Consequences of introducing geometric GTV to CTV margin expansion in DAHANCA contouring guidelines for head and neck radiotherapy.

BACKGROUND AND PURPOSE Defining margins around the Gross Tumour Volume (GTV) to create a Clinical Target Volume (CTV) for head and neck cancer radiotherapy has traditionally been based on presumed knowledge of anatomical routes of spread. However, using a concentric geometric expansion around the GTV may be more reproducible. The purpose of this study was to analyse the inter-observer consistency of geometric CTV delineation with adaptation for anatomical boundaries versus anatomically defined CTVs. MATERIAL AND METHODS Radiation oncologists at four Danish cancer centres delineated high, intermediate and elective dose CTVs (CTV1, CTV2 and CTV3, respectively) in a patient-case template (stage IV squamous cell carcinoma of the oropharynx), first using mainly anatomical margins (original standard) and then using concentric geometric expansion (new standard). Each centre made a dummy-run radiotherapy plan based on the delineated CTVs. The difference between the CTV contours and the radiotherapy plans was evaluated across the centres. RESULTS Anatomy-based contours were significantly more heterogenous and showed larger volume differences between centres than geometric margins. Dice similarity coefficient increased by 0.29 and mean surface distance decreased by 4mm for CTV1. Use of consistent CTV volumes resulted in more consistent irradiated volumes between centres. CONCLUSION Introduction of geometric margins resulted in more uniform CTV1 and CTV2 delineation. Geometric CTV expansion was easier, left less room for misinterpretation, and resulted in more uniform treatment plans with similar irradiated high and intermediate dose volumes across all centres.

[1]  P. Levendag,et al.  Proposal for the delineation of the nodal CTV in the node-positive and the post-operative neck. , 2006, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[2]  Lei Dong,et al.  Reduce in variation and improve efficiency of target volume delineation by a computer-assisted system using a deformable image registration approach. , 2007, International journal of radiation oncology, biology, physics.

[3]  Quynh-Thu Le,et al.  Delineation of the neck node levels for head and neck tumors: a 2013 update. DAHANCA, EORTC, HKNPCSG, NCIC CTG, NCRI, RTOG, TROG consensus guidelines. , 2014, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[4]  L. Holloway,et al.  Uncertainties in volume delineation in radiation oncology: A systematic review and recommendations for future studies. , 2016, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[5]  N. Blumstein,et al.  Quantitative analysis of extracapsular extension of metastatic lymph nodes and its significance in radiotherapy planning in head and neck squamous cell carcinoma. , 2010, International journal of radiation oncology, biology, physics.

[6]  Michael G Jameson,et al.  A review of interventions to reduce inter‐observer variability in volume delineation in radiation oncology , 2016, Journal of medical imaging and radiation oncology.

[7]  K. Ang,et al.  CT-based delineation of lymph node levels and related CTVs in the node-negative neck: DAHANCA, EORTC, GORTEC, NCIC,RTOG consensus guidelines. , 2003, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[8]  C. Hansen,et al.  Comparison of three immobilisation systems for radiation therapy in head and neck cancer , 2014, Acta oncologica.

[9]  Dean F. Sittig,et al.  Prospective randomized double-blind study of atlas-based organ-at-risk autosegmentation-assisted radiation planning in head and neck cancer. , 2014, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[10]  T. Sørensen,et al.  A method of establishing group of equal amplitude in plant sociobiology based on similarity of species content and its application to analyses of the vegetation on Danish commons , 1948 .

[11]  L. R. Dice Measures of the Amount of Ecologic Association Between Species , 1945 .

[12]  Cai Grau,et al.  Quality assurance of radiation therapy for head and neck cancer patients treated in DAHANCA 10 randomized trial , 2015, Acta oncologica.

[13]  Y. Mao,et al.  Recommendation for a contouring method and atlas of organs at risk in nasopharyngeal carcinoma patients receiving intensity-modulated radiotherapy. , 2014, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[14]  V Grégoire,et al.  Selection and delineation of lymph node target volumes in head and neck conformal radiotherapy. Proposal for standardizing terminology and procedure based on the surgical experience. , 2000, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[15]  Dan Wang,et al.  Evaluation of microscopic disease in oral tongue cancer using whole-mount histopathologic techniques: implications for the management of head-and-neck cancers. , 2012, International journal of radiation oncology, biology, physics.

[16]  A. Hartley,et al.  Variation in volume definition between UK head and neck oncologists treating oropharyngeal carcinoma. , 2011, Clinical oncology (Royal College of Radiologists (Great Britain)).

[17]  Marcel van Herk,et al.  Target definition in prostate, head, and neck. , 2005, Seminars in radiation oncology.

[18]  I. Olivotto,et al.  Peer Review of Radiotherapy Planning: Quantifying Outcomes and a Proposal for Prospective Data Collection. , 2016, Clinical oncology (Royal College of Radiologists (Great Britain)).

[19]  A. Garden,et al.  Determining optimal clinical target volume margins in head-and-neck cancer based on microscopic extracapsular extension of metastatic neck nodes. , 2006, International journal of radiation oncology, biology, physics.

[20]  Carsten Brink,et al.  Automatic planning of head and neck treatment plans , 2016, Journal of applied clinical medical physics.

[21]  Carsten Brink,et al.  Automatic treatment planning improves the clinical quality of head and neck cancer treatment plans , 2016, Clinical and translational radiation oncology.

[22]  M. Dobelbower,et al.  Margin on gross tumor volume and risk of local recurrence in head-and-neck cancer. , 2010, International journal of radiation oncology, biology, physics.

[23]  W. Tomé,et al.  Variations in the contouring of organs at risk: test case from a patient with oropharyngeal cancer. , 2012, International journal of radiation oncology, biology, physics.

[24]  Steven J Frank,et al.  Prospective Qualitative and Quantitative Analysis of Real-Time Peer Review Quality Assurance Rounds Incorporating Direct Physical Examination for Head and Neck Cancer Radiation Therapy. , 2017, International journal of radiation oncology, biology, physics.

[25]  Wolfgang A Tomé,et al.  Heterogeneity in head and neck IMRT target design and clinical practice. , 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[26]  Contouring and dose calculation in head and neck cancer radiotherapy after reduction of metal artifacts in CT images , 2017, Acta oncologica.