Literature DB >> 22047348

On the role of the optimization algorithm of RapidArc(®) volumetric modulated arc therapy on plan quality and efficiency.

Eugenio Vanetti1, Giorgia Nicolini, Janne Nord, Jarkko Peltola, Alessandro Clivio, Antonella Fogliata, Luca Cozzi.   

Abstract

PURPOSE: The RapidArc volumetric modulated arc therapy (VMAT) planning process is based on a core engine, the so-called progressive resolution optimizer (PRO). This is the optimization algorithm used to determine the combination of field shapes, segment weights (with dose rate and gantry speed variations), which best approximate the desired dose distribution in the inverse planning problem. A study was performed to assess the behavior of two versions of PRO. These two versions mostly differ in the way continuous variables describing the modulated arc are sampled into discrete control points, in the planning efficiency and in the presence of some new features. The analysis aimed to assess (i) plan quality, (ii) technical delivery aspects, (iii) agreement between delivery and calculations, and (iv) planning efficiency of the two versions.
METHODS: RapidArc plans were generated for four groups of patients (five patients each): anal canal, advanced lung, head and neck, and multiple brain metastases and were designed to test different levels of planning complexity and anatomical features. Plans from optimization with PRO2 (first generation of RapidArc optimizer) were compared against PRO3 (second generation of the algorithm). Additional plans were optimized with PRO3 using new features: the jaw tracking, the intermediate dose and the air cavity correction options.
RESULTS: Results showed that (i) plan quality was generally improved with PRO3 and, although not for all parameters, some of the scored indices showed a macroscopic improvement with PRO3. (ii) PRO3 optimization leads to simpler patterns of the dynamic parameters particularly for dose rate. (iii) No differences were observed between the two algorithms in terms of pretreatment quality assurance measurements and (iv) PRO3 optimization was generally faster, with a time reduction of a factor approximately 3.5 with respect to PRO2.
CONCLUSIONS: These results indicate that PRO3 is either clinically beneficial or neutral in terms of dosimetric quality while it showed significant advantages in speed and technical aspects.

Entities:  

Mesh:

Year:  2011        PMID: 22047348     DOI: 10.1118/1.3641866

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  33 in total

1.  Optimization approaches to volumetric modulated arc therapy planning.

Authors:  Jan Unkelbach; Thomas Bortfeld; David Craft; Markus Alber; Mark Bangert; Rasmus Bokrantz; Danny Chen; Ruijiang Li; Lei Xing; Chunhua Men; Simeon Nill; Dávid Papp; Edwin Romeijn; Ehsan Salari
Journal:  Med Phys       Date:  2015-03       Impact factor: 4.071

2.  The effect of MLC speed and acceleration on the plan delivery accuracy of VMAT.

Authors:  J M Park; H-G Wu; J H Kim; J N K Carlson; K Kim
Journal:  Br J Radiol       Date:  2015-03-03       Impact factor: 3.039

3.  Analyzing the performance of ArcCHECK diode array detector for VMAT plan.

Authors:  Rajesh Thiyagarajan; Arunai Nambiraj; Sujit Nath Sinha; Girigesh Yadav; Ashok Kumar; Vikraman Subramani
Journal:  Rep Pract Oncol Radiother       Date:  2015-12-02

4.  Optimization of rotational arc station parameter optimized radiation therapy.

Authors:  P Dong; B Ungun; S Boyd; L Xing
Journal:  Med Phys       Date:  2016-09       Impact factor: 4.071

5.  Dosimetric influence of photon beam energy and number of arcs on volumetric modulated arc therapy in carcinoma cervix: A planning study.

Authors:  Girigesh Yadav; Manindra Bhushan; Abhinav Dewan; Upasna Saxena; Lalit Kumar; Deepika Chauhan; Kothanda Raman; Swarupa Mitra; Mahammood Suhail
Journal:  Rep Pract Oncol Radiother       Date:  2016-10-17

6.  Critical appraisal of volumetric-modulated arc therapy compared with electrons for the radiotherapy of cutaneous Kaposi's sarcoma of lower extremities with bone sparing.

Authors:  G Nicolini; S Abraham; A Fogliata; A Jordaan; A Clivio; E Vanetti; L Cozzi
Journal:  Br J Radiol       Date:  2013-02-07       Impact factor: 3.039

7.  Assessing the Dosimetric Accuracy of Magnetic Resonance-Generated Synthetic CT Images for Focal Brain VMAT Radiation Therapy.

Authors:  Eric Paradis; Yue Cao; Theodore S Lawrence; Christina Tsien; Mary Feng; Karen Vineberg; James M Balter
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-09-04       Impact factor: 7.038

8.  Texture analysis on the edge-enhanced fluence of VMAT.

Authors:  So-Yeon Park; Jong Min Park; Wonmo Sung; Il Han Kim; Sung-Joon Ye
Journal:  Radiat Oncol       Date:  2015-04-01       Impact factor: 3.481

9.  Critical appraisal of the accuracy of Acuros-XB and Anisotropic Analytical Algorithm compared to measurement and calculations with the compass system in the delivery of RapidArc clinical plans.

Authors:  Murugesan Kathirvel; Shanmuga Subramanian; Alessandro Clivio; Gandhi Arun; Antonella Fogliata; Giorgia Nicolini; Vellaiyan Subramani; Shanmugam Thirumalai Swamy; Eugenio Vanetti; Luca Cozzi
Journal:  Radiat Oncol       Date:  2013-06-11       Impact factor: 3.481

10.  A treatment planning study comparing Elekta VMAT and fixed field IMRT using the varian treatment planning system eclipse.

Authors:  Samuel Peters; Hans Schiefer; Ludwig Plasswilm
Journal:  Radiat Oncol       Date:  2014-07-10       Impact factor: 3.481

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