Literature DB >> 16475778

Feasibility of four-dimensional conformal planning for robotic radiosurgery.

A Schlaefer1, J Fisseler, S Dieterich, H Shiomi, K Cleary, A Schweikard.   

Abstract

Organ motion can have a severe impact on the dose delivered by radiation therapy, and different procedures have been developed to address its effects. Conventional techniques include breath hold methods and gating. A different approach is the compensation for target motion by moving the treatment beams synchronously. Practical results have been reported for robot based radiosurgery, where a linear accelerator mounted on a robotic arm delivers the dose. However, not all organs move in the same way, which results in a relative motion of the beams with respect to the body and the tissues in the proximity of the tumor. This relative motion can severely effect the dose delivered to critical structures. We propose a method to incorporate motion in the treatment planning for robotic radiosurgery to avoid potential overdosing of organs surrounding the target. The method takes into account the motion of all considered volumes, which is discretized for dose calculations. Similarly, the beam motion is taken into account and the aggregated dose coefficient over all discrete steps is used for planning. We simulated the treatment of a moving target with three different planning methods. First, we computed beam weights based on a 3D planning situation and simulated treatment with organ motion and the beams moving synchronously to the target. Second, beam weights were computed by the 4D planning method incorporating the organ and beam motion and treatment was simulated for beams moving synchronously to the target. Third, the beam weights were determined by the 4D planning method with the beams fixed during planning and simulation. For comparison we also give results for the 3D treatment plan if there was no organ motion and when the plan is delivered by fixed beams in the presence of organ motion. The results indicate that the new 4D method is preferable and can further improve the overall conformality of motion compensated robotic radiosurgery.

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Year:  2005        PMID: 16475778     DOI: 10.1118/1.2122607

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


  6 in total

1.  Exploratory Study of 4D versus 3D Robust Optimization in Intensity Modulated Proton Therapy for Lung Cancer.

Authors:  Wei Liu; Steven E Schild; Joe Y Chang; Zhongxing Liao; Yu-Hui Chang; Zhifei Wen; Jiajian Shen; Joshua B Stoker; Xiaoning Ding; Yanle Hu; Narayan Sahoo; Michael G Herman; Carlos Vargas; Sameer Keole; William Wong; Martin Bues
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-11-10       Impact factor: 7.038

2.  A deliverable four-dimensional intensity-modulated radiation therapy-planning method for dynamic multileaf collimator tumor tracking delivery.

Authors:  Yelin Suh; Elisabeth Weiss; Hualiang Zhong; Mirek Fatyga; Jeffrey V Siebers; Paul J Keall
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-08-01       Impact factor: 7.038

3.  Comparison of 3D and 4D Monte Carlo optimization in robotic tracking stereotactic body radiotherapy of lung cancer.

Authors:  Mark K H Chan; Rene Werner; Miriam Ayadi; Oliver Blanck
Journal:  Strahlenther Onkol       Date:  2014-09-20       Impact factor: 4.033

4.  Treatment Planning Considerations for Robotic Guided Cardiac Radiosurgery for Atrial Fibrillation.

Authors:  Oliver Blanck; Svenja Ipsen; Mark K Chan; Ralf Bauer; Matthias Kerl; Peter Hunold; Volkmar Jacobi; Ralf Bruder; Achim Schweikard; Dirk Rades; Thomas J Vogl; Peter Kleine; Frank Bode; Jürgen Dunst
Journal:  Cureus       Date:  2016-07-20

5.  Potential dosimetric benefits of adaptive tumor tracking over the internal target volume concept for stereotactic body radiation therapy of pancreatic cancer.

Authors:  Konstantina Karava; Stefanie Ehrbar; Oliver Riesterer; Johannes Roesch; Stefan Glatz; Stephan Klöck; Matthias Guckenberger; Stephanie Tanadini-Lang
Journal:  Radiat Oncol       Date:  2017-11-09       Impact factor: 3.481

6.  4D treatment planning for scanned ion beams.

Authors:  Christoph Bert; Eike Rietzel
Journal:  Radiat Oncol       Date:  2007-07-03       Impact factor: 3.481

  6 in total

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