Literature DB >> 26951466

Effect of fluence smoothing on the quality of intensity-modulated radiation treatment plans.

Puzhakkal Niyas1,2,3, Kallikuzhiyil Kochunny Abdullah4, Manthala Padannayil Noufal4,5,6, Thekkedath Sankaran Nair5.   

Abstract

A fluence-smoothing function applied for reducing the complexity of a treatment plan is an optional requirement in the inverse planning optimization algorithm of intensity-modulated radiation therapy (IMRT). In this study, we investigated the consequences of fluence smoothing on the quality of highly complex and inhomogeneous plans in a treatment-planning system, Eclipse™. The smoothing function was applied both in the direction of leaf travel (X) and perpendicular to leaf travel (Y). Twenty IMRT plans from patients with cancer of the nasopharynx and lung were selected and re-optimized with use of various smoothing combinations from X = 0, Y = 0 to X = 100, Y = 100. Total monitor units (MUs), dose-volume histograms, and radiobiological estimates were computed for all plans. The study yielded a significant reduction in the average total MUs from 2079 ± 265.4 to 1107 ± 137.4 (nasopharynx) and from 1556 ± 490.3 to 791 ± 176.8 (lung) while increasing smoothing from X, Y = 0 to X, Y = 100. Both the tumor control and normal tissue complication probabilities were found to vary, but not significantly so. No appreciable differences in doses to the target and most of the organs at risk (OARs) were noticed. The doses measured with the I'MRT MatriXX 2-D system indicated improvements in deliverability of the plans with higher smoothing values. Hence, it can be concluded that increased smoothing reduced the total MUs exceptionally well without any considerable changes in OAR doses. The observed progress in plan deliverability in terms of the gamma index strongly supports the recommendation of smoothing levels up to X = 70 and Y = 60, at least for the nasopharynx and lung.

Entities:  

Keywords:  DVH; EUD; Fluence smoothing; IMRT; Monitor units (MUs)

Mesh:

Year:  2016        PMID: 26951466     DOI: 10.1007/s12194-016-0349-2

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  26 in total

1.  A new smoothing procedure to reduce delivery segments for static MLC-based IMRT planning.

Authors:  Xuepeng Sun; Ping Xia
Journal:  Med Phys       Date:  2004-05       Impact factor: 4.071

Review 2.  Radiation dose-volume effects in the lung.

Authors:  Lawrence B Marks; Soren M Bentzen; Joseph O Deasy; Feng-Ming Spring Kong; Jeffrey D Bradley; Ivan S Vogelius; Issam El Naqa; Jessica L Hubbs; Joos V Lebesque; Robert D Timmerman; Mary K Martel; Andrew Jackson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

3.  The role of radiotherapy in cancer treatment: estimating optimal utilization from a review of evidence-based clinical guidelines.

Authors:  Geoff Delaney; Susannah Jacob; Carolyn Featherstone; Michael Barton
Journal:  Cancer       Date:  2005-09-15       Impact factor: 6.860

4.  Reduction of IMRT beam complexity through the use of beam modulation penalties in the objective function.

Authors:  Martha M Matuszak; Edward W Larsen; Benedick A Fraass
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

5.  Analytical approach to estimate normal tissue complication probability using best fit of normal tissue tolerance doses into the NTCP equation of the linear quadratic model.

Authors:  T S Kehwar
Journal:  J Cancer Res Ther       Date:  2005 Jul-Sep       Impact factor: 1.805

6.  Inverse planning with constraints to generate smoothed intensity-modulated beams.

Authors:  S Webb; D J Convery; P M Evans
Journal:  Phys Med Biol       Date:  1998-10       Impact factor: 3.609

Review 7.  Radiation-induced second cancers: the impact of 3D-CRT and IMRT.

Authors:  Eric J Hall; Cheng-Shie Wuu
Journal:  Int J Radiat Oncol Biol Phys       Date:  2003-05-01       Impact factor: 7.038

Review 8.  EORTC-ROG expert opinion: radiotherapy volume and treatment guidelines for neoadjuvant radiation of adenocarcinomas of the gastroesophageal junction and the stomach.

Authors:  Oscar Matzinger; Erich Gerber; Zvi Bernstein; Philippe Maingon; Karin Haustermans; Jean François Bosset; Akos Gulyban; Philip Poortmans; Laurence Collette; Abraham Kuten
Journal:  Radiother Oncol       Date:  2009-04-15       Impact factor: 6.280

9.  Dose volume histogram analysis and comparison of different radiobiological models using in-house developed software.

Authors:  Arun S Oinam; Lakhwant Singh; Arvind Shukla; Sushmita Ghoshal; Rakesh Kapoor; Suresh C Sharma
Journal:  J Med Phys       Date:  2011-10

10.  Algorithm for correcting optimization convergence errors in Eclipse.

Authors:  Albert S Zacarias; Michael D Mills
Journal:  J Appl Clin Med Phys       Date:  2009-10-14       Impact factor: 2.102

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