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ORIGINAL ARTICLES

The impact of CBCT reconstruction and calibration for radiotherapy planning in the head and neck region – a phantom study

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Pages 1114-1124 | Received 28 Apr 2014, Accepted 19 May 2014, Published online: 30 Jun 2014

References

  • Jaffray DA, Siewerdsen JH, Wong JW, Martinez AA. Flat-panel cone-beam computed tomography for image-guided radiation therapy. Int J Radiat Oncol Biol Phys 2002;53:1337–49.
  • Ahmad R, Bondar L, Voet P, Mens JW, Quint S, Dhawtal G, et al. A margin-of-the-day online adaptive intensity- modulated radiotherapy strategy for cervical cancer provides superior treatment accuracy compared to clinically recommended margins: A dosimetric evaluation. Acta Oncol 2013; 52:1430–6.
  • Gill S, Pham D, Dang K, Bressel M, Kron T, Siva S, et al. Plan of the day selection for online image-guided adaptive post-prostatectomy radiotherapy. Radiother Oncol 2013; 107:165–70.
  • Vestergaard A, Søndergaard J, Petersen JB, Høyer M, Muren LP. A comparison of three different adaptive strategies in image-guided radiotherapy of bladder cancer. Acta Oncol 2010;49:1069–76.
  • Vestergaard A, Muren LP, Sondergaard J, Elstrom UV, Hoyer M, Petersen JB. Adaptive plan selection vs. re-optimisation in radiotherapy for bladder cancer: A dose accumulation comparison. Radiother Oncol 2013;109:457–62.
  • Schmidt ML, Hoffmann L, Kandi M, Moller DS, Poulsen PR. Dosimetric impact of respiratory motion, interfraction baseline shifts, and anatomical changes in radiotherapy of non-small cell lung cancer. Acta Oncol 2013;52:1490–6.
  • Grau C, Hoyer M, Alber M, Overgaard J, Lindegaard JC, Muren LP. Biology-guided adaptive radiotherapy (BiGART)– more than a vision?Acta Oncol 2013;52:1243–7.
  • Meijer GJ, Toorn Pvd, Bal M, Schuring D, Weterings J, Wildt Md. High precision bladder cancer irradiation by integrating a library planning procedure of six prospectively generated SIB IMRT plans with image guidance using lipiodol markers. Radiother Oncol 2012;105:174–9.
  • Tuomikoski L, Korhonen J, Collan J, Keyriläinen J, Visapää H, Sairanen J, et al. Implementation of adaptive radiation therapy for urinary bladder carcinoma: Imaging, planning and image guidance. Acta Oncol 2013;52:1451–7.
  • Schwartz DL, Garden AS, Shah SJ, Chronowski G, Sejpal S, Rosenthal DI, et al. Adaptive radiotherapy for head and neck cancer – Dosimetric results from a prospective clinical trial. Radiother Oncol 2013;106:80–4.
  • Moller DS, Khalil AA, Knap MM, Hoffmann L. Adaptive radiotherapy of lung cancer patients with pleural effusion or atelectasis. Radiother Oncol 2013;110:517–22.
  • Siewerdsen JH, Jaffray DA. Cone-beam computed tomography with a flat-panel imager: Magnitude and effects of x-ray scatter. Med Phys 2001;28:220–31.
  • Battista JJ, Bronskill MJ. Compton scatter imaging of transverse sections: An overall appraisal and evaluation for radiotherapy planning. Phys Med Biol 1981;26:81–99.
  • Mustafa AA, Jackson DF. The relation between X-ray CT numbers and charged particle stopping powers and its significance for radiotherapy treatment planning. Phys Med Biol 1983;28:169–76.
  • Constantinou C, Harrington JC, DeWerd LA. An electron density calibration phantom for CT-based treatment planning computers. Med Phys 1992;19:325–7.
  • Schneider U, Pedroni E, Lomax A. The calibration of CT Hounsfield units for radiotherapy treatment planning. Phys Med Biol 1996;41:111–24.
  • Schaffner B, Pedroni E. The precision of proton range calculations in proton radiotherapy treatment planning: Experimental verification of the relation between CT-HU and proton stopping power. Phys Med Biol 1998;43:1579–92.
