Robustness quantification methods comparison in volumetric modulated arc therapy to treat head and neck cancer.

BACKGROUND To compare plan robustness of volumetric modulated arc therapy (VMAT) with intensity modulated radiation therapy (IMRT) and to compare the effectiveness of 3 plan robustness quantification methods. METHODS AND MATERIALS The VMAT and IMRT plans were created for 9 head and neck cancer patients. For each plan, 6 new perturbed dose distributions were computed using ±3 mm setup deviations along each of the 3 orientations. Worst-case analysis (WCA), dose-volume histogram (DVH) band (DVHB), and root-mean-square dose-volume histogram (RVH) were used to quantify plan robustness. In WCA, a shaded area in the DVH plot bounded by the DVHs from the lowest and highest dose per voxel was displayed. In DVHB, we displayed the envelope of all DVHs in band graphs of all the 7 dose distributions. The RVH represents the relative volume on the vertical axis and the root-mean-square-dose on the horizontal axis. The width from the first 2 methods at different target DVH indices (such as D95% and D5%) and the area under the RVH curve for the target were used to indicate plan robustness. Results were compared using Wilcoxon signed-rank test. RESULTS The DVHB showed that the width at D95% of IMRT was larger than that of VMAT (unit Gy) (1.59 vs 1.18) and the width at D5% of IMRT was comparable to that of VMAT (0.59 vs 0.54). The WCA showed similar results between IMRT and VMAT plans (D95%: 3.28 vs 3.00; D5%: 1.68 vs 1.95). The RVH showed the area under the RVH curve of IMRT was comparable to that of VMAT (1.13 vs 1.15). No statistical significance was found in plan robustness between IMRT and VMAT. CONCLUSIONS The VMAT is comparable to IMRT in terms of plan robustness. For the 3 quantification methods, WCA and DVHB are DVH parameter-dependent, whereas RVH captures the overall effect of uncertainties.

[1]  M. V. van Herk,et al.  The probability of correct target dosage: dose-population histograms for deriving treatment margins in radiotherapy. , 2000, International journal of radiation oncology, biology, physics.

[2]  Joseph O Deasy,et al.  Predictive treatment management: incorporating a predictive tumor response model into robust prospective treatment planning for non-small cell lung cancer. , 2012, International journal of radiation oncology, biology, physics.

[3]  A J Lomax,et al.  Advantages and limitations of the ‘worst case scenario’ approach in IMPT treatment planning , 2013, Physics in medicine and biology.

[4]  A. Lomax,et al.  Is it necessary to plan with safety margins for actively scanned proton therapy? , 2011, Physics in medicine and biology.

[5]  Radhe Mohan,et al.  Parotid gland dose in intensity-modulated radiotherapy for head and neck cancer: is what you plan what you get? , 2007, International journal of radiation oncology, biology, physics.

[6]  Suresh Senan,et al.  Volumetric intensity-modulated arc therapy vs. conventional IMRT in head-and-neck cancer: a comparative planning and dosimetric study. , 2009, International journal of radiation oncology, biology, physics.

[7]  T. Bortfeld IMRT: a review and preview , 2006, Physics in medicine and biology.

[8]  Anders Forsgren,et al.  Maximizing the probability of satisfying the clinical goals in radiation therapy treatment planning under setup uncertainty. , 2015, Medical physics.

[9]  Arjan Bel,et al.  Adequate margins for random setup uncertainties in head-and-neck IMRT. , 2005, International journal of radiation oncology, biology, physics.

[10]  J. G. Barrachina,et al.  Potential advantages of volumetric arc therapy in head and neck cancer , 2015 .

[11]  Radhe Mohan,et al.  Effectiveness of robust optimization in intensity-modulated proton therapy planning for head and neck cancers. , 2013, Medical physics.

[12]  K. Chao,et al.  Delayed Regional Metastases, Distant Metastases, and Second Primary Malignancies in Squamous Cell Carcinomas of the Larynx and Hypopharynx , 2001, The Laryngoscope.

[13]  Gudrun Goitein,et al.  The clinical potential of intensity modulated proton therapy. , 2004, Zeitschrift fur medizinische Physik.

[14]  Radhe Mohan,et al.  Robust optimization of intensity modulated proton therapy. , 2012, Medical physics.

[15]  M Goitein,et al.  Calculation of the uncertainty in the dose delivered during radiation therapy. , 1985, Medical physics.

