Radiotherapy & Oncology
Volume 95, Issue 2 , Pages 166-171 , May 2010

Inter-observer and intra-observer reliability for lung cancer target volume delineation in the 4D-CT era

  • Alexander V. Louie

      Affiliations

    • Department of Radiation Oncology, London Regional Cancer Program, Ont., Canada
    • ,
  • George Rodrigues

      Affiliations

    • Department of Radiation Oncology, London Regional Cancer Program, Ont., Canada
    • Department of Epidemiology and Biostatistics, University of Western Ontario, London, Ont., Canada
    • Corresponding Author InformationCorresponding author. Address: Department of Radiation Oncology, London Regional Cancer Program, 790 Commissioners Road East, London, Ont., Canada N6A 4L6.
    • ,
  • Jason Olsthoorn

      Affiliations

    • Department of Mathematics, University of Waterloo, Ont., Canada
    • ,
  • David Palma

      Affiliations

    • Radiation Oncology Program, British Columbia Cancer Agency, Vancouver, BC, Canada
    • ,
  • Edward Yu

      Affiliations

    • Department of Radiation Oncology, London Regional Cancer Program, Ont., Canada
    • ,
  • Brian Yaremko

      Affiliations

    • Department of Radiation Oncology, London Regional Cancer Program, Ont., Canada
    • ,
  • Belal Ahmad

      Affiliations

    • Department of Radiation Oncology, London Regional Cancer Program, Ont., Canada
    • ,
  • Inge Aivas

      Affiliations

    • Department of Radiation Oncology, London Regional Cancer Program, Ont., Canada
    • ,
  • Stewart Gaede

      Affiliations

    • Department of Radiation Oncology, London Regional Cancer Program, Ont., Canada
    • Department of Medical Biophysics, University of Western Ontario, London, Ont., Canada

Received 26 October 2009 ,Revised 4 December 2009 ,Accepted 27 December 2009.

