Locating and targeting moving tumors with radiation beams.

The current climate of rapid technological evolution is reflected in newer and better methods to modulate and direct radiation beams for cancer therapy. This Vision 20/20 paper focuses on part of this evolution, locating and targeting moving tumors. The two processes are somewhat independent and in principle different implementations of the locating and targeting processes can be interchanged. Advanced localization and targeting methods have an impact on treatment planning and also present new challenges for quality assurance (QA), that of verifying real-time delivery. Some methods to locate and target moving tumors with radiation beams are currently FDA approved for clinical use-and this availability and implementation will increase with time. Extensions of current capabilities will be the integration of higher order dimensionality, such as rotation and deformation in addition to translation, into the estimate of the patient pose and real-time reoptimization and adaption of delivery to the dynamically changing anatomy of cancer patients.

[1]  George T. Y. Chen,et al.  Four-dimensional image-based treatment planning: Target volume segmentation and dose calculation in the presence of respiratory motion. , 2005, International journal of radiation oncology, biology, physics.

[2]  S Kramer,et al.  A prospective randomized study of various irradiation doses and fractionation schedules in the treatment of inoperable non‐oat‐cell carcinoma of the lung. Preliminary report by the radiation therapy oncology group , 1980, Cancer.

[3]  J. Wong,et al.  The use of active breathing control (ABC) to reduce margin for breathing motion. , 1999, International journal of radiation oncology, biology, physics.

[4]  José Belderbos,et al.  Biology contributionComparing different NTCP models that predict the incidence of radiation pneumonitis , 2003 .

[5]  Jan Seuntjens,et al.  A deformable phantom for 4D radiotherapy verification: design and image registration evaluation. , 2008, Medical physics.

[6]  Arthur L Boyer,et al.  Respiratory gated beam delivery cannot facilitate margin reduction, unless combined with respiratory correlated image guidance. , 2008, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[7]  Paul J Keall,et al.  Geometric uncertainty of 2D projection imaging in monitoring 3D tumor motion. , 2007, Physics in medicine and biology.

[8]  R K Ten Haken,et al.  Radiation pneumonitis as a function of mean lung dose: an analysis of pooled data of 540 patients. , 1998, International journal of radiation oncology, biology, physics.

[9]  S Webb,et al.  A strategy to minimize errors from differential intrafraction organ motion using a single configuration for a ‘breathing’ multileaf collimator , 2006, Physics in medicine and biology.

[10]  P Okunieff,et al.  Radiation dose-response of human tumors. , 1995, International journal of radiation oncology, biology, physics.

[11]  Søren M Bentzen,et al.  Randomized controlled trials in health technology assessment: overkill or overdue? , 2008, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[12]  Cedric X. Yu,et al.  Real-time intra-fraction-motion tracking using the treatment couch: a feasibility study , 2005, Physics in medicine and biology.

[13]  H Shirato,et al.  Use of an implanted marker and real-time tracking of the marker for the positioning of prostate and bladder cancers. , 2000, International journal of radiation oncology, biology, physics.

[14]  Herbert Cattell,et al.  Toward submillimeter accuracy in the management of intrafraction motion: the integration of real-time internal position monitoring and multileaf collimator target tracking. , 2009, International journal of radiation oncology, biology, physics.

[15]  J. Jaldén,et al.  On using an adaptive neural network to predict lung tumor motion during respiration for radiotherapy applications. , 2005, Medical physics.

[16]  Klaus Schilling,et al.  Tumor tracking and motion compensation with an adaptive tumor tracking system (ATTS): System description and prototype testing. , 2008, Medical physics.

[17]  Ross T. Whitaker,et al.  GIST: an interactive, GPU-based level set segmentation tool for 3D medical images , 2004, Medical Image Anal..

[18]  Martin J Murphy,et al.  Tracking moving organs in real time. , 2004, Seminars in radiation oncology.

[19]  Warren D D'Souza,et al.  An analysis of the treatment couch and control system dynamics for respiration-induced motion compensation. , 2006, Medical physics.

[20]  S. Webb,et al.  Feasibility of using ultrasound for real-time tracking during radiotherapy. , 2005, Medical physics.

[21]  B G Fallone,et al.  Patient dosimetry for hybrid MRI-radiotherapy systems. , 2008, Medical physics.

