Literature DB >> 16690452

Dynamic targeting image-guided radiotherapy.

Calvin Huntzinger1, Peter Munro, Scott Johnson, Mika Miettinen, Corey Zankowski, Greg Ahlstrom, Reto Glettig, Reto Filliberti, Wolfgang Kaissl, Martin Kamber, Martin Amstutz, Lionel Bouchet, Dan Klebanov, Hassan Mostafavi, Richard Stark.   

Abstract

Volumetric imaging and planning for 3-dimensional (3D) conformal radiotherapy and intensity-modulated radiotherapy (IMRT) have highlighted the need to the oncology community to better understand the geometric uncertainties inherent in the radiotherapy delivery process, including setup error (interfraction) as well as organ motion during treatment (intrafraction). This has ushered in the development of emerging technologies and clinical processes, collectively referred to as image-guided radiotherapy (IGRT). The goal of IGRT is to provide the tools needed to manage both inter- and intrafraction motion to improve the accuracy of treatment delivery. Like IMRT, IGRT is a process involving all steps in the radiotherapy treatment process, including patient immobilization, computed tomography (CT) simulation, treatment planning, plan verification, patient setup verification and correction, delivery, and quality assurance. The technology and capability of the Dynamic Targeting IGRT system developed by Varian Medical Systems is presented. The core of this system is a Clinac or Trilogy accelerator equipped with a gantry-mounted imaging system known as the On-Board Imager (OBI). This includes a kilovoltage (kV) x-ray source, an amorphous silicon kV digital image detector, and 2 robotic arms that independently position the kV source and imager orthogonal to the treatment beam. A similar robotic arm positions the PortalVision megavoltage (MV) portal digital image detector, allowing both to be used in concert. The system is designed to support a variety of imaging modalities. The following applications and how they fit in the overall clinical process are described: kV and MV planar radiographic imaging for patient repositioning, kV volumetric cone beam CT imaging for patient repositioning, and kV planar fluoroscopic imaging for gating verification. Achieving image-guided motion management throughout the radiation oncology process requires not just a single product, but a suite of integrated products to manipulate all patient data, including images, efficiently and effectively.

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Year:  2006        PMID: 16690452     DOI: 10.1016/j.meddos.2005.12.014

Source DB:  PubMed          Journal:  Med Dosim        ISSN: 1873-4022            Impact factor:   1.482


  14 in total

1.  Development of a QA phantom and automated analysis tool for geometric quality assurance of on-board MV and kV x-ray imaging systems.

Authors:  Weihua Mao; Louis Lee; Lei Xing
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

2.  Simulation system for understanding the lag effect in fluoroscopic images.

Authors:  Rie Tanaka; Hiroki Kawashima; Katsuhiro Ichikawa; Kosuke Matsubara; Hiroji Iida; Shigeru Sanada
Journal:  Radiol Phys Technol       Date:  2012-12-29

3.  Investigation of image lag and modulation transfer function in fluoroscopy images obtained with a dynamic flat-panel detector.

Authors:  Hiroki Kawashima; Rie Tanaka; Katsuhiro Ichikawa; Kosuke Matsubara; Hiroji Iida; Shigeru Sanada
Journal:  Radiol Phys Technol       Date:  2013-04-09

Review 4.  Optimizing tumor immune response through combination of radiation and immunotherapy.

Authors:  Alissar El Chediak; Ali Shamseddine; Larry Bodgi; Jean-Pierre Obeid; Fady Geara; Youssef H Zeidan
Journal:  Med Oncol       Date:  2017-08-21       Impact factor: 3.064

Review 5.  Image-guided radiotherapy: a new dimension in radiation oncology.

Authors:  Florian Sterzing; Rita Engenhart-Cabillic; Michael Flentje; Jürgen Debus
Journal:  Dtsch Arztebl Int       Date:  2011-04-22       Impact factor: 5.594

6.  Daily patient setup error in prostate image guided radiation therapy with fiducial-based kilovoltage onboard imaging and conebeam computed tomography.

Authors:  Jason C Ye; Muhammad M Qureshi; Pauline Clancy; Lauren N Dise; John Willins; Ariel E Hirsch
Journal:  Quant Imaging Med Surg       Date:  2015-10

7.  A survey of image-guided radiation therapy use in the United States.

Authors:  Daniel R Simpson; Joshua D Lawson; Sameer K Nath; Brent S Rose; Arno J Mundt; Loren K Mell
Journal:  Cancer       Date:  2010-08-15       Impact factor: 6.860

Review 8.  Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians.

Authors:  William A Hall; Eric Paulson; X Allen Li; Beth Erickson; Christopher Schultz; Alison Tree; Musaddiq Awan; Daniel A Low; Brigid A McDonald; Travis Salzillo; Carri K Glide-Hurst; Amar U Kishan; Clifton D Fuller
Journal:  CA Cancer J Clin       Date:  2021-11-18       Impact factor: 508.702

9.  Simulation approach for the evaluation of tracking accuracy in radiotherapy: a preliminary study.

Authors:  Rie Tanaka; Katsuhiro Ichikawa; Shinichiro Mori; Sigeru Sanada
Journal:  J Radiat Res       Date:  2012-07-22       Impact factor: 2.724

10.  Dose perturbations from implanted helical gold markers in proton therapy of prostate cancer.

Authors:  Annelise Giebeler; Jonas Fontenot; Peter Balter; George Ciangaru; Ronald Zhu; Wayne Newhauser
Journal:  J Appl Clin Med Phys       Date:  2009-01-27       Impact factor: 2.102

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