Literature DB >> 24674003

Stereotactic radiosurgery-radiotherapy: Should Monte Carlo treatment planning be used for all sites?

Ellen E Wilcox1, George M Daskalov2, Holly Lincoln2.   

Abstract

PURPOSE: To evaluate a Monte Carlo (MC) treatment planning system for CyberKnife treatments of cranial and extracranial lesions and determine whether it is necessary for all treatment sites. Dose distributions are compared to those calculated with a ray-tracing algorithm. Maximum doses and dose-volume histograms for the target and selected critical structures are analyzed. METHODS AND MATERIALS: The CyberKnife is used for stereotactic radiosurgery-radiotherapy of intracranial lesions (91) as well as stereotactic body radiotherapy for lesions in the spine (24), lung (58), and pelvis (36). The Multiplan system is an inverse treatment planning system which uses an effective path length (EPL) algorithm (sometimes referred to as ray-trace) for dose calculations. In addition, an MC algorithm became clinically available in late 2007.
RESULTS: The maximum doses calculated by the EPL to targets in the lung were uniformly larger than the doses calculated by MC by up to a factor of 1.32. In addition, large differences in target and critical organs' dose coverage were observed. In general, more beams traversing larger distances through low density lung are associated with larger differences. For other sites such as brain and pelvis targets the differences in maximum doses and tumor coverage were generally less than 5% between the 2 calculation methods.
CONCLUSIONS: The MC algorithm should be consistently used for treatment plans of lung lesions and lesions near large air cavities, but the faster EPL algorithm is adequate for treatment sites with less tissue heterogeneity.
Copyright © 2011 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2011        PMID: 24674003     DOI: 10.1016/j.prro.2011.03.001

Source DB:  PubMed          Journal:  Pract Radiat Oncol        ISSN: 1879-8500


  6 in total

1.  An Evaluation of Robotic and Conventional IMRT for Prostate Cancer: Potential for Dose Escalation.

Authors:  Dilini S Pinnaduwage; Martina Descovich; Michael W Lometti; Badri Varad; Mack Roach; Alexander R Gottschalk
Journal:  Technol Cancer Res Treat       Date:  2016-03-31

2.  Comparison of Ray Tracing and Monte Carlo Calculation Algorithms for Spine Lesions Treated With CyberKnife.

Authors:  Jun Li; Xile Zhang; Yuxi Pan; Hongqing Zhuang; Ruijie Yang
Journal:  Front Oncol       Date:  2022-05-04       Impact factor: 5.738

3.  Effectiveness of the Monte Carlo method in stereotactic radiation therapy applied to quasi-homogenous brain tumors.

Authors:  Ki Mun Kang; Bae Kwon Jeong; Hoon Sik Choi; Jin Ho Song; Byung-Do Park; Young Kyung Lim; Hojin Jeong
Journal:  Oncotarget       Date:  2016-03-15

4.  An Approach in Radiation Therapy Treatment Planning: A Fast, GPU-Based Monte Carlo Method.

Authors:  Mojtaba Karbalaee; Daryoush Shahbazi-Gahrouei; Mohammad B Tavakoli
Journal:  J Med Signals Sens       Date:  2017 Apr-Jun

5.  Comparing the clinical outcomes in stereotactic body radiotherapy for lung tumors between Ray-Tracing and Monte-Carlo algorithms.

Authors:  Jin Ho Song; Ki Mun Kang; Hoon-Sik Choi; Hojin Jeong; In Bong Ha; Jong Deog Lee; Ho Cheol Kim; Yi Yeong Jeong; Yu Ji Cho; Seung Jun Lee; Sung Hwan Kim; In-Seok Jang; Bae Kwon Jeong
Journal:  Oncotarget       Date:  2016-04-05

6.  Target dose conversion modeling from pencil beam (PB) to Monte Carlo (MC) for lung SBRT.

Authors:  Dandan Zheng; Xiaofeng Zhu; Qinghui Zhang; Xiaoying Liang; Weining Zhen; Chi Lin; Vivek Verma; Shuo Wang; Andrew Wahl; Yu Lei; Sumin Zhou; Chi Zhang
Journal:  Radiat Oncol       Date:  2016-06-17       Impact factor: 3.481

  6 in total

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