physics.

[32]  G. Bauman,et al.  Inter- and intrafraction uncertainty in prostate bed image-guided radiotherapy. , 2011, International journal of radiation oncology, biology, physics.

[33]  A. Trofimov,et al.  Evaluation of the dosimetric impact of interfractional anatomical variations on prostate proton therapy using daily in-room CT images. , 2011, Medical physics.

[34]  Fang-Fang Yin,et al.  Adaptive Radiation Therapy: Technical Components and Clinical Applications , 2011, Cancer journal.

[35]  Anders Forsgren,et al.  Minimax optimization for handling range and setup uncertainties in proton therapy. , 2011, Medical physics.

[36]  M. Alber,et al.  Study of robustness of IMPT and IMRT for prostate cancer against organ movement. , 2009, International journal of radiation oncology, biology, physics.

[37]  Wolfgang Birkfellner,et al.  Image quality and stability of image-guided radiotherapy (IGRT) devices: A comparative study. , 2009, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[38]  Luca Incrocci,et al.  Deformation of prostate and seminal vesicles relative to intraprostatic fiducial markers. , 2008, International journal of radiation oncology, biology, physics.

[39]  U Oelfke,et al.  Worst case optimization: a method to account for uncertainties in the optimization of intensity modulated proton therapy , 2008, Physics in medicine and biology.

[40]  A J Lomax,et al.  Intensity modulated proton therapy and its sensitivity to treatment uncertainties 2: the potential effects of inter-fraction and inter-field motions , 2008, Physics in medicine and biology.

[41]  A. Lomax,et al.  Intensity modulated proton therapy and its sensitivity to treatment uncertainties 1: the potential effects of calculational uncertainties , 2008, Physics in medicine and biology.

[42]  Eduard Schreibmann,et al.  Quantitative evaluation of a cone‐beam computed tomography–planning computed tomography deformable image registration method for adaptive radiation therapy , 2007, Journal of applied clinical medical physics.

[43]  Zuofeng Li,et al.  Dose-volume Comparison of Proton Therapy and Intensity Modulated Radiation Therapy in the Treatment of Prostate Cancer , 2007 .

[44]  Radhe Mohan,et al.  Effect of anatomic motion on proton therapy dose distributions in prostate cancer treatment. , 2007, International journal of radiation oncology, biology, physics.

[45]  Radhe Mohan,et al.  A deformable image registration method to handle distended rectums in prostate cancer radiotherapy. , 2006, Medical physics.

[46]  H. Kooy,et al.  Proton beam therapy , 2005, British Journal of Cancer.

[47]  John Wong,et al.  Assessment of residual error for online cone-beam CT-guided treatment of prostate cancer patients. , 2004, International journal of radiation oncology, biology, physics.

[48]  Lei Dong,et al.  Intrafraction prostate motion during IMRT for prostate cancer. , 2001, International journal of radiation oncology, biology, physics.

[49]  D. Jaffray,et al.  Cone-beam computed tomography with a flat-panel imager: magnitude and effects of x-ray scatter. , 2001, Medical physics.

[50]  C. Pelizzari,et al.  Evaluation of changes in the size and location of the prostate, seminal vesicles, bladder, and rectum during a course of external beam radiation therapy. , 1995, International journal of radiation oncology, biology, physics.

[51]  Riccardo Calandrino,et al.  Helical tomotherapy and intensity modulated proton therapy in the treatment of early stage prostate cancer: a treatment planning comparison. , 2011, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[52]  Max A. Viergever,et al.  elastix: A Toolbox for Intensity-Based Medical Image Registration , 2010, IEEE Transactions on Medical Imaging.