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Summary
January 2007, Vol. 7, No. 1, Pages 89-103
, DOI 10.1586/14737140.7.1.89
(doi:10.1586/14737140.7.1.89)
Review Review of image-guided radiation therapy David Jaffray, Patrick Kupelian, Toufik Djemil and Roger M Macklis† † Author for correspondence Image-guided radiation therapy represents a new paradigm in the field of high-precision radiation medicine. A synthesis of recent technological advances in medical imaging and conformal radiation therapy, image-guided radiation therapy represents a further expansion in the recent push for maximizing targeting capabilities with high-intensity radiation dose deposition limited to the true target structures, while minimizing radiation dose deposited in collateral normal tissues. By improving this targeting discrimination, the therapeutic ratio may be enhanced significantly. The principle behind image-guided radiation therapy relies heavily on the acquisition of serial image datasets using a variety of medical imaging platforms, including computed tomography, ultrasound and magnetic resonance imaging. These anatomic and volumetric image datasets are now being augmented through the addition of functional imaging. The current interest in positron-emitted tomography represents a good example of this sort of functional information now being correlated with anatomic localization. As the sophistication of imaging datasets grows, the precise 3D and 4D positions of the target and normal structures become of great relevance, leading to a recent exploration of real- or near-real-time positional replanning of the radiation treatment localization coordinates. This ‘adaptive’ radiotherapy explicitly recognizes that both tumors and normal tissues change position in time and space during a multiweek course of treatment, and even within a single treatment fraction. As targets and normal tissues change, the attenuation of radiation beams passing through these structures will also change, thus adding an additional level of imprecision in targeting unless these changes are taken into account. All in all, image-guided radiation therapy can be seen as further progress in the development of minimally invasive highly targeted cytotoxic therapies with the goal of substituting remote technologies for direct contact on the part of an operator or surgeon. Although data demonstrating clear-cut superiority of this new high-tech paradigm compared with more conventional radiation treatment approaches are scant, the emergence of preliminary data from several early studies shows that interest in this field is broad based and robust. As outcomes data accumulate, it is very likely that this field will continue to expand greatly. Although at present most of the work is being performed at major academic centers, the enthusiastic adoption of many of the devices and approaches being developed for this field suggest a rapid penetration into the community and the use of the technology by teams of specialists in the fields of radiation medicine, radiation physics and various branches of surgery. A recent survey of practitioners predicted very widespread adoption within the next 10 years.
Cited byGuang Li, Huchen Xie, Holly Ning, Wei Lu, Daniel Low, Deborah Citrin, Aradhana Kaushal, Leor Zach, Kevin Camphausen, Robert W Miller. (2009) A novel analytical approach to the prediction of respiratory diaphragm motion based on external torso volume change. Physics in Medicine and Biology 54:13, 4113-4130 Online publication date: 7-Aug-2009. CrossRef Guang Li, Naveen C Arora, Huchen Xie, Holly Ning, Wei Lu, Daniel Low, Deborah Citrin, Aradhana Kaushal, Leor Zach, Kevin Camphausen, Robert W Miller. (2009) Quantitative prediction of respiratory tidal volume based on the external torso volume change: a potential volumetric surrogate. Physics in Medicine and Biology 54:7, 1963-1978 Online publication date: 7-May-2009. CrossRef F Foroudi, A Haworth, A Pangehel, J Wong, P Roxby, G Duchesne, S Williams, KH Tai. (2009) Inter-observer variability of clinical target volume delineation for bladder cancer using CT and cone beam CT. Journal of Medical Imaging and Radiation Oncology 53:1, 100-106 Online publication date: 1-Mar-2009. CrossRef George T. Y. Chen, Gregory C. Sharp, Shinichiro Mori. (2009) A review of image-guided radiotherapy. Radiological Physics and Technology 2:1, 1-12 Online publication date: 1-Feb-2009. CrossRef Michela Lecchi, Piero Fossati, Federica Elisei, Roberto Orecchia, Giovanni Lucignani. (2008) Current concepts on imaging in radiotherapy. European Journal of Nuclear Medicine and Molecular Imaging 35:4, 821-837 Online publication date: 1-May-2008. CrossRef Appendices Cited byGuang Li, Huchen Xie, Holly Ning, Wei Lu, Daniel Low, Deborah Citrin, Aradhana Kaushal, Leor Zach, Kevin Camphausen, Robert W Miller. (2009) A novel analytical approach to the prediction of respiratory diaphragm motion based on external torso volume change. Physics in Medicine and Biology 54:13, 4113-4130 Online publication date: 7-Aug-2009. CrossRef Guang Li, Naveen C Arora, Huchen Xie, Holly Ning, Wei Lu, Daniel Low, Deborah Citrin, Aradhana Kaushal, Leor Zach, Kevin Camphausen, Robert W Miller. (2009) Quantitative prediction of respiratory tidal volume based on the external torso volume change: a potential volumetric surrogate. Physics in Medicine and Biology 54:7, 1963-1978 Online publication date: 7-May-2009. CrossRef F Foroudi, A Haworth, A Pangehel, J Wong, P Roxby, G Duchesne, S Williams, KH Tai. (2009) Inter-observer variability of clinical target volume delineation for bladder cancer using CT and cone beam CT. Journal of Medical Imaging and Radiation Oncology 53:1, 100-106 Online publication date: 1-Mar-2009. CrossRef George T. Y. Chen, Gregory C. Sharp, Shinichiro Mori. (2009) A review of image-guided radiotherapy. Radiological Physics and Technology 2:1, 1-12 Online publication date: 1-Feb-2009. CrossRef Michela Lecchi, Piero Fossati, Federica Elisei, Roberto Orecchia, Giovanni Lucignani. (2008) Current concepts on imaging in radiotherapy. European Journal of Nuclear Medicine and Molecular Imaging 35:4, 821-837 Online publication date: 1-May-2008. CrossRef
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