[22]  E. Larsen,et al.  A method for incorporating organ motion due to breathing into 3D dose calculations. , 1999, Medical physics.

[23]  Jeffrey A Fessler,et al.  Mean position tracking of respiratory motion. , 2008, Medical physics.

[24]  Bill J Salter,et al.  Image-guidance for stereotactic body radiation therapy. , 2007, Medical dosimetry : official journal of the American Association of Medical Dosimetrists.

[25]  J. Battista,et al.  Limitations of a convolution method for modeling geometric uncertainties in radiation therapy. I. The effect of shift invariance. , 2003, Medical physics.

[26]  Raj Shekhar,et al.  Effect of Ultrasound Probe on Dose Delivery During Real-time Ultrasound-Guided Tumor Tracking , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[27]  D L McShan,et al.  Inclusion of organ deformation in dose calculations. , 2003, Medical physics.

[28]  Cedric X. Yu,et al.  Intensity-modulated arc therapy with dynamic multileaf collimation: an alternative to tomotherapy. , 1995, Physics in medicine and biology.

[29]  Jake Van Dyk,et al.  Limitations of a convolution method for modeling geometric uncertainties in radiation therapy. II. The effect of a finite number of fractions. , 2003, Medical physics.

[30]  Christoph Bert,et al.  Simulations to design an online motion compensation system for scanned particle beams , 2006, Physics in medicine and biology.

[31]  K Cleary,et al.  Quantitative Measurement of CyberKnife Robotic Arm Steering , 2007, Technology in cancer research & treatment.

[32]  M. V. van Herk,et al.  Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy. , 2002, International journal of radiation oncology, biology, physics.

[33]  Jan J W Lagendijk,et al.  MRI/linac integration. , 2008, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[34]  Geometric Accuracy and Latency of an Integrated 4D IMRT Delivery System using Real-time Internal Position Monitoring and Dynamic MLC Tracking , 2008 .

[35]  Lech Papiez,et al.  DMLC leaf-pair optimal control for mobile, deforming target. , 2005, Medical physics.

[36]  P. Keall 4-dimensional computed tomography imaging and treatment planning. , 2004, Seminars in radiation oncology.

[37]  Four-dimensional imaging and treatment planning of moving targets. , 2007, Frontiers of radiation therapy and oncology.

[38]  Uwe Oelfke,et al.  Real-time tracking of tumor motions and deformations along the leaf travel direction with the aid of a synchronized dynamic MLC leaf sequencer , 2007, Physics in medicine and biology.

[39]  Masahiro Hiraoka,et al.  Development of a four-dimensional image-guided radiotherapy system with a gimbaled X-ray head. , 2006, International journal of radiation oncology, biology, physics.

[40]  Steve B Jiang,et al.  Synchronized moving aperture radiation therapy (SMART): average tumour trajectory for lung patients. , 2003, Physics in medicine and biology.

[41]  Christoph Bert,et al.  Target motion tracking with a scanned particle beam. , 2007, Medical physics.

[42]  M T Munley,et al.  Radiation-induced pulmonary toxicity: a dose-volume histogram analysis in 201 patients with lung cancer. , 2001, International journal of radiation oncology, biology, physics.

[43]  A N T J Kotte,et al.  Integrating a MRI scanner with a 6 MV radiotherapy accelerator: dose deposition in a transverse magnetic field. , 2004, Physics in medicine and biology.

[44]  R K Ten Haken,et al.  Estimation of tumor control probability model parameters from 3-D dose distributions of non-small cell lung cancer patients. , 1999, Lung cancer.

[45]  John Wong,et al.  Accuracy of a wireless localization system for radiotherapy. , 2005, International journal of radiation oncology, biology, physics.

[46]  Masahiro Hiraoka,et al.  A technique for noninvasive respiratory gated radiation treatment system based on a real time 3D ultrasound image correlation: a phantom study. , 2004, Medical physics.

[47]  Karl Otto,et al.  Volumetric modulated arc therapy: IMRT in a single gantry arc. , 2007, Medical physics.

[48]  J. Dempsey,et al.  Novel breathing motion model for radiotherapy. , 2005, International journal of radiation oncology, biology, physics.

[49]  Joe Y. Chang,et al.  4D Proton treatment planning strategy for mobile lung tumors. , 2007, International journal of radiation oncology, biology, physics.

