In modern day radiotherapy, the emphasis on reduction on volume exposed to high radiotherapy doses, improving treatment precision as well as reducing radiation-related normal tissue toxicity has increased, and thus there is greater importance given to accurate position verification and correction before delivering radiotherapy. At present, several techniques that accomplish these goals impeccably have been developed, though all of them have their limitations. There is no single method available that eliminates treatment-related uncertainties without considerably adding to the cost. However, delivering “high precision radiotherapy” without periodic image guidance would do more harm than treating large volumes to compensate for setup errors. In the present review, we discuss the concept of image guidance in radiotherapy, the current techniques available, and their expected benefits and pitfalls. 1. Introduction Radiotherapy has always required inputs from imaging for treatment planning as well as execution, when the treatment target is not located on the surface and inspection and visual confirmation are not feasible. Traditional radiotherapy practices incorporate use of anatomic surface landmarks as well as radiologic correlation with two-dimensional imaging in the form of port films or fluoroscopic imaging. Broadly, imaging has two major roles in radiotherapy:(a)Sophisticated imaging techniques such as contrast enhanced computed tomography (CECT) scans, magnetic resonance imaging (MRI), positron emission tomography (PET) scans, and angiography obtain three-dimensional (3D) structural and biologic information which is used to precisely define the target and thus enable precise and accurate treatment planning with shaped beams in isocentric or non-isocentric geometry.(b)“In-room” imaging methods (planar, volumetric, video, or ultrasound-based) obtain periodic information on target position and movement (within the same session or between consecutive sessions), compare it with reference imaging, and give feedback to correct the patient setup and optimize target localization. They also have the potential to provide feedback that may help to adapt subsequent treatment sessions according to tumor response. More specifically, modern day radiotherapy regards the latter application with “in-room” imaging as “image guided radiation therapy” (IGRT). Modern external beam radiotherapy techniques such as intensity modulated radiation therapy (IMRT), volumetric modulated arc therapy (VMAT), stereotactic radiosurgery (SRS), or stereotactic radiotherapy (SRT) have
References
[1]
L. A. Dawson and D. A. Jaffray, “Advances in image-guided radiation therapy,” Journal of Clinical Oncology, vol. 25, no. 8, pp. 938–946, 2007.
[2]
A. W. Beavis, “Image-guided radiation therapy: what is our Utopia?” British Journal of Radiology, vol. 83, no. 987, pp. 191–193, 2010.
[3]
D. A. Jaffray, “Image-guided radiation therapy: from concept to practice,” Seminars in Radiation Oncology, vol. 17, no. 4, pp. 243–244, 2007.
[4]
Q. J. Wu, T. Li, and F.-F. Yin, “Adaptive radiation therapy: technical components and clinical applications,” Cancer Journal, vol. 17, no. 3, pp. 182–189, 2011.
[5]
M. van Herk, “Errors and margins in radiotherapy,” Seminars in Radiation Oncology, vol. 14, no. 1, pp. 52–64, 2004.
[6]
C. Rasch, R. Steenbakkers, and M. van Herk, “Target definition in prostate, head, and neck,” Seminars in Radiation Oncology, vol. 15, no. 3, pp. 136–145, 2005.
[7]
J. C. Stroom and B. J. M. Heijmen, “Geometrical uncertainties, radiotherapy planning margins, and the ICRU-62 report,” Radiotherapy and Oncology, vol. 64, no. 1, pp. 75–83, 2002.
[8]
M. van Herk, P. Remeijer, C. Rasch, and J. V. Lebesque, “The probability of correct target dosage: dose-population histograms for deriving treatment margins in radiotherapy,” International Journal of Radiation Oncology, Biology, Physics, vol. 47, no. 4, pp. 1121–1135, 2000.
[9]
J. C. Stroom, H. C. J. de Boer, H. Huizenga, and A. G. Visser, “Inclusion of geometrical uncertainties in radiotherapy treatment planning by means of coverage probability,” International Journal of Radiation Oncology Biology Physics, vol. 43, no. 4, pp. 905–919, 1999.
[10]
A. Bel, M. van Herk, H. Bartelink, and J. V. Lebesque, “A verification procedure to improve patient set-up accuracy using portal images,” Radiotherapy and Oncology, vol. 29, no. 2, pp. 253–260, 1993.
