Impact of robust treatment planning on single- and multi-field optimized plans for proton beam therapy of unilateral head and neck target volumes

BackgroundProton beam therapy is promising for the treatment of head and neck cancer (HNC), but it is sensitive to uncertainties in patient positioning and particle range. Studies have shown that the planning target volume (PTV) concept may not be sufficient to ensure robustness of the target coverage. A few planning studies have considered irradiation of unilateral HNC targets with protons, but they have only taken into account the dose on the nominal plan, without considering anatomy changes occurring during the treatment course.MethodsFour pencil beam scanning (PBS) proton therapy plans were calculated for 8 HNC patients with unilateral target volumes: single-field (SFO) and multi-field optimized (MFO) plans, either using the PTV concept or clinical target volume (CTV)-based robust optimization. The dose was recalculated on computed tomography (CT) scans acquired during the treatment course. Doses to target volumes and organs at risk (OARs) were compared for the nominal plans, cumulative doses considering anatomical changes, and additional setup and range errors in each fraction. If required, the treatment plan was adapted, and the dose was compared with the non-adapted plan.ResultsAll nominal plans fulfilled the clinical specifications for target coverage, but significantly higher doses on the ipsilateral parotid gland were found for both SFO approaches. MFO PTV-based plans had the lowest robustness against range and setup errors. During the treatment course, the influence of the anatomical variation on the dose has shown to be patient specific, mostly independent of the chosen planning approach. Nine plans in four patients required adaptation, which led to a significant improvement of the target coverage and a slight reduction in the OAR dose in comparison to the cumulative dose without adaptation.ConclusionsThe use of robust MFO optimization is recommended for ensuring plan robustness and reduced doses in the ipsilateral parotid gland. Anatomical changes occurring during the treatment course might degrade the target coverage and increase the dose in the OARs, independent of the chosen planning approach. For some patients, a plan adaptation may be required.

[1]  Christopher Kurz,et al.  Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images , 2016, Radiation Oncology.

[2]  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.

[3]  S. Marnitz,et al.  Unilateral and bilateral neck SIB for head and neck cancer patients , 2016, Strahlentherapie und Onkologie.

[4]  Christopher Kurz,et al.  Investigating deformable image registration and scatter correction for CBCT-based dose calculation in adaptive IMPT. , 2016, Medical physics.

[5]  Uwe Schneider,et al.  Intensity modulated photon and proton therapy for the treatment of head and neck tumors. , 2006, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[6]  Anders Forsgren,et al.  Minimax optimization for handling range and setup uncertainties in proton therapy. , 2011, Medical physics.

[7]  Wolfgang Enghardt,et al.  Clinical Implementation of Dual-energy CT for Proton Treatment Planning on Pseudo-monoenergetic CT scans. , 2017, International journal of radiation oncology, biology, physics.

[8]  Danny Lathouwers,et al.  Robustness Recipes for Minimax Robust Optimization in Intensity Modulated Proton Therapy for Oropharyngeal Cancer Patients. , 2016, International journal of radiation oncology, biology, physics.

[9]  C. Xie,et al.  Integral dose in three-dimensional conformal radiotherapy, intensity-modulated radiotherapy and helical tomotherapy. , 2009, Clinical oncology (Royal College of Radiologists (Great Britain)).

[10]  Max Dahele,et al.  Comparison of organ-at-risk sparing and plan robustness for spot-scanning proton therapy and volumetric modulated arc photon therapy in head-and-neck cancer. , 2015, Medical physics.

[11]  Steffen Löck,et al.  Identification of Patient Benefit From Proton Therapy for Advanced Head and Neck Cancer Patients Based on Individual and Subgroup Normal Tissue Complication Probability Analysis. , 2015, International journal of radiation oncology, biology, physics.

[12]  Steven J Frank,et al.  Spot-scanning beam proton therapy vs intensity-modulated radiation therapy for ipsilateral head and neck malignancies: a treatment planning comparison. , 2013, Medical dosimetry : official journal of the American Association of Medical Dosimetrists.

[13]  Avraham Eisbruch,et al.  Radiation dose-volume effects in the larynx and pharynx. , 2010, International journal of radiation oncology, biology, physics.

[14]  B. Dobler,et al.  Treatment of left sided breast cancer for a patient with funnel chest: volumetric-modulated arc therapy vs. 3D-CRT and intensity-modulated radiotherapy. , 2013, Medical dosimetry : official journal of the American Association of Medical Dosimetrists.

[15]  G. Lockwood,et al.  Cone-beam CT assessment of interfraction and intrafraction setup error of two head-and-neck cancer thermoplastic masks. , 2010, International journal of radiation oncology, biology, physics.

[16]  M. Stock,et al.  ART for head and neck patients: On the difference between VMAT and IMPT , 2015, Acta oncologica.

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

[18]  Jan-Jakob Sonke,et al.  Setup uncertainties of anatomical sub-regions in head-and-neck cancer patients after offline CBCT guidance. , 2009, International journal of radiation oncology, biology, physics.

[19]  Thomas Bortfeld,et al.  Reducing the sensitivity of IMPT treatment plans to setup errors and range uncertainties via probabilistic treatment planning. , 2008, Medical physics.

[20]  A Fogliata,et al.  A treatment planning comparison of 3D conformal therapy, intensity modulated photon therapy and proton therapy for treatment of advanced head and neck tumours. , 2001, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[21]  Mechthild Krause,et al.  Radiation oncology in the era of precision medicine , 2016, Nature Reviews Cancer.

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

[23]  Heng Li,et al.  Selective robust optimization: A new intensity-modulated proton therapy optimization strategy. , 2015, Medical physics.

[24]  Johannes A Langendijk,et al.  Potential benefits of scanned intensity-modulated proton therapy versus advanced photon therapy with regard to sparing of the salivary glands in oropharyngeal cancer. , 2011, International journal of radiation oncology, biology, physics.

[25]  Shikui Tang,et al.  Proton beam radiation therapy results in significantly reduced toxicity compared with intensity-modulated radiation therapy for head and neck tumors that require ipsilateral radiation. , 2016, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[26]  Harald Paganetti,et al.  Proton therapy physics , 2011 .

[27]  Erik W. Korevaar,et al.  Robust Intensity Modulated Proton Therapy (IMPT) Increases Estimated Clinical Benefit in Head and Neck Cancer Patients , 2016, PloS one.

[28]  A. Lomax,et al.  Effect of Anatomic Changes on Pencil Beam Scanned Proton Dose Distributions for Cranial and Extracranial Tumors. , 2017, International journal of radiation oncology, biology, physics.

[29]  Joseph O Deasy,et al.  Radiotherapy dose-volume effects on salivary gland function. , 2010, International journal of radiation oncology, biology, physics.

[30]  Liyong Lin,et al.  First Clinical Investigation of Cone Beam Computed Tomography and Deformable Registration for Adaptive Proton Therapy for Lung Cancer. , 2016, International journal of radiation oncology, biology, physics.

[31]  Stina Svensson,et al.  The ANACONDA algorithm for deformable image registration in radiotherapy. , 2014, Medical physics.

[32]  Steven J Frank,et al.  PTV-based IMPT optimization incorporating planning risk volumes vs robust optimization. , 2013, Medical physics.

[33]  Hanne M Kooy,et al.  Dose uncertainties in IMPT for oropharyngeal cancer in the presence of anatomical, range, and setup errors. , 2013, International journal of radiation oncology, biology, physics.

[34]  Thomas Bortfeld,et al.  Visualization of a variety of possible dosimetric outcomes in radiation therapy using dose-volume histogram bands. , 2012, Practical radiation oncology.