[50]  P. Rubin,et al.  Long‐term observations of the patterns of failure in patients with unresectable non‐oat cell carcinoma of the lung treated with definitive radiotherapy report by the radiation therapy oncology group , 1987, Cancer.

[51]  L. Gaspar,et al.  Observation of a dose-control relationship for lung and liver tumors after stereotactic body radiation therapy. , 2009, International journal of radiation oncology, biology, physics.

[52]  B W Raaymakers,et al.  Experimental verification of magnetic field dose effects for the MRI-accelerator , 2007, Physics in medicine and biology.

[53]  Timothy Solberg,et al.  Multi-institutional clinical experience with the Calypso System in localization and continuous, real-time monitoring of the prostate gland during external radiotherapy. , 2007, International journal of radiation oncology, biology, physics.

[54]  Fluoroscopic real-time tumor-tracking radiation treatment (RTRT) can reduce internal margin (IM) and set-up margin (SM) of planning target volume (PTV) for lung tumors , 2000 .

[55]  Radhe Mohan,et al.  Four-dimensional radiotherapy planning for DMLC-based respiratory motion tracking. , 2005, Medical physics.

[56]  Rojano Kashani,et al.  Technical note: a physical phantom for assessment of accuracy of deformable alignment algorithms. , 2007, Medical physics.

[57]  John T. Wei,et al.  Target localization and real-time tracking using the Calypso 4D localization system in patients with localized prostate cancer. , 2006, International journal of radiation oncology, biology, physics.

[58]  Steve B. Jiang,et al.  Estimation of the delivered patient dose in lung IMRT treatment based on deformable registration of 4D-CT data and Monte Carlo simulations , 2006, Physics in medicine and biology.

[59]  J J Battista,et al.  Generation of photon energy deposition kernels using the EGS Monte Carlo code. , 1988, Physics in medicine and biology.

[60]  T. Krieger,et al.  Four-dimensional treatment planning for stereotactic body radiotherapy. , 2007, International journal of radiation oncology, biology, physics.

[61]  N. Choi,et al.  Improved survival of patients with unresectable non‐small‐cell bronchogenic carcinoma by an innovated high‐dose En‐Bloc radiotherapeutic approach , 1981, Cancer.

[62]  R. Mohan,et al.  On the use of EPID-based implanted marker tracking for 4D radiotherapy. , 2004, Medical physics.

[63]  Herbert Cattell,et al.  Geometric accuracy of a real-time target tracking system with dynamic multileaf collimator tracking system. , 2006, International journal of radiation oncology, biology, physics.

[64]  Andrew Jackson,et al.  Dose-volume factors contributing to the incidence of radiation pneumonitis in non-small-cell lung cancer patients treated with three-dimensional conformal radiation therapy. , 2002, International journal of radiation oncology, biology, physics.

[65]  Kari Tanderup,et al.  Acceleration and validation of optical flow based deformable registration for image-guided radiotherapy , 2008, Acta oncologica.

[66]  Steve B. Jiang,et al.  The management of respiratory motion in radiation oncology report of AAPM Task Group 76. , 2006, Medical physics.

[67]  J. Leong,et al.  Implementation of random positioning error in computerised radiation treatment planning systems as a result of fractionation. , 1987, Physics in medicine and biology.

[68]  J. R. Palta,et al.  WE-E-ValA-06: A Real-Time MRI Guided External Beam Radiotherapy Delivery System , 2006 .

[69]  S Webb,et al.  Quantification of the fluence error in the motion-compensated dynamic MLC (DMLC) technique for delivering intensity-modulated radiotherapy (IMRT) , 2006, Physics in medicine and biology.

[70]  R. Mohan,et al.  Motion adaptive x-ray therapy: a feasibility study , 2001, Physics in medicine and biology.

[71]  P Schraube,et al.  Estimation of pneumonitis risk in three-dimensional treatment planning using dose-volume histogram analysis. , 1995, International journal of radiation oncology, biology, physics.

[72]  P J Keall,et al.  A method to predict the effect of organ motion and set-up variations on treatment plans. , 1999, Australasian physical & engineering sciences in medicine.

[73]  4-Dimensional radiotherapy planning , 2003 .

[74]  Shinichi Shimizu,et al.  Real-time tumour-tracking radiotherapy , 1999, The Lancet.

[75]  Marcel van Herk,et al.  Different styles of image-guided radiotherapy. , 2007 .

