Literature DB >> 19841516

A generalized inverse planning tool for volumetric-modulated arc therapy.

Daliang Cao1, Muhammad K N Afghan, Jinsong Ye, Fan Chen, David M Shepard.   

Abstract

The recent development in linear accelerator control systems, named volumetric-modulated arc therapy (VMAT), has generated significant interest in arc-based intensity-modulated radiation therapy (IMRT). The VMAT delivery technique features simultaneous changes in dose rate, gantry angle and gantry rotation speed as well as multi-leaf collimator (MLC) leaf positions while radiation is on. In this paper, we describe a generalized VMAT planning tool that is designed to take full advantage of the capabilities of the new linac control systems. The algorithm incorporates all of the MLC delivery constraints such as restrictions on MLC leaf interdigitation and the MLC leaf velocity constraints. A key feature of the algorithm is that it is able to plan for both single- and multiple-arc deliveries. Compared to conventional step-and-shoot IMRT plans, our VMAT plans created using this tool can achieve similar or better plan quality with less MU and better delivery efficiency. The accuracy of the obtained VMAT plans is also demonstrated through plan verifications performed on an Elekta Synergy linear accelerator equipped with a conventional MLC of 1 cm leaf width using a PreciseBeam VMAT linac control system.

Entities:  

Mesh:

Year:  2009        PMID: 19841516     DOI: 10.1088/0031-9155/54/21/018

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  8 in total

1.  Comparison of dosimetric variation between prostate IMRT and VMAT due to patient's weight loss: Patient and phantom study.

Authors:  James C L Chow; Runqing Jiang
Journal:  Rep Pract Oncol Radiother       Date:  2013-06-25

2.  A comprehensive formulation for volumetric modulated arc therapy planning.

Authors:  Dan Nguyen; Qihui Lyu; Dan Ruan; Daniel O'Connor; Daniel A Low; Ke Sheng
Journal:  Med Phys       Date:  2016-07       Impact factor: 4.071

3.  A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks.

Authors:  Dan Nguyen; Azar Sadeghnejad Barkousaraie; Gyanendra Bohara; Anjali Balagopal; Rafe McBeth; Mu-Han Lin; Steve Jiang
Journal:  Phys Med Biol       Date:  2021-02-24       Impact factor: 3.609

4.  Solving the volumetric modulated arc therapy (VMAT) problem using a sequential convex programming method.

Authors:  Pınar Dursun; Masoud Zarepisheh; Gourav Jhanwar; Joseph O Deasy
Journal:  Phys Med Biol       Date:  2021-04-14       Impact factor: 4.174

5.  Prostate volumetric-modulated arc therapy: dosimetry and radiobiological model variation between the single-arc and double-arc technique.

Authors:  James C L Chow; Runqing Jiang
Journal:  J Appl Clin Med Phys       Date:  2013-05-06       Impact factor: 2.102

6.  Delivery parameter variations and early clinical outcomes of volumetric modulated arc therapy for 31 prostate cancer patients: an intercomparison of three treatment planning systems.

Authors:  Shinichi Tsutsumi; Masako N Hosono; Daisaku Tatsumi; Yoshitaka Miki; Yutaka Masuoka; Ryo Ogino; Kentaro Ishii; Yasuhiko Shimatani; Yukio Miki
Journal:  ScientificWorldJournal       Date:  2013-01-15

7.  Multidimensional correlation among plan complexity, quality and deliverability parameters for volumetric-modulated arc therapy using canonical correlation analysis.

Authors:  Lanxiao Shen; Shan Chen; Xiaoyang Zhu; Ce Han; Xiaomin Zheng; Zhenxiang Deng; Yongqiang Zhou; Changfei Gong; Congying Xie; Xiance Jin
Journal:  J Radiat Res       Date:  2018-03-01       Impact factor: 2.724

8.  A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning.

Authors:  Dan Nguyen; Troy Long; Xun Jia; Weiguo Lu; Xuejun Gu; Zohaib Iqbal; Steve Jiang
Journal:  Sci Rep       Date:  2019-01-31       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.