[11]
H. C. J. de Boer, M. J. H. van Os, P. P. Jansen, and B. J. M. Heijmen, “Application of the No Action Level (NAL) protocol to correct for prostate motion based on electronic portal imaging of implanted markers,” International Journal of Radiation Oncology Biology Physics, vol. 61, no. 4, pp. 969–983, 2005.
[12]
T. Kataria, A. Abhishek, P. Chadha, and J. Nandigam, “Set-up uncertainties: online correction with X-ray volume imaging,” Journal of Cancer Research and Therapeutics, vol. 7, no. 1, pp. 40–46, 2011.
[13]
T. Kataria, D. Gupta, K. Karrthick, et al., “Frame-based radiosurgery: is it relevant in the era of IGRT?” Neurology India, vol. 61, no. 3, pp. 277–281, 2013.
[14]
J. M. Balter and Y. Cao, “Advanced technologies in image-guided radiation therapy,” Seminars in Radiation Oncology, vol. 17, no. 4, pp. 293–297, 2007.
[15]
J. de los Santos, R. Popple, N. Agazaryan et al., “Image guided radiation therapy (IGRT) technologies for radiation therapy localization and delivery,” International Journal of Radiation Oncology Biology Physics, vol. 87, no. 1, pp. 33–45, 2013.
[16]
M. Fuss, B. J. Salter, S. X. Cavanaugh et al., “Daily ultrasound-based image-guided targeting for radiotherapy of upper abdominal malignancies,” International Journal of Radiation Oncology Biology Physics, vol. 59, no. 4, pp. 1245–1256, 2004.
[17]
C. Bert, K. G. Metheany, K. P. Doppke, A. G. Taghian, S. N. Powell, and G. T. Y. Chen, “Clinical experience with a 3D surface patient setup system for alignment of partial-breast irradiation patients,” International Journal of Radiation Oncology, Biology, Physics, vol. 64, no. 4, pp. 1265–1274, 2006.
[18]
A. Brahme, P. Nyman, and B. Skatt, “4D laser camera for accurate patient positioning, collision avoidance, image fusion and adaptive approaches during diagnostic and therapeutic procedures,” Medical Physics, vol. 35, no. 5, pp. 1670–1681, 2008.
[19]
D. W. Litzenberg, T. R. Willoughby, J. M. Balter et al., “Positional stability of electromagnetic transponders used for prostate localization and continuous, real-time tracking,” International Journal of Radiation Oncology Biology Physics, vol. 68, no. 4, pp. 1199–1206, 2007.
[20]
T. R. Willoughby, P. A. Kupelian, J. Pouliot et al., “Target localization and real-time tracking using the Calypso 4D localization system in patients with localized prostate cancer,” International Journal of Radiation Oncology Biology Physics, vol. 65, no. 2, pp. 528–534, 2006.
[21]
J. Dempsey, B. Dionne, J. Fitzsimmons, A. Haghigat, and J. Li, “A real-time MRI guided external beam radiotherapy delivery system,” Medical Physics, vol. 33, article 2254, 2006.
[22]
B. G. Fallone, B. Murray, S. Rathee et al., “First MR images obtained during megavoltage photon irradiation from a prototype integrated linac-MR system,” Medical Physics, vol. 36, no. 6, pp. 2084–2088, 2009.
[23]
M. G. Herman, “Clinical use of electronic portal imaging,” Seminars in Radiation Oncology, vol. 15, no. 3, pp. 157–167, 2005.
[24]
C. W. Hurkmans, P. Remeijer, J. V. Lebesque, and B. J. Mijnheer, “Set-up verification using portal imaging; review of current clinical practice,” Radiotherapy and Oncology, vol. 58, no. 2, pp. 105–120, 2001.
[25]
C. Walter, J. Boda-Heggemann, H. Wertz, et al., “Phantom and in-vivo measurements of dose exposure by image-guided radiotherapy (IGRT): MV portal images vs. kV portal images vs. cone-beam CT,” Radiotherapy and Oncology, vol. 85, no. 3, pp. 418–423, 2007.
[26]
D. A. Jaffray, “Kilovoltage volumetric imaging in the treatment room,” Frontiers of Radiation Therapy and Oncology, vol. 40, pp. 116–131, 2007.
