Monte Carlo verification of IMRT dose distributions from a commercial treatment planning optimization system.

The purpose of this work was to use Monte Carlo simulations to verify the accuracy of the dose distributions from a commercial treatment planning optimization system (Corvus, Nomos Corp., Sewickley, PA) for intensity-modulated radiotherapy (IMRT). A Monte Carlo treatment planning system has been implemented clinically to improve and verify the accuracy of radiotherapy dose calculations. Further modifications to the system were made to compute the dose in a patient for multiple fixed-gantry IMRT fields. The dose distributions in the experimental phantoms and in the patients were calculated and used to verify the optimized treatment plans generated by the Corvus system. The Monte Carlo calculated IMRT dose distributions agreed with the measurements to within 2% of the maximum dose for all the beam energies and field sizes for both the homogeneous and heterogeneous phantoms. The dose distributions predicted by the Corvus system, which employs a finite-size pencil beam (FSPB) algorithm, agreed with the Monte Carlo simulations and measurements to within 4% in a cylindrical water phantom with various hypothetical target shapes. Discrepancies of more than 5% (relative to the prescribed target dose) in the target region and over 20% in the critical structures were found in some IMRT patient calculations. The FSPB algorithm as implemented in the Corvus system is adequate for homogeneous phantoms (such as prostate) but may result in significant under or over-estimation of the dose in some cases involving heterogeneities such as the air-tissue, lung-tissue and tissue-bone interfaces.

[1]  R. Mohan,et al.  Converting absorbed dose to medium to absorbed dose to water for Monte Carlo based photon beam dose calculations. , 2000, Physics in medicine and biology.

[2]  C. Chui,et al.  A patient-specific Monte Carlo dose-calculation method for photon beams. , 1998, Medical physics.

[3]  W Schlegel,et al.  Treatment planning for conformation therapy using a multi-leaf collimator. , 1988, Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al].

[4]  Mageras,et al.  Three-Dimensional Conformal Radiation Therapy at the Memorial Sloan-Kettering Cancer Center. , 1992, Seminars in radiation oncology.

[5]  K. Forster,et al.  Dosimetric verification of a commercial inverse treatment planning system. , 1999, Physics in medicine and biology.

[6]  C. Ma,et al.  Energy- and intensity-modulated electron beams for radiotherapy. , 2000, Physics in medicine and biology.

[7]  S. Webb The Physics of Conformal Radiotherapy: Advances in Technology , 1997 .

[8]  J. Lewis,et al.  A computer-controlled conformal radiotherapy system. II: Sequence processor. , 1995, International journal of radiation oncology, biology, physics.

[9]  S. Webb Optimization by simulated annealing of three-dimensional, conformal treatment planning for radiation fields defined by a multileaf collimator: II. Inclusion of two-dimensional modulation of the x-ray intensity. , 1992, Physics in medicine and biology.

[10]  Anders Brahme Optimal setting of multileaf collimators in stationary beam radiation therapy. , 1988, Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al].

[11]  Aapm A protocol for the determination of absorbed dose from high-energy photon and electron beams. , 1983, Medical physics.

[12]  M. E. Masterson,et al.  Initial clinical experience with computer-controlled conformal radiotherapy using the MM50 microtron , 1993 .

[13]  T LoSasso,et al.  The use of a multi-leaf collimator for conformal radiotherapy of carcinomas of the prostate and nasopharynx. , 1993, International journal of radiation oncology, biology, physics.

[14]  R Mohan,et al.  Three dimensional conformal treatment planning with multileaf collimators. , 1995, International journal of radiation oncology, biology, physics.

[15]  Three-dimensional conformal radiation therapy: what are the costs and benefits? , 2000, Surgical oncology clinics of North America.

[16]  M. E. Masterson,et al.  Initial clinical experience with computer-controlled conformal radiotherapy of the prostate using a 50-MeV medical microtron. , 1994, International Journal of Radiation Oncology, Biology, Physics.

[17]  A R Hounsell,et al.  Monitor chamber backscatter for intensity modulated radiation therapy using multileaf collimators. , 1998, Physics in medicine and biology.

[18]  C. Yu,et al.  A method for implementing dynamic photon beam intensity modulation using independent jaws and a multileaf collimator. , 1995, Physics in medicine and biology.

[19]  D L McShan,et al.  A computer-controlled conformal radiotherapy system. I: Overview. , 1995, International journal of radiation oncology, biology, physics.

[20]  R Mohan,et al.  Conformal radiation treatment of prostate cancer using inversely-planned intensity-modulated photon beams produced with dynamic multileaf collimation. , 1996, International journal of radiation oncology, biology, physics.

[21]  A L Boyer,et al.  Modulated beam conformal therapy for head and neck tumors. , 1997, International journal of radiation oncology, biology, physics.

[22]  F. H. Attix,et al.  5 – Monte Carlo Techniques of Electron and Photon Transport for Radiation Dosimetry , 1990 .

[23]  D. Rogers,et al.  EGS4 code system , 1985 .

[24]  Paul J. Reckwerdt,et al.  Tomotherapy: Optimized planning and delivery of radiation therapy , 1995, Int. J. Imaging Syst. Technol..

[25]  D. Convery,et al.  The generation of intensity-modulated fields for conformal radiotherapy by dynamic collimation , 1992 .

[26]  J. Wong,et al.  On methods of inhomogeneity corrections for photon transport. , 1990, Medical physics.

[27]  T LoSasso,et al.  Dosimetric verification of intensity-modulated fields. , 1996, Medical physics.

[28]  C. Ma,et al.  Monte Carlo calculations of electron beam output factors for a medical linear accelerator. , 1998, Physics in medicine and biology.

[29]  C. Ma,et al.  Clinical implementation of a Monte Carlo treatment planning system. , 1999, Medical physics.

[30]  S. Spirou,et al.  Dose calculation for photon beams with intensity modulation generated by dynamic jaw or multileaf collimations. , 1994, Medical physics.

[31]  R Mohan,et al.  Converting absorbed dose to medium to absorbed dose to water for Monte Carlo based photon beam dose calculations , 2000, Physics in medicine and biology.

[32]  M Oldham,et al.  Intensity-modulated radiotherapy by means of static tomotherapy: a planning and verification study. , 1997, Medical physics.

[33]  Mageras,et al.  Control, Correction, and Modeling of Setup Errors and Organ Motion. , 1995, Seminars in radiation oncology.

[34]  D. Rogers,et al.  Variance-Reduction Techniques , 1988 .

[35]  C M Ma,et al.  Theoretical considerations of monitor unit calculations for intensity modulated beam treatment planning. , 1999, Medical physics.

[36]  C. Ma,et al.  BEAM: a Monte Carlo code to simulate radiotherapy treatment units. , 1995, Medical physics.

[37]  J J DeMarco,et al.  A CT-based Monte Carlo simulation tool for dosimetry planning and analysis. , 1998, Medical physics.

[38]  Chang-ming Ma,et al.  Characterization of computer simulated radiotherapy beams for Monte-Carlo treatment planning , 1998 .

[39]  James M. Galvin,et al.  Initiation of multileaf collimator conformal radiation therapy , 1993 .