Literature DB >> 24896200

Monte Carlo simulations will change the way we treat patients with proton beams today.

H Paganetti1.   

Abstract

Within the past two decades, the evolution of Monte Carlo simulation tools, coupled with our better understanding of physics processes and computer technology has enabled accurate and efficient prediction of particle interactions with tissue. Monte Carlo simulations have now been applied for routine clinical applications. This commentary outlines how simulations have the potential to change clinical practice particularly in proton therapy. Specifically, Monte Carlo simulations will impact treatment outcome analysis, reduce treatment volumes and help understand proton-induced radiation biology.

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Year:  2014        PMID: 24896200      PMCID: PMC4112394          DOI: 10.1259/bjr.20140293

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  8 in total

1.  TOPAS: an innovative proton Monte Carlo platform for research and clinical applications.

Authors:  J Perl; J Shin; J Schumann; B Faddegon; H Paganetti
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

Review 2.  Biological effects of proton radiation: what we know and don't know.

Authors:  Swati Girdhani; Rainer Sachs; Lynn Hlatky
Journal:  Radiat Res       Date:  2013-02-01       Impact factor: 2.841

3.  Linear energy transfer-guided optimization in intensity modulated proton therapy: feasibility study and clinical potential.

Authors:  Drosoula Giantsoudi; Clemens Grassberger; David Craft; Andrzej Niemierko; Alexei Trofimov; Harald Paganetti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-06-19       Impact factor: 7.038

4.  Site-specific range uncertainties caused by dose calculation algorithms for proton therapy.

Authors:  J Schuemann; S Dowdell; C Grassberger; C H Min; H Paganetti
Journal:  Phys Med Biol       Date:  2014-07-03       Impact factor: 3.609

5.  GPU-based fast Monte Carlo dose calculation for proton therapy.

Authors:  Xun Jia; Jan Schümann; Harald Paganetti; Steve B Jiang
Journal:  Phys Med Biol       Date:  2012-11-06       Impact factor: 3.609

6.  Local correlation between monte-carlo dose and radiation-induced fibrosis in lung cancer patients.

Authors:  Gabriela Stroian; Chandra Martens; Luis Souhami; D Louis Collins; Jan Seuntjens
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-03-01       Impact factor: 7.038

Review 7.  Range uncertainties in proton therapy and the role of Monte Carlo simulations.

Authors:  Harald Paganetti
Journal:  Phys Med Biol       Date:  2012-05-09       Impact factor: 3.609

Review 8.  Monte Carlo role in radiobiological modelling of radiotherapy outcomes.

Authors:  Issam El Naqa; Piotr Pater; Jan Seuntjens
Journal:  Phys Med Biol       Date:  2012-05-09       Impact factor: 3.609

  8 in total
  6 in total

Review 1.  Treatment planning for proton therapy: what is needed in the next 10 years?

Authors:  Hakan Nystrom; Maria Fuglsang Jensen; Petra Witt Nystrom
Journal:  Br J Radiol       Date:  2019-08-07       Impact factor: 3.039

Review 2.  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

3.  Assessing the Clinical Impact of Approximations in Analytical Dose Calculations for Proton Therapy.

Authors:  Jan Schuemann; Drosoula Giantsoudi; Clemens Grassberger; Maryam Moteabbed; Chul Hee Min; Harald Paganetti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-04-08       Impact factor: 7.038

4.  Impact of DNA Geometry and Scoring on Monte Carlo Track-Structure Simulations of Initial Radiation-Induced Damage.

Authors:  Alejandro Bertolet; José Ramos-Méndez; Aimee McNamara; Dohyeon Yoo; Samuel Ingram; Nicholas Henthorn; John-William Warmenhoven; Bruce Faddegon; Michael Merchant; Stephen J McMahon; Harald Paganetti; Jan Schuemann
Journal:  Radiat Res       Date:  2022-09-01       Impact factor: 3.372

5.  Improving Proton Dose Calculation Accuracy by Using Deep Learning.

Authors:  Chao Wu; Dan Nguyen; Yixun Xing; Ana Barragan Montero; Jan Schuemann; Haijiao Shang; Yuehu Pu; Steve Jiang
Journal:  Mach Learn Sci Technol       Date:  2021-04-06

6.  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
  6 in total

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