[16]  E Weiss,et al.  Coverage optimized planning: probabilistic treatment planning based on dose coverage histogram criteria. , 2010, Medical physics.

[17]  Radhe Mohan,et al.  Multiple regions-of-interest analysis of setup uncertainties for head-and-neck cancer radiotherapy. , 2006, International journal of radiation oncology, biology, physics.

[18]  S. Nill,et al.  Impact of interfractional changes in head and neck cancer patients on the delivered dose in intensity modulated radiotherapy with protons and photons. , 2015, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[19]  U Oelfke,et al.  Simulation and visualization of dose uncertainties due to interfractional organ motion. , 2006, Physics in medicine and biology.

[20]  Thomas Bortfeld,et al.  Evaluation of Dosimetric Gain and Uncertainties in Proton Therapy Delivery with Scanned Pencil Beam in Treatment of Base-of-skull and Spinal Tumors , 2010 .

[21]  Cai Grau,et al.  Five compared with six fractions per week of conventional radiotherapy of squamous-cell carcinoma of head and neck: DAHANCA 6&7 randomised controlled trial , 2003, The Lancet.

[22]  M. Alber,et al.  Robust treatment planning for intensity modulated radiotherapy of prostate cancer based on coverage probabilities. , 2006, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[23]  On the robustness of VMAT-SABR treatment plans against isocentre positioning uncertainties , 2014, Radiation oncology.

[24]  M. Schwarz,et al.  Treatment planning in proton therapy , 2011 .

[25]  Wei Liu,et al.  Preliminary evaluation of multifield and single-field optimization for the treatment planning of spot-scanning proton therapy of head and neck cancer. , 2013, Medical physics.

[26]  Carsten Brink,et al.  Single Arc Volumetric Modulated Arc Therapy of head and neck cancer. , 2010, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[27]  Karl-Axel Johansson,et al.  Systematic set-up errors for IMRT in the head and neck region: effect on dose distribution. , 2003, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[28]  Jeffrey V Siebers,et al.  Effect of patient setup errors on simultaneously integrated boost head and neck IMRT treatment plans. , 2005, International journal of radiation oncology, biology, physics.

[29]  J. Horiot,et al.  Phase 3 randomized trial on larynx preservation comparing sequential vs alternating chemotherapy and radiotherapy. , 2009, Journal of the National Cancer Institute.

[30]  Jacques Bernier,et al.  Postoperative irradiation with or without concomitant chemotherapy for locally advanced head and neck cancer. , 2004, The New England journal of medicine.

[31]  Prakash Chinnaiyan,et al.  The impact of daily setup variations on head-and-neck intensity-modulated radiation therapy. , 2005, International journal of radiation oncology, biology, physics.

[32]  Wei Liu,et al.  Dosimetric benefits of robust treatment planning for intensity modulated proton therapy for base-of-skull cancers. , 2014, Practical radiation oncology.

[33]  Ke Sheng,et al.  Comparison of Elekta VMAT with helical tomotherapy and fixed field IMRT: plan quality, delivery efficiency and accuracy. , 2010, Medical physics.

[34]  J. Siebers,et al.  Coverage-based treatment planning to accommodate delineation uncertainties in prostate cancer treatment. , 2015, Medical physics.

[35]  Y. Nishimura,et al.  Analysis of interfractional set-up errors and intrafractional organ motions during IMRT for head and neck tumors to define an appropriate planning target volume (PTV)- and planning organs at risk volume (PRV)-margins. , 2006, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[36]  R. Weber,et al.  Concurrent chemotherapy and radiotherapy for organ preservation in advanced laryngeal cancer. , 2003, The New England journal of medicine.

[37]  R Mohan,et al.  The effect of setup uncertainty on normal tissue sparing with IMRT for head-and-neck cancer. , 2001, International journal of radiation oncology, biology, physics.

[38]  Marnix G Witte,et al.  Probabilistic objective functions for margin-less IMRT planning , 2013, Physics in medicine and biology.

[39]  Wei Liu,et al.  Impact of respiratory motion on worst-case scenario optimized intensity modulated proton therapy for lung cancers. , 2015, Practical radiation oncology.

[40]  Jeffrey V Siebers,et al.  Coverage-based treatment planning to accommodate deformable organ variations in prostate cancer treatment. , 2014, Medical physics.

[41]  D. Fried,et al.  Patterns of local failure for sinonasal malignancies. , 2013, Practical radiation oncology.