[76]  Ross T. Whitaker,et al.  A Streaming Narrow-Band Algorithm: Interactive Computation and Visualization of Level Sets , 2004, IEEE Trans. Vis. Comput. Graph..

[77]  Gregory C Sharp,et al.  Integrated radiotherapy imaging system (IRIS): design considerations of tumour tracking with linac gantry-mounted diagnostic x-ray systems with flat-panel detectors. , 2004, Physics in medicine and biology.

[78]  Lech Papiez,et al.  Synchronized delivery of DMLC intensity modulated radiation therapy for stationary and moving targets. , 2005, Medical physics.

[79]  Indrin J Chetty,et al.  A fluence convolution method to account for respiratory motion in three-dimensional dose calculations of the liver: a Monte Carlo study. , 2003, Medical physics.

[80]  Lech Papiez,et al.  Dynamic-MLC leaf control utilizing on-flight intensity calculations: a robust method for real-time IMRT delivery over moving rigid targets. , 2007, Medical physics.

[81]  P. Xia,et al.  Simulated real time image guided intrafraction tracking-delivery for hypofractionated prostate IMRT. , 2008, Medical physics.

[82]  Ross I Berbeco,et al.  A novel method for estimating SBRT delivered dose with beam's-eye-view images. , 2008, Medical Physics (Lancaster).

[83]  S Webb,et al.  Tracking 'differential organ motion' with a 'breathing' multileaf collimator: magnitude of problem assessed using 4D CT data and a motion-compensation strategy. , 2007, Physics in medicine and biology.

[84]  K Cleary,et al.  Feasibility of four-dimensional conformal planning for robotic radiosurgery. , 2005, Medical physics.

[85]  P J Keall,et al.  A fluence-convolution method to calculate radiation therapy dose distributions that incorporate random set-up error. , 2002, Physics in medicine and biology.

[86]  Joakim Jalden,et al.  Adaptive filtering to predict lung tumor motion during free breathing , 2002 .

[87]  Sergey Povzner,et al.  Management of three-dimensional intrafraction motion through real-time DMLC tracking. , 2008, Medical physics.

[88]  Geoffrey G. Zhang,et al.  Elastic image mapping for 4-D dose estimation in thoracic radiotherapy. , 2005, Radiation protection dosimetry.

[89]  Paul J Keall,et al.  Retrospective analysis of artifacts in four-dimensional CT images of 50 abdominal and thoracic radiotherapy patients. , 2008, International journal of radiation oncology, biology, physics.

[90]  Uwe Oelfke,et al.  Linac-integrated 4D cone beam CT: first experimental results , 2006, Physics in medicine and biology.

[91]  Paul Keall,et al.  Real-time DMLC IMRT delivery for mobile and deforming targets. , 2005, Medical physics.

[92]  Steve Webb,et al.  Quantifying the effect of respiratory motion on lung tumour dosimetry with the aid of a breathing phantom with deforming lungs , 2006, Physics in medicine and biology.

[93]  Warren D D'Souza,et al.  Inferential modeling and predictive feedback control in real-time motion compensation using the treatment couch during radiotherapy , 2007, Physics in medicine and biology.

[94]  Gregory C Sharp,et al.  Prediction of respiratory tumour motion for real-time image-guided radiotherapy. , 2004, Physics in medicine and biology.

[95]  Joos V Lebesque,et al.  Comparing different NTCP models that predict the incidence of radiation pneumonitis. Normal tissue complication probability. , 2003, International journal of radiation oncology, biology, physics.

[96]  Paul Keall,et al.  On the accuracy of a moving average algorithm for target tracking during radiation therapy treatment delivery. , 2008, Medical physics.

[97]  Dose Escalation in Radiotherapy of Lung Tumors by Stereotactic Irradiation: Is There a Dose-Response Relationship for Local Tumor Control? , 2005 .

[98]  Gregory C Sharp,et al.  Tumor trailing strategy for intensity-modulated radiation therapy of moving targets. , 2008, Medical physics.

[99]  Jeffrey Bradley,et al.  Toxicity and outcome results of RTOG 9311: a phase I-II dose-escalation study using three-dimensional conformal radiotherapy in patients with inoperable non-small-cell lung carcinoma. , 2005, International journal of radiation oncology, biology, physics.