  • Schneider W, Bortfeld T, Schlegel W. Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions. Phys Med Biol 2000;45:459–78.
  • Yang Y, Schreibmann E, Li T, Wang C, Xing L. Evaluation of on-board kV cone beam CT (CBCT)-based dose calculation. Phys Med Biol 2007;52:685–705.
  • Verhaegen F, Devic S. Sensitivity study for CT image use in Monte Carlo treatment planning. Phys Med Biol 2005;50: 937–46.
  • Vanderstraeten B, Chin PW, Fix M, Leal A, Mora G, Reynaert N, et al. Conversion of CT numbers into tissue parameters for Monte Carlo dose calculations: A multi- centre study. Phys Med Biol 2007;52:539–62.
  • Hatton J, McCurdy B, Greer PB. Cone beam computerized tomography: The effect of calibration of the Hounsfield unit number to electron density on dose calculation accuracy for adaptive radiation therapy. Phys Med Biol 2009;54: N329–46.
  • Guan H, Dong H. Dose calculation accuracy using cone-beam CT (CBCT) for pelvic adaptive radiotherapy. Phys Med Biol 2009;54:6239–50.
  • Rong Y, Smilowitz J, Tewatia D, Tome WA, Paliwal B. Dose calculation on kV cone beam CT images: An investigation of the Hu-density conversion stability and dose accuracy using the site-specific calibration. Med Dosim 2010;35: 195–207.
  • Richter A, Hu Q, Steglich D, Baier K, Wilbert J, Guckenberger M, et al. Investigation of the usability of conebeam CT data sets for dose calculation. Radiat Oncol 2008;3:42.
  • van Zijtveld M, Dirkx M, Heijmen B. Correction of conebeam CT values using a planning CT for derivation of the “dose of the day”. Radiother Oncol 2007;85:195–200.
  • Fotina I, Hopfgartner J, Stock M, Steininger T, Lütgendorf-Caucig C, Georg D. Feasibility of CBCT-based dose calculation: Comparative analysis of HU adjustment techniques. Radiother Oncol 2012;104:249–56.
  • Elstrøm UV, Wysocka BA, Muren LP, Petersen JBB, Grau C. Daily KV cone-beam CT and deformable image registration as a method for studying dosimetric consequences of anatomic changes in adaptive IMRT of head and neck cancer. Acta Oncol 2010;49:1101–8.
  • Sun M, Star-Lack JM. Improved scatter correction using adaptive scatter kernel superposition. Phys Med Biol 2010; 55:6695–720.
  • Elstrøm UV, Muren LP, Petersen JBB, Grau C. Evaluation of image quality for different kV cone-beam CT acquisition and reconstruction methods for the head and neck region. Acta Oncol 2011;50:908–17.
  • Woodard HQ, White DR. The composition of body tissues. Br J Radiol 1986;59:1209–18.
  • White DR, Woodard HQ, Hammond SM. Average soft-tissue and bone models for use in radiation dosimetry. Br J Radiol 1987;60:907–13.
  • Low DA, Harms WB, Mutic S, Purdy JA. A technique for the quantitative evaluation of dose distributions. Med Phys 1998;25:656–61.
  • Depuydt T, Van Esch A, Huyskens DP. A quantitative evaluation of IMRT dose distributions: Refinement and clinical assessment of the gamma evaluation. Radiother Oncol 2002;62:309–19.
  • Wendling M, Zijp LJ, McDermott LN, Smit EJ, Sonke JJ, Mijnheer BJ, et al. A fast algorithm for gamma evaluation in 3D. Med Phys 2007;34:1647–54.
  • Thor M, Petersen JB, Bentzen L, Hoyer M, Muren LP. Deformable image registration for contour propagation from CT to cone-beam CT scans in radiotherapy of prostate cancer. Acta Oncol 2011;50:918–25.
  • Thörnqvist S, Petersen JB, Høyer M, Bentzen LN, Muren LP. Propagation of target and organ at risk contours in radiotherapy of prostate cancer using deformable image registration. Acta Oncol 2010;49:1023–32.

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