On Voxel-by-voxel Accumulated Dose for Prostate Radiation Therapy using Deformable Image Registration

Since delivered dose is rarely the same with planned, we calculated the delivered total dose to ten prostate radiotherapy patients treated with rectal balloons using deformable dose accumulation (DDA) and compared it with the planned dose. The patients were treated with TomoTherapy using two rectal balloon designs: five patients had the Radiadyne balloon (balloon A), and five patients had the EZ-EM balloon (balloon B). Prostate and rectal wall contours were outlined on each pre-treatment MVCT for all patients. Delivered fractional doses were calculated using the MVCT taken immediately prior to delivery. Dose grids were accumulated to the last MVCT using DDA tools in Pinnacle3 TM (v9.100, Philips Radiation Oncology Systems, Fitchburg, USA). Delivered total doses were compared with planned doses using prostate and rectal wall DVHs. The rectal NTCP was calculated based on total delivered and planned doses for all patients using the Lyman model. For 8/10 patients, the rectal wall NTCP calculated using the delivered total dose was less than planned, with seven patients showing a decrease of more than 5% in NTCP. For 2/10 patients studied, the rectal wall NTCP calculated using total delivered dose was 2% higher than planned. This study indicates that for patients receiving hypofractionated radiotherapy for prostate cancer with a rectal balloon, total delivered doses to prostate is similar with planned while delivered dose to rectal walls may be significantly different from planned doses. 8/10 patients show significant correlation between rectal balloon anterior-posterior positions and some VD values.

[1]  J. Lyman Complication probability as assessed from dose-volume histograms. , 1985, Radiation research. Supplement.

[2]  Indrin J Chetty,et al.  Dose reconstruction in deforming lung anatomy: dose grid size effects and clinical implications. , 2005, Medical physics.

[3]  J. Deasy,et al.  Radiation dose-volume effects in radiation-induced rectal injury. , 2010, International journal of radiation oncology, biology, physics.

[4]  Cai Grau,et al.  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 , 2010, Acta oncologica.

[5]  Jeffrey V Siebers,et al.  A method to estimate the effect of deformable image registration uncertainties on daily dose mapping. , 2012, Medical physics.

[6]  Matthias Guckenberger,et al.  A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy , 2012, Radiation oncology.

[7]  Hualiang Zhong,et al.  Monte Carlo dose mapping on deforming anatomy , 2009, Physics in medicine and biology.

[8]  Tom Vercauteren,et al.  Diffeomorphic demons: Efficient non-parametric image registration , 2009, NeuroImage.

[9]  G H Olivera,et al.  The use of megavoltage CT (MVCT) images for dose recomputations , 2005, Physics in medicine and biology.

[10]  Lei Dong,et al.  Late rectal toxicity on RTOG 94-06: analysis using a mixture Lyman model. , 2010, International journal of radiation oncology, biology, physics.

[11]  Quan Chen,et al.  Objective assessment of deformable image registration in radiotherapy: a multi-institution study. , 2007, Medical physics.

[12]  Lei Xing,et al.  Evaluation of on-board kV cone beam CT (CBCT)-based dose calculation , 2007, Physics in medicine and biology.

[13]  P. Greer,et al.  Does the planning dose-volume histogram represent treatment doses in image-guided prostate radiation therapy? Assessment with cone-beam computerised tomography scans. , 2011, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[14]  L. Muren,et al.  Rectum motion and morbidity prediction: Improving correlation between late morbidity and DVH parameters through use of rectum planning organ at risk volumes , 2010, Acta oncologica.

[15]  J. Fowler,et al.  On cold spots in tumor subvolumes. , 2002, Medical physics.

[16]  Maria Thor,et al.  Deformable image registration for contour propagation from CT to cone-beam CT scans in radiotherapy of prostate cancer , 2011, Acta oncologica.

[17]  Jan Seuntjens,et al.  A direct voxel tracking method for four-dimensional Monte Carlo dose calculations in deforming anatomy. , 2006, Medical physics.

[18]  W. Tomé,et al.  On the dosimetric effect and reduction of inverse consistency and transitivity errors in deformable image registration for dose accumulation. , 2011, Medical physics.

[19]  Colin G Orton,et al.  Point/counterpoint: it is not appropriate to "deform" dose along with deformable image registration in adaptive radiotherapy. , 2012, Medical physics.

[20]  Joos V Lebesque,et al.  Rectal bleeding, fecal incontinence, and high stool frequency after conformal radiotherapy for prostate cancer: normal tissue complication probability modeling. , 2006, International journal of radiation oncology, biology, physics.

[21]  Qiuwen Wu,et al.  Application of dose compensation in image-guided radiotherapy of prostate cancer , 2006, Physics in medicine and biology.

[22]  Bhudatt R Paliwal,et al.  The effect and stability of MVCT images on adaptive TomoTherapy , 2010, Journal of applied clinical medical physics.

[23]  J. Petera,et al.  Utilization of cone-beam CT for offline evaluation of target volume coverage during prostate image-guided radiotherapy based on bony anatomy alignment. , 2012, Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology.

[24]  E. Horwitz,et al.  Rectal dose variation during the course of image-guided radiation therapy of prostate cancer. , 2010, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[25]  Karsten O. Noe,et al.  Bladder dose accumulation based on a biomechanical deformable image registration algorithm in volumetric modulated arc therapy for prostate cancer , 2012, Physics in medicine and biology.

[26]  K. Brock,et al.  Accurate accumulation of dose for improved understanding of radiation effects in normal tissue. , 2010, International Journal of Radiation Oncology, Biology, Physics.

[27]  Wolfgang A Tomé,et al.  Helical tomotherapy: image guidance and adaptive dose guidance. , 2007, Frontiers of radiation therapy and oncology.

[28]  J. Lyman Complication Probability as Assessed from Dose-Volume Histograms , 1985 .

[29]  K. Brock Results of a multi-institution deformable registration accuracy study (MIDRAS). , 2010, International journal of radiation oncology, biology, physics.

[30]  Patrick A Kupelian,et al.  Daily variations in delivered doses in patients treated with radiotherapy for localized prostate cancer. , 2006, International journal of radiation oncology, biology, physics.

[31]  Y. Kvinnsland,et al.  Testing the new ICRU 62 'Planning Organ at Risk Volume' concept for the rectum. , 2005, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[32]  William Y Song,et al.  Evaluation of image-guided radiation therapy (IGRT) technologies and their impact on the outcomes of hypofractionated prostate cancer treatments: a radiobiologic analysis. , 2006, International journal of radiation oncology, biology, physics.

[33]  Wolfgang A Tomé,et al.  The utilization of consistency metrics for error analysis in deformable image registration , 2009, Physics in medicine and biology.