[100]  H Shirato,et al.  Detection of lung tumor movement in real-time tumor-tracking radiotherapy. , 2001, International journal of radiation oncology, biology, physics.

[101]  Rojano Kashani,et al.  Technical note: a deformable phantom for dynamic modeling in radiation therapy. , 2007, Medical physics.

[102]  H. Shirato,et al.  Four-dimensional treatment planning and fluoroscopic real-time tumor tracking radiotherapy for moving tumor. , 2000, International journal of radiation oncology, biology, physics.

[103]  Achim Schweikard,et al.  Respiration tracking in radiosurgery. , 2004, Medical physics.

[104]  Ross Berbeco,et al.  Automatic marker detection and 3D position reconstruction using cine EPID images for SBRT verification. , 2009, Medical physics.

[105]  Steve B. Jiang,et al.  Temporo-spatial IMRT optimization: concepts, implementation and initial results , 2005, Physics in medicine and biology.

[106]  Jan Seuntjens,et al.  A direct voxel tracking method for four-dimensional Monte Carlo dose calculations in deforming anatomy. , 2006, Medical physics.

[107]  Eike Rietzel,et al.  Four-dimensional proton treatment planning for lung tumors. , 2006, International journal of radiation oncology, biology, physics.

[108]  J A Purdy,et al.  Clinical dose-volume histogram analysis for pneumonitis after 3D treatment for non-small cell lung cancer (NSCLC) , 1999, International journal of radiation oncology, biology, physics.

[109]  S Webb,et al.  IMRT delivery to a moving target by dynamic MLC tracking: delivery for targets moving in two dimensions in the beam's eye view , 2006, Physics in medicine and biology.

[110]  Cedric X. Yu,et al.  Arc-modulated radiation therapy (AMRT): a single-arc form of intensity-modulated arc therapy , 2008, Physics in medicine and biology.

[111]  Indrin J Chetty,et al.  Dose reconstruction in deforming lung anatomy: dose grid size effects and clinical implications. , 2005, Medical physics.

[112]  Ross I Berbeco,et al.  Clinical feasibility of using an EPID in CINE mode for image-guided verification of stereotactic body radiotherapy. , 2007, International journal of radiation oncology, biology, physics.

[113]  Jeffrey D Bradley,et al.  Bronchoscopic implantation of a novel wireless electromagnetic transponder in the canine lung: a feasibility study. , 2008, International journal of radiation oncology, biology, physics.

[114]  P. Keall,et al.  A monoscopic method for real-time tumour tracking using combined occasional x-ray imaging and continuous respiratory monitoring. , 2008, Physics in medicine and biology.

[115]  R Mohan,et al.  Predicting respiratory motion for four-dimensional radiotherapy. , 2004, Medical physics.

[116]  Issam El-Naqa,et al.  Dosimetric correlates for acute esophagitis in patients treated with radiotherapy for lung carcinoma. , 2004, International journal of radiation oncology, biology, physics.

[117]  C. Perez,et al.  Impact of tumor control on survival in carcinoma of the lung treated with irradiation. , 1986, International journal of radiation oncology, biology, physics.

[118]  G C Sharp,et al.  GPU-based streaming architectures for fast cone-beam CT image reconstruction and demons deformable registration , 2007, Physics in medicine and biology.

[119]  IMRT Dosimetric Measurements from a Real-time Internal Position Monitoring System Coupled with a Dynamic Multileaf Collimator Tracking System , 2008 .

[120]  G J Kutcher,et al.  Deep inspiration breath-hold technique for lung tumors: the potential value of target immobilization and reduced lung density in dose escalation. , 1999, International journal of radiation oncology, biology, physics.

[121]  Hiroki Shirato,et al.  Accuracy of tumor motion compensation algorithm from a robotic respiratory tracking system: a simulation study. , 2007, Medical physics.

[122]  M. V. van Herk,et al.  Physical aspects of a real-time tumor-tracking system for gated radiotherapy. , 2000, International journal of radiation oncology, biology, physics.

[123]  P. Keall,et al.  A deliverable four-dimensional intensity-modulated radiation therapy-planning method for dynamic multileaf collimator tumor tracking delivery. , 2008, International journal of radiation oncology, biology, physics.

[124]  Paul Keall,et al.  DMLC motion tracking of moving targets for intensity modulated arc therapy treatment – a feasibility study , 2009, Acta oncologica.