Literature DB >> 28518479

SU-E-T-500: Pencil-Beam versus Monte Carlo Based Dose Calculation for Proton Therapy Patients with Complex Geometries. Clinical Use of the TOPAS Monte Carlo System.

J Schuemann1,2,3, J Shin1,2,3, J Perl1,2,3, C Grassberger1,2,3, J Verburg1,2,3, B Faddegon1,2,3, H Paganetti1,2,3.   

Abstract

PURPOSE: To investigate the necessity of the verification of dose distributions using Monte Carlo (MC) simulations for proton therapy of head and neck patients and other complex patient geometries.
METHODS: TOPAS, a TOol for PArticle Simulations that makes MC simulations easy-to-use for research and clinical use and is layered on top of Geant4, has been used to simulate the treatments of head and neck patients at the Massachusetts General Hospital (MGH). The resulting dose distributions have been compared to pencil beam calculations based on the XiO treatment planning system. Dose difference distributions were used to highlight areas where the two algorithms did not agree. Dose volume histograms are utilized to investigate the overall agreement of the planned doses in target structures.
RESULTS: 21 head and neck patients, both nasopharynx and spinal cord, were investigated. The field complexity ranges from a single field up to 13 fields. For all patients, the dose in the clinical target volume agrees well. Nevertheless, differences in critical structures around the targets have been observed mostly due to range differences between the two algorithms.
CONCLUSIONS: Pencil beam algorithms provide an accurate description of dose in the target volume. However, we conclude that the differences between MC simulations and pencil beam algorithms in regions outside the target for complex geometries, such as present in head and neck patients, support the necessity of routine use of MC simulations for treatment verifications before treatment. TOPAS is aiming to make such routine simulations available to all researchers and clinics. An automated interface utilizing TOPAS to enable such simulations has been developed at MGH and should become routinely used in the near future for patients with complex geometries. NIH/NCI R01 CA140735.
© 2012 American Association of Physicists in Medicine.

Entities:  

Keywords:  Medical treatment planning; Monte Carlo methods; Proton therapy; Researchers

Year:  2012        PMID: 28518479     DOI: 10.1118/1.4735589

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  3 in total

Review 1.  Advanced Proton Beam Dosimetry Part I: review and performance evaluation of dose calculation algorithms.

Authors:  Jatinder Saini; Erik Traneus; Dominic Maes; Rajesh Regmi; Stephen R Bowen; Charles Bloch; Tony Wong
Journal:  Transl Lung Cancer Res       Date:  2018-04

2.  Clinical Monte Carlo versus Pencil Beam Treatment Planning in Nasopharyngeal Patients Receiving IMPT.

Authors:  Balu Krishna Sasidharan; Saif Aljabab; Jatinder Saini; Tony Wong; George Laramore; Jay Liao; Upendra Parvathaneni; Stephen R Bowen
Journal:  Int J Part Ther       Date:  2019-04-18

3.  Advanced proton beam dosimetry part II: Monte Carlo vs. pencil beam-based planning for lung cancer.

Authors:  Dominic Maes; Jatinder Saini; Jing Zeng; Ramesh Rengan; Tony Wong; Stephen R Bowen
Journal:  Transl Lung Cancer Res       Date:  2018-04
  3 in total

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