Literature DB >> 14512327

The physical basis of IMRT and inverse planning.

S Webb1.   

Abstract

Intensity-modulated radiation therapy (IMRT) can sculpt the high-dose volume around the site of disease with hitherto unachievable precision. Conformal avoidance of normal tissues goes hand in hand with this. Inhomogeneous dose painting is possible. The technique has become a clinical reality and is likely to be the dominant approach this decade for improving the clinical practice of photon therapy. This Series will explore all aspects of the "IMRT chain". Only 15 years ago just a handful of physicists were working on this subject. IMRT has developed so rapidly that its recent past is also its ancient history. This article will review the history of IMRT with just a glance at precursors. The physical basis of IMRT is then described including an attempt to introduce the concepts of convex and concave dose distributions, ill-conditioning, inverse-problem degeneracy, cost functions and complex solutions all with a minimum of technical jargon or mathematics. The many techniques for inverse planning are described and the review concludes with a look forward to the future of image-guided IMRT (IG-IMRT).

Mesh:

Year:  2003        PMID: 14512327     DOI: 10.1259/bjr/65676879

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


  58 in total

1.  Comparison of total MU and segment areas in VMAT and step-and-shoot IMRT plans.

Authors:  Motohiro Kawashima; Shuichi Ozawa; Akihiro Haga; Akira Sakumi; Chie Kurokawa; Satoru Sugimoto; Kumiko Karasawa; Keiichi Nakagawa; Keisuke Sasai
Journal:  Radiol Phys Technol       Date:  2012-07-01

Review 2.  A review of image-guided radiotherapy.

Authors:  George T Y Chen; Gregory C Sharp; Shinichiro Mori
Journal:  Radiol Phys Technol       Date:  2008-12-16

3.  Impact of prolonged fraction dose-delivery time modeling intensity-modulated radiation therapy on hepatocellular carcinoma cell killing.

Authors:  Xiao-Kang Zheng; Long-Hua Chen; Xiao Yan; Hong-Mei Wang
Journal:  World J Gastroenterol       Date:  2005-03-14       Impact factor: 5.742

Review 4.  Radiotherapy and wound healing.

Authors:  Emma-Louise Dormand; Paul E Banwell; Timothy E E Goodacre
Journal:  Int Wound J       Date:  2005-06       Impact factor: 3.315

5.  Development of a software for quantitative evaluation radiotherapy target and organ-at-risk segmentation comparison.

Authors:  Jayashree Kalpathy-Cramer; Musaddiq Awan; Steven Bedrick; Coen R N Rasch; David I Rosenthal; Clifton D Fuller
Journal:  J Digit Imaging       Date:  2014-02       Impact factor: 4.056

6.  Registration by interactive inverse simulation: application for adaptive radiotherapy.

Authors:  Eulalie Coevoet; Nick Reynaert; Eric Lartigau; Luis Schiappacasse; Jérémie Dequidt; Christian Duriez
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-04-07       Impact factor: 2.924

Review 7.  Complexity metrics for IMRT and VMAT plans: a review of current literature and applications.

Authors:  Sophie Chiavassa; Igor Bessieres; Magali Edouard; Michel Mathot; Alexandra Moignier
Journal:  Br J Radiol       Date:  2019-07-24       Impact factor: 3.039

8.  Modeling the dosimetry of organ-at-risk in head and neck IMRT planning: an intertechnique and interinstitutional study.

Authors:  Jun Lian; Lulin Yuan; Yaorong Ge; Bhishamjit S Chera; David P Yoo; Sha Chang; FangFang Yin; Q Jackie Wu
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

Review 9.  Radiation therapy in the management of pediatric craniopharyngiomas--a review.

Authors:  John A Kalapurakal
Journal:  Childs Nerv Syst       Date:  2005-06-17       Impact factor: 1.475

10.  Radiotherapy of large target volumes in Hodgkin's lymphoma: normal tissue sparing capability of forward IMRT versus conventional techniques.

Authors:  Laura Cella; Raffaele Liuzzi; Mario Magliulo; Manuel Conson; Luigi Camera; Marco Salvatore; Roberto Pacelli
Journal:  Radiat Oncol       Date:  2010-05-11       Impact factor: 3.481

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