Literature DB >> 10196396

Optimized planning using physical objectives and constraints.

T Bortfeld1.   

Abstract

Intensity-modulated radiation therapy (IMRT) allows one to achieve a better conformation of the high-dose region to the prescribed tumor target volume than uniform beam therapy, especially in complex treatment situations. Still, perfect conformation is impossible. Hence the goal of optimized IMRT planning or inverse planning is to find the beam profiles that yield the optimum among the physically achievable treatment plans. The principal physical advantage of IMRT is best exploited if the optimization is driven by physical criteria. This article presents an overview of such physical, yet clinically relevant, criteria along with optimization algorithms that take these criteria into account. Practical computer implementations are described, which allow one to perform the optimization in an interactive manner within a few minutes. The application of these methods to some complex clinical example cases is presented, and the results are compared with uniform beam treatment plans and with biologically optimized plans.

Entities:  

Mesh:

Year:  1999        PMID: 10196396     DOI: 10.1016/s1053-4296(99)80052-6

Source DB:  PubMed          Journal:  Semin Radiat Oncol        ISSN: 1053-4296            Impact factor:   5.934


  26 in total

1.  Robustness of treatment planning for electrochemotherapy of deep-seated tumors.

Authors:  Bor Kos; Anze Zupanic; Tadej Kotnik; Marko Snoj; Gregor Sersa; Damijan Miklavcic
Journal:  J Membr Biol       Date:  2010-07-02       Impact factor: 1.843

2.  Improving IMRT delivery efficiency with reweighted L1-minimization for inverse planning.

Authors:  Hojin Kim; Stephen Becker; Rena Lee; Soonhyouk Lee; Sukyoung Shin; Emmanuel Candès; Lei Xing; Ruijiang Li
Journal:  Med Phys       Date:  2013-07       Impact factor: 4.071

3.  A novel reduced-order prioritized optimization method for radiation therapy treatment planning.

Authors:  Georgios Kalantzis; Aditya Apte
Journal:  IEEE Trans Biomed Eng       Date:  2014-04       Impact factor: 4.538

4.  Four-dimensional inverse treatment planning with inclusion of implanted fiducials in IMRT segmented fields.

Authors:  Yunzhi Ma; Louis Lee; O Keshet; Paul Keall; Lei Xing
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

5.  Inverse planning for IMRT with nonuniform beam profiles using total-variation regularization (TVR).

Authors:  Taeho Kim; Lei Zhu; Tae-Suk Suh; Sarah Geneser; Bowen Meng; Lei Xing
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

Review 6.  Treatment planning optimisation in proton therapy.

Authors:  S E McGowan; N G Burnet; A J Lomax
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

7.  [Development of methods and instruments for radiation therapy. The most important developments from the viewpoint of a physicist].

Authors:  P Kneschaurek; F Nüsslin
Journal:  Strahlenther Onkol       Date:  2012-11       Impact factor: 3.621

8.  Dose optimization with first-order total-variation minimization for dense angularly sampled and sparse intensity modulated radiation therapy (DASSIM-RT).

Authors:  Hojin Kim; Ruijiang Li; Rena Lee; Thomas Goldstein; Stephen Boyd; Emmanuel Candes; Lei Xing
Journal:  Med Phys       Date:  2012-07       Impact factor: 4.071

9.  Case control study to assess the possibility of decrease the risk of osteoradionecrosis in relation to the dose of radiation absorbed by the jaw.

Authors:  Fabrizio Carini; Concetta Bucalo; Vito Saggese; Dario Monai; Gianluca Porcaro
Journal:  Ann Stomatol (Roma)       Date:  2012-11-14

10.  Linear energy transfer incorporated intensity modulated proton therapy optimization.

Authors:  Wenhua Cao; Azin Khabazian; Pablo P Yepes; Gino Lim; Falk Poenisch; David R Grosshans; Radhe Mohan
Journal:  Phys Med Biol       Date:  2017-12-19       Impact factor: 3.609

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.