Literature DB >> 25652486

Feasibility of a unified approach to intensity-modulated radiation therapy and volume-modulated arc therapy optimization and delivery.

Douglas A Hoover1, Michael MacFarlane2, Eugene Wong3, Jerry J Battista4, Jeff Z Chen1.   

Abstract

PURPOSE: To study the feasibility of unified intensity-modulated arc therapy (UIMAT) which combines intensity-modulated radiotherapy (IMRT) and volumetric-modulated arc therapy (VMAT) optimization and delivery to produce superior radiation treatment plans, both in terms of dose distribution and efficiency of beam delivery when compared with either VMAT or IMRT alone.
METHODS: An inverse planning algorithm for UIMAT was prototyped within the pinnacle treatment planning system (Philips Healthcare). The IMRT and VMAT deliveries are unified within the same arc, with IMRT being delivered at specific gantry angles within the arc. Optimized gantry angles for the IMRT and VMAT phases are assigned automatically by the inverse optimization algorithm. Optimization of the IMRT and VMAT phases is done simultaneously using a direct aperture optimization algorithm. Five treatment plans each for prostate, head and neck, and lung were generated using a unified optimization technique and compared with clinical IMRT or VMAT plans. Delivery verification was performed with an ArcCheck phantom (Sun Nuclear) on a Varian TrueBeam linear accelerator (Varian Medical Systems).
RESULTS: In this prototype implementation, the UIMAT plans offered the same target dose coverage while reducing mean doses to organs at risk by 8.4% for head-and-neck cases, 5.7% for lung cases, and 3.5% for prostate cases, compared with the VMAT or IMRT plans. In addition, UIMAT can be delivered with similar efficiency as VMAT.
CONCLUSIONS: In this proof-of-concept work, a novel radiation therapy optimization and delivery technique that interlaces VMAT or IMRT delivery within the same arc has been demonstrated. Initial results show that unified VMAT/IMRT has the potential to be superior to either standard IMRT or VMAT.

Mesh:

Year:  2015        PMID: 25652486     DOI: 10.1118/1.4905373

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


  3 in total

1.  Use of proximal operator graph solver for radiation therapy inverse treatment planning.

Authors:  Xinmin Liu; Charles Pelizzari; Andrew H Belcher; Zachary Grelewicz; Rodney D Wiersma
Journal:  Med Phys       Date:  2017-04       Impact factor: 4.071

2.  Application programming in C# environment with recorded user software interactions and its application in autopilot of VMAT/IMRT treatment planning.

Authors:  Henry Wang; Lei Xing
Journal:  J Appl Clin Med Phys       Date:  2016-11-08       Impact factor: 2.102

3.  An IMRT/VMAT Technique for Nonsmall Cell Lung Cancer.

Authors:  Nan Zhao; Ruijie Yang; Junjie Wang; Xile Zhang; Jinna Li
Journal:  Biomed Res Int       Date:  2015-10-11       Impact factor: 3.411

  3 in total

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