Radiotherapy & Oncology
Volume 94, Issue 1 , Pages 71-75 , January 2010

Quantitative evaluation of cone-beam computed tomography in target volume definition for offline image-guided radiation therapy of prostate cancer

  • Weihu Wang

      Affiliations

    • Department of Radiation Oncology, Peking Union Medical University, Beijing, China
    • ,
  • Qiuwen Wu

      Affiliations

    • Department of Radiation Oncology, William Beaumont Hospital, MI, USA
    • Department of Radiation Oncology, Duke University Medical Center, NC, USA
    • Corresponding Author InformationCorresponding author. Address: Department of Radiation Oncology, Box 3295, Duke University Medical Center, Durham, NC 27710, USA.
    • ,
  • Di Yan

      Affiliations

    • Department of Radiation Oncology, William Beaumont Hospital, MI, USA

Received 15 June 2009 ,Revised 6 October 2009 ,Accepted 12 October 2009.

References 

  1. Katcher J, Kupelian PA, Zippe C, et al. Indications for excluding the seminal vesicles when treating clinically localized prostatic adenocarcinoma with radiotherapy alone. Int J Radiat Oncol Biol Phys. 1997;37:871–876
  2. Kestin L, Goldstein N, Vicini F, et al. Treatment of prostate cancer with radiotherapy: should the entire seminal vesicles be included in the clinical target volume?. Int J Radiat Oncol Biol Phys. 2002;54:686–697
  3. Marks LB, Anscher MS. Radiotherapy for prostate cancer: should the seminal vesicles be considered target?. Int J Radiat Oncol Biol Phys. 1992;24:435–440
  4. Yan D, Lockman D, Brabbins D, et al. An off-line strategy for constructing a patient-specific planning target volume in adaptive treatment process for prostate cancer. Int J Radiat Oncol Biol Phys. 2000;48:289–302
  5. Martinez AA, Yan D, Lockman D, et al. Improvement in dose escalation using the process of adaptive radiotherapy combined with three-dimensional conformal or intensity-modulated beams for prostate cancer. Int J Radiat Oncol Biol Phys. 2001;50:1226–1234
  6. Vargas C, Martinez A, Kestin LL, et al. Dose–volume analysis of predictors for chronic rectal toxicity after treatment of prostate cancer with adaptive image-guided radiotherapy. Int J Radiat Oncol Biol Phys. 2005;62:1297–1308
  7. Brabbins D, Martinez A, Yan D, et al. A dose-escalation trial with the adaptive radiotherapy process as a delivery system in localized prostate cancer: analysis of chronic toxicity. Int J Radiat Oncol Biol Phys. 2005;61:400–408
  8. Jaffray DA, Siewerdsen JH, Wong JW, et al. Flat-panel cone-beam computed tomography for image-guided radiation therapy. Int J Radiat Oncol Biol Phys. 2002;53:1337–1349
  9. Letourneau D, Martinez AA, Lockman D, et al. Assessment of residual error for online cone-beam CT-guided treatment of prostate cancer patients. Int J Radiat Oncol Biol Phys. 2005;62:1239–1246
  10. Nijkamp J, Pos FJ, Nuver TT, et al. Adaptive radiotherapy for prostate cancer using kilovoltage cone-beam computed tomography: first clinical results. Int J Radiat Oncol Biol Phys. 2008;70:75–82
  11. White EA, Brock KK, Jaffray DA, et al. Inter-observer variability of prostate delineation on cone beam computerised tomography images. Clin Oncol. 2009;21:32–38
  12. Fiorino C, Reni M, Bolognesi A, et al. Intra- and inter-observer variability in contouring prostate and seminal vesicles: implications for conformal treatment planning. Radiother Oncol. 1998;47:285–292
  13. Gao Z, Wilkins D, Eapen L, et al. A study of prostate delineation referenced against a gold standard created from the visible human data. Radiother Oncol. 2007;85:239–246

PII: S0167-8140(09)00571-4

doi: 10.1016/j.radonc.2009.10.005

Radiotherapy & Oncology
Volume 94, Issue 1 , Pages 71-75 , January 2010

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