Dosimetric accuracy of a deterministic radiation transport based 192Ir brachytherapy treatment planning system. Part II: Monte Carlo and experimental verification of a multiple source dwell position plan employing a shielded applicator.

PURPOSE The aim of this work is the dosimetric validation of a deterministic radiation transport based treatment planning system (BRACHYVISION v. 8.8, referred to as TPS in the following) for multiple 192Ir source dwell position brachytherapy applications employing a shielded applicator in homogeneous water geometries. METHODS TPS calculations for an irradiation plan employing seven VS2000 192Ir high dose rate (HDR) source dwell positions and a partially shielded applicator (GM11004380) were compared to corresponding Monte Carlo (MC) simulation results, as well as experimental results obtained using the VIP polymer gel-magnetic resonance imaging three-dimensional dosimetry method with a custom made phantom. RESULTS TPS and MC dose distributions were found in agreement which is mainly within +/- 2%. Considerable differences between TPS and MC results (greater than 2%) were observed at points in the penumbra of the shields (i.e., close to the edges of the "shielded" segment of the geometries). These differences were experimentally verified and therefore attributed to the TPS. Apart from these regions, experimental and TPS dose distributions were found in agreement within 2 mm distance to agreement and 5% dose difference criteria. As shown in this work, these results mark a significant improvement relative to dosimetry algorithms that disregard the presence of the shielded applicator since the use of the latter leads to dosimetry errors on the order of 20%-30% at the edge of the "unshielded" segment of the geometry and even 2%-6% at points corresponding to the potential location of the target volume in clinical applications using the applicator (points in the unshielded segment at short distances from the applicator). CONCLUSIONS Results of this work attest the capability of the TPS to accurately account for the scatter conditions and the increased attenuation involved in HDR brachytherapy applications employing multiple source dwell positions and partially shielded applicators.

[1]  G. Glasgow,et al.  Specific gamma-ray constant and exposure rate constant of 192Ir. , 1979, Medical physics.

[2]  K. Zourari,et al.  Dosimetric accuracy of a deterministic radiation transport based 192Ir brachytherapy treatment planning system. Part I: single sources and bounded homogeneous geometries. , 2010, Medical physics.

[3]  M. Oldham,et al.  Polymer gel dosimetry. , 2010, Physics in medicine and biology.

[4]  R. Taylor,et al.  EGSnrc Monte Carlo calculated dosimetry parameters for Ir192 and Yb169 brachytherapy sources. , 2008, Medical physics.

[5]  Firas Mourtada,et al.  Validation of a new grid-based Boltzmann equation solver for dose calculation in radiotherapy with photon beams , 2010, Physics in medicine and biology.

[6]  On the Development of the VIPAR Polymer Gel Dosimeter for Three‐Dimensional Dose Measurements , 2007 .

[7]  C Antypas,et al.  Dosimetric characterization of CyberKnife radiosurgical photon beams using polymer gels. , 2008, Medical physics.

[8]  D. Baltas,et al.  Polymer gel dosimetry for the TG-43 dosimetric characterization of a new 125I interstitial brachytherapy seed , 2006, Physics in medicine and biology.

[9]  D Baltas,et al.  Monte Carlo dosimetry of a new 192Ir pulsed dose rate brachytherapy source. , 2003, Medical physics.

[10]  E Pantelis,et al.  Polymer gel water equivalence and relative energy response with emphasis on low photon energy dosimetry in brachytherapy. , 2004, Physics in medicine and biology.

[11]  J. Williamson,et al.  Update of AAPM Task Group No. 43 Report: A revised AAPM protocol for brachytherapy dose calculations. , 2004 .

[12]  M. Torrens,et al.  Gamma knife output factor measurements using VIP polymer gel dosimetry. , 2009, Medical physics.

[13]  W. Butler,et al.  Supplement to the 2004 update of the AAPM Task Group No. 43 Report. , 2007, Medical physics.

[14]  C. De Wagter,et al.  On the accuracy of monomer/polymer gel dosimetry in the proximity of a high-dose-rate 192Ir source. , 2001, Physics in medicine and biology.

[15]  L. Anderson,et al.  Dosimetry of interstitial brachytherapy sources: Recommendations of the AAPM Radiation Therapy Committee Task Group No. 43 , 1995 .

[16]  J J DeMarco,et al.  CT-based dosimetry calculations for 125I prostate implants. , 1999, International journal of radiation oncology, biology, physics.

[17]  L. Sakelliou,et al.  Dose verification in clinical IMRT prostate incidents. , 2004, International journal of radiation oncology, biology, physics.

[18]  J. Dempsey,et al.  Evaluation of the gamma dose distribution comparison method. , 2003, Medical physics.

[19]  D Baltas,et al.  A monte carlo dosimetry study of vaginal 192Ir brachytherapy applications with a shielded cylindrical applicator set. , 2004, Medical physics.

[20]  Firas Mourtada,et al.  Dosimetric impact of an I192r brachytherapy source cable length modeled using a grid-based Boltzmann transport equation solver. , 2010, Medical physics.

[21]  E. Pantelis,et al.  Characterization of a new polymer gel for radiosurgery dosimetry using Magnetic Resonance Imaging , 2009 .

[22]  D. Baltas,et al.  Dosimetry close to an 192Ir HDR source using N-vinylpyrrolidone based polymer gels and magnetic resonance imaging. , 2001, Medical physics.

[23]  Bill Hendee New web platform for Medical Physics. , 2010, Medical physics.

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

[25]  D Baltas,et al.  3D dose verification in 192Ir HDR prostate monotherapy using polymer gels and MRI. , 2003, Medical physics.

[26]  S. Korreman,et al.  RapidArc treatment verification in 3D using polymer gel dosimetry and Monte Carlo simulation , 2010, Physics in medicine and biology.

[27]  E. Pantelis,et al.  On the use of VIP gel dosimetry in HDR brachytherapy , 2009 .