References 

  1. Caldwell CB, Mah K, Skinner M, Danjoux CE. Can PET provide the 3D extent of tumour motion for individualized internal target volumes? A phantom study of the limitations of CT and the promise of PET. Int J Radiat Oncol Biol Phys. 2003;55:1381–1393
  2. Seppenwoolde Y, Shirato H, Kitamura K, et al. Precise real-time measurement of 3D tumour motion in lung due to breathing and heartbeat, measured during radiotherapy. Int J Radiat Oncol Biol Phys. 2002;53:822–834
  3. Kong FM, Ten Haken RK, Schipper MJ, et al. High-dose radiation improved local tumour control and overall survival in patients with inoperable/unresectable non-small-cell lung cancer: long-term results of a radiation dose escalation study. Int J Radiat Oncol Biol Phys. 2005;63:324–333
  4. Ford EC, Mageras GS, Yorke E, Ling CC. Respiration-correlated spiral CT: a method of measuring respiratory-induced anatomic motion for radiation treatment planning. Med Phys. 2003;30:88–97
  5. Keall PJ. 4-dimensional computed tomography imaging and treatment planning. Semin Radiat Oncol. 2004;14:81–90
  6. Shirato H, Seppenwoolde Y, Kitamura K, Onimura R, Shimizu S. Intrafractional tumour motion: lung and liver. Semin Radiat Oncol. 2004;14:10–18
  7. Vedam SS, Keall PJ, Kini VR, Mostafavi H, Shukla HP, Mohan R. Acquiring a four-dimensional computed tomography dataset using an external respiratory signal. Phys Med Biol. 2003;48:45–62
  8. Giraud P, Elles S, Helfre S, et al. Conformal radiotherapy for lung cancer: different delineation of the gross tumour volume (GTV) by radiologists and radiation oncologists. Radiother Oncol. 2002;62:27–36
  9. Van de Steene J, Linthout N, de Mey J, et al. Definition of gross tumour volume in lung cancer: inter-observer variability. Radiother Oncol. 2002;62:37–49
  10. Caldwell CB, Mah K, Ung YC, et al. Observer variation in contouring gross tumour volume in patients with poorly defined non-small-cell lung tumours on CT: the impact of 18FDG-hybrid pet fusion. Int J Radiat Oncol Biol Phys. 2001;51:923–931
  11. Steenbakkers RJ, Duppen JC, Fitton I, et al. Reduction of observer variation using matched CT-PET for lung cancer delineation: a three dimensional analysis. Int J Radiat Oncol Biol Phys. 2006;64:435–448
  12. Chang JY, Dong L, Liu H, et al. Image-guided radiation therapy for non-small cell lung cancer. J Thorac Oncol. 2008;3:196–197
  13. Giraud P, Antoine M, Larrouy A, et al. Evaluation of microscopic tumor extension in non-small-cell lung cancer for three-dimensional conformal radiotherapy planning. Int J Radiat Oncol Biol Phys. 2000;48:1015–1024
  14. Hamilton CS, Denham JW, Joseph DJ, et al. Treatment and planning decisions in non-small cell carcinoma of the lung: an Australasian patterns of practice study. Clin Oncol (R Coll Radiol). 1992;4:141–147
  15. Senan S, de Koste J, Samson M, et al. Evaluation of a target contouring protocol for 3D conformal radiotherapy in non-small cell lung cancer. Radiother Oncol. 1999;53:247–255
  16. Fitzpatrick MJ, Starkschall G, Antolak JA, et al. Displacement-based binning of time-dependent computed tomography image data sets. Med Phys. 2006;33:235–246
  17. Yamamoto T, Langner U, Loo BW, Shen J, Keall PJ. Retrospective analysis of artifacts in four-dimensional CT images of 50 abdominal and thoracic radiotherapy patients. Int J Radiat Oncol Biol Phys. 2008;72:1250–1258
  18. George R, Chung TD, Vedam SS, et al. Audio-visual biofeedback for respiratory-gated radiotherapy: impact of audio instruction and audio-visual biofeedback on respiratory-gated radiotherapy. Int J Radiat Oncol Biol Phys. 2006;65:924–933
  19. Venkat RB, Sawant A, Suh Y, George R, Keall PJ. Development and preliminary evaluation of a prototype audiovisual biofeedback device incorporating a patient-specific guiding waveform. Phys Med Biol. 2008;53:N197–N208
  20. Neicu T, Berbeco R, Wolfgang J, Jiang SB. Synchronized moving aperture radiation therapy (SMART): improvement of breathing pattern reproducibility using respiratory coaching. Phys Med Biol. 2006;51:617–636
  21. Breen SL, Publicover J, De Silva S, et al. Intra-observer and inter-observer variability in GTV delineation on FDG-PET-CT images on head and neck cancers. Int J Radiat Oncol Biol Phys. 2007;68:763–770
  22. Patel DA, Chang ST, Goodman KA, et al. Impact of integrated PETCT on variability of target volume delineation in rectal cancer. Technol Cancer Res Treat. 2007;6:31–36
  23. Vesprini D, Ung Y, Dinniwell R, et al. Improving observer variability in target delineation for gastro-oesophageal cancer – the role of (18F)fluoro-2-deoxy-d-glucose positron emission tomography/computed tomography. Clin Oncol (R Coll Radiol). 2008;20:631–638
  24. van Baardwijk A, Bosmans G, Boersma L, et al. PET-CT-based auto-contouring in non-small-cell lung cancer correlates with pathology and reduces inter-observer variability in the delineation of the primary tumour and involved nodal volumes. Int J Radiat Oncol Biol Phys. 2007;68:771–778
  25. MacManus MP, Hicks J, Matthews JP, et al. High rate of detection of unsuspected distant metastases by PET in apparent stage III non-small cell lung cancer: implications for radical radiation therapy. Int J Radiat Oncol Biol Phys. 2001;50:287–293
  26. Faria SL, Menard S, Devic S, et al. Impact of FDG-PET/CT on radiotherapy volume delineation in non-small cell lung cancer and correlation of imaging with pathologic findings. Int J Radiat Oncol Biol Phys. 2008;70:1035–1038
  27. de Koste JR, Senan S, Underburg RW, et al. Use of a CD-ROM-based tool for analyzing contouring variations in involved-field radiotherapy for stage III NSCLC. Int J Radiat Oncol Biol Phys. 2005;63:334–339

PII: S0167-8140(10)00005-8

doi: 10.1016/j.radonc.2009.12.028

Radiotherapy & Oncology
Volume 95, Issue 2 , Pages 166-171 , May 2010

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