Literature DB >> 17010907

Radiotherapy of mobile tumors.

Steve B Jiang1.   

Abstract

In this overview, we discuss some major issues related to the management of mobile tumors and gating in radiotherapy. For most types of organ motion, there are both interfraction and intrafraction components. For respiratory motion, the magnitudes of these 2 components can be comparable and therefore both should be handled carefully. The motion artifacts in computed tomography (CT) simulation are discussed and the 4-dimensional CT scan technique is recommended for treatment simulation of patients with mobile tumors. There are various methods for handling organ motion in treatment delivery. Caution should be exercised when using patient-specific motion information for treatment planning because motion characteristics may vary from the treatment simulation time to the treatment delivery sessions. Respiratory gating is potentially accurate, easy to implement, and may be widely adopted in clinical practice in the near future, if existing technical problems can be resolved.

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Year:  2006        PMID: 17010907     DOI: 10.1016/j.semradonc.2006.04.007

Source DB:  PubMed          Journal:  Semin Radiat Oncol        ISSN: 1053-4296            Impact factor:   5.934


  31 in total

1.  Real-time tumor motion estimation using respiratory surrogate via memory-based learning.

Authors:  Ruijiang Li; John H Lewis; Ross I Berbeco; Lei Xing
Journal:  Phys Med Biol       Date:  2012-07-06       Impact factor: 3.609

2.  Adaptation and applications of a realistic digital phantom based on patient lung tumor trajectories.

Authors:  Pankaj Mishra; Sara St James; W Paul Segars; Ross I Berbeco; John H Lewis
Journal:  Phys Med Biol       Date:  2012-06-07       Impact factor: 3.609

3.  Computing proton dose to irregularly moving targets.

Authors:  Justin Phillips; Gueorgui Gueorguiev; James A Shackleford; Clemens Grassberger; Stephen Dowdell; Harald Paganetti; Gregory C Sharp
Journal:  Phys Med Biol       Date:  2014-07-16       Impact factor: 3.609

4.  AN ADAPTIVE TRACKING ALGORITHM OF LUNG TUMORS IN FLUOROSCOPY USING ONLINE LEARNED COLLABORATIVE TRACKERS.

Authors:  Baiyang Liu; Lin Yang; Casimir Kulikowski; Jinghao Zhou; Leiguang Gong; David J Foran; Salma J Jabbour; Ning J Yue
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2010-04-01

Review 5.  Challenge and hope in radiotherapy of hepatocellular carcinoma.

Authors:  Jinsil Seong
Journal:  Yonsei Med J       Date:  2009-10-20       Impact factor: 2.759

6.  Robust fluoroscopic tracking of fiducial markers: exploiting the spatial constraints.

Authors:  Rui Li; Gregory Sharp
Journal:  Phys Med Biol       Date:  2013-02-26       Impact factor: 3.609

7.  Design and testing of a simulation framework for dosimetric motion studies integrating an anthropomorphic computational phantom into four-dimensional Monte Carlo.

Authors:  M Riboldi; G T Y Chen; G Baroni; H Paganetti; J Seco
Journal:  Technol Cancer Res Treat       Date:  2008-12

Review 8.  Intensity-modulated radiation therapy for gastrointestinal tumors.

Authors:  Jeffrey J Meyer; Brian G Czito; Christopher G Willett
Journal:  Curr Oncol Rep       Date:  2008-05       Impact factor: 5.075

9.  Evaluation of 3D fluoroscopic image generation from a single planar treatment image on patient data with a modified XCAT phantom.

Authors:  Pankaj Mishra; Ruijiang Li; Sara St James; Raymond H Mak; Christopher L Williams; Yong Yue; Ross I Berbeco; John H Lewis
Journal:  Phys Med Biol       Date:  2013-01-21       Impact factor: 3.609

10.  Planning target volume assessment in lung tumors during 3D conformal radiotherapy by means of an aSi electronic portal imaging device in cine mode.

Authors:  R Caivano; S Clemente; A Fiorentino; C Chiumento; P Pedicini; G Califano; M Cozzolino; V Fusco
Journal:  Clin Transl Oncol       Date:  2013-01-24       Impact factor: 3.405

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