[27]
C. A. McBain, A. M. Henry, J. Sykes, et al., “X-ray volumetric imaging in image-guided radiotherapy: the new standard in on-treatment imaging,” International Journal of Radiation Oncology, Biology, Physics, vol. 64, no. 2, pp. 625–634, 2006.
[28]
O. Morin, A. Gillis, J. Chen et al., “Megavoltage cone-beam CT: system description and clinical applications,” Medical Dosimetry, vol. 31, no. 1, pp. 51–61, 2006.
[29]
J. Pouliot, A. Bani-Hashemi, M. Svatos et al., “Low-dose megavoltage cone-beam CT for radiation therapy,” International Journal of Radiation Oncology Biology Physics, vol. 61, no. 2, pp. 552–560, 2005.
[30]
R. de Crevoisier, D. Kuban, and D. Lefkopoulos, “Image-guided radiotherapy by in-room CT-linear accelerator combination,” Cancer/Radiotherapie, vol. 10, no. 5, pp. 245–251, 2006.
[31]
K. J. Ruchala, G. H. Olivera, E. A. Schloesser, and T. R. Mackie, “Megavoltage CT on a tomotherapy system,” Physics in Medicine and Biology, vol. 44, no. 10, pp. 2597–2621, 1999.
[32]
J. R. Adler Jr., S. D. Chang, M. J. Murphy, J. Doty, P. Geis, and S. L. Hancock, “The Cyberknife: a frameless robotic system for radiosurgery,” Stereotactic and Functional Neurosurgery, vol. 69, no. 1–4, pp. 124–128, 1997.
[33]
C. Antypas and E. Pantelis, “Performance evaluation of a CyberKnife G4 image-guided robotic stereotactic radiosurgery system,” Physics in Medicine and Biology, vol. 53, no. 17, pp. 4697–4718, 2008.
[34]
H. Shirato, S. Shimizu, K. Kitamura, et al., “Four-dimensional treatment planning and fluoroscopic real-time tumor tracking radiotherapy for moving tumor,” International Journal of Radiation Oncology, Biology, Physics, vol. 48, no. 2, pp. 435–442, 2000.
[35]
H. Shirato, S. Shimizu, T. Kunieda et al., “Physical aspects of a real-time tumor-tracking system for gated radiotherapy,” International Journal of Radiation Oncology Biology Physics, vol. 48, no. 4, pp. 1187–1195, 2000.
[36]
Y. Kamino, K. Takayama, M. Kokubo, et al., “Development of a four-dimensional image-guided radiotherapy system with a gimbaled X-ray head,” International Journal of Radiation Oncology, Biology, Physics, vol. 66, no. 1, pp. 271–278, 2006.
[37]
Z. Chang, Z. Wang, Q. J. Wu et al., “Dosimetric characteristics of Novalis Tx system with high definition multileaf collimator,” Medical Physics, vol. 35, no. 10, pp. 4460–4463, 2008.
[38]
J.-Y. Jin, F.-F. Yin, S. E. Tenn, P. M. Medin, and T. D. Solberg, “Use of the BrainLAB ExacTrac X-Ray 6D System in Image-Guided Radiotherapy,” Medical Dosimetry, vol. 33, no. 2, pp. 124–134, 2008.
[39]
L. Potters, L. E. Gaspar, B. Kavanagh, et al., “American Society for Therapeutic Radiology and Oncology (ASTRO) and American College of Radiology (ACR) practice guidelines for image-guided radiation therapy (IGRT),” International Journal of Radiation Oncology, Biology, Physics, vol. 76, no. 2, pp. 319–325, 2010.
[40]
S. Korreman, C. Rasch, H. McNair, et al., “The European Society of Therapeutic Radiology and Oncology-European Institute of Radiotherapy (ESTRO-EIR) report on 3D CT-based in-room image guidance systems: a practical and technical review and guide,” Radiotherapy and Oncology, vol. 94, no. 2, pp. 129–144, 2010.
[41]
E. White and G. Kane, “Radiation medicine practice in the image-guided radiation therapy era: new roles and new opportunities,” Seminars in Radiation Oncology, vol. 17, no. 4, pp. 298–305, 2007.
[42]
E. Rusten, J. Rodal, ?. S. Bruland, and E. Malinen, “Biologic targets identified from dynamic 18FDG-PET and implications for image-guided therapy,” Acta Oncologica, vol. 52, no. 7, pp. 1378–1383, 2013.