Literature DB >> 15551550

Optimizing the planning of intensity-modulated radiotherapy.

S Webb1.   

Abstract

A method of computing optimized intensity-modulated beam profiles has been further developed and used to generate highly conformal radiotherapy dose distributions. The features of these distributions are shown to be strongly dependent on the tuning built into the algorithm. The optimization aims to achieve a specified dose prescription with a posteriori computation of probabilistic biological response. A method has been developed to show the effect of stratifying the intensity-modulated beam profiles into a number of finite intensity increments. It is shown that, provided the number of intensity strata is not too small, highly conformal dose distributions can be achieved with a number of fields (e.g. 7 or 9) which is not excessively large. This number, however, depends on the exact shape of the planning target volume (PTV and its disposition with respect to juxtaposed organs at risk (OARs). These intensity-modulated profiles can therefore be delivered either by apparatus for 'tomotherapy' or by using the multileaf collimator at each gantry orientation to deliver a sequence of fixed fields with different field sizes, constructing the beam profile via finite increments of beam intensity. When the PTV and OARS overlap, due to including a finite margin on the clinical target volume to account for tissue movement, it is shown that the dose delivered to the overlap region provides a limit on what can be achieved with conformal therapy. This problem is encountered, for example, when treating the prostate which lies next to part of the rectum and bladder. Some comment is provided on, but not a solution for, the problem of optimizing field orientation.

Mesh:

Year:  1994        PMID: 15551550     DOI: 10.1088/0031-9155/39/12/007

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


  7 in total

1.  Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration.

Authors:  A Wentzel; P Hanula; T Luciani; B Elgohari; H Elhalawani; G Canahuate; D Vock; C D Fuller; G E Marai
Journal:  IEEE Trans Vis Comput Graph       Date:  2019-08-22       Impact factor: 4.579

2.  A new conformity and dose gradient distance measure for stereotactic radiosurgery of brain metastasis.

Authors:  Young-Bin Cho; Erin S Murphy; Samuel T Chao; John H Suh; Gennady Neyman; Ping Xia
Journal:  J Radiosurg SBRT       Date:  2022

3.  Use of a constrained hierarchical optimization dataset enhances knowledge-based planning as a quality assurance tool for prostate bed irradiation.

Authors:  Yen Hwa Lin; Linda X Hong; Margie A Hunt; Sean L Berry
Journal:  Med Phys       Date:  2018-09-21       Impact factor: 4.071

4.  The Scatter Search Based Algorithm for Beam Angle Optimization in Intensity-Modulated Radiation Therapy.

Authors:  Ali Ghanbarzadeh; Majid Pouladian; Ali Shabestani Monfared; Seied Rabi Mahdavi
Journal:  Comput Math Methods Med       Date:  2018-06-03       Impact factor: 2.238

5.  Therapeutic effects of saireito (chai-ling-tang), a traditional Japanese herbal medicine, on lymphedema caused by radiotherapy: a case series study.

Authors:  Aiko Nagai; Yuta Shibamoto; Keiko Ogawa
Journal:  Evid Based Complement Alternat Med       Date:  2013-06-04       Impact factor: 2.629

6.  Direct machine parameter optimization for intensity modulated radiation therapy (IMRT) of oropharyngeal cancer--a planning study.

Authors:  Barbara Dobler; Oliver Koelbl; Ludwig Bogner; Fabian Pohl
Journal:  J Appl Clin Med Phys       Date:  2009-09-02       Impact factor: 2.102

7.  On the selection of optimization parameters for an inverse treatment planning replacement of a forward planning technique for prostate cancer.

Authors:  Dimitre H Hristov; Belal A Moftah; Colette Charrois; William Parker; Luis Souhami; Ervin B Podgorsak
Journal:  J Appl Clin Med Phys       Date:  2002       Impact factor: 2.102

  7 in total

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