International Journal of Radiation Oncology * Biology * Physics
Volume 64, Issue 4 , Pages 1237-1244, 15 March 2006

A technique for adaptive image-guided helical tomotherapy for lung cancer

  • Chester R. Ramsey, Ph.D.

      Affiliations

    • Department of Radiation Oncology, Thompson Cancer Survival Center, Knoxville, TN
    • Corresponding Author InformationReprint requests to: Chester R. Ramsey, Ph.D., Department of Radiation Oncology, Thompson Cancer Survival Center, 1915 White Ave., Knoxville, TN 37916. Tel: (865) 541-3161; Fax: (865) 541-1801;
  • ,
  • Katja M. Langen, Ph.D.

      Affiliations

    • Department of Radiation Oncology, M. D. Anderson Cancer Center Orlando, Orlando, FL
  • ,
  • Patrick A. Kupelian, M.D.

      Affiliations

    • Department of Radiation Oncology, M. D. Anderson Cancer Center Orlando, Orlando, FL
  • ,
  • Daniel D. Scaperoth, M.D.

      Affiliations

    • Department of Radiation Oncology, Thompson Cancer Survival Center, Knoxville, TN
  • ,
  • Sanford L. Meeks, Ph.D.

      Affiliations

    • Department of Radiation Oncology, M. D. Anderson Cancer Center Orlando, Orlando, FL
  • ,
  • Stephen L. Mahan, Ph.D.

      Affiliations

    • Department of Radiation Oncology, Thompson Cancer Survival Center, Knoxville, TN
  • ,
  • Rebecca M. Seibert, M.S.

      Affiliations

    • Department of Radiation Oncology, Thompson Cancer Survival Center, Knoxville, TN

Received 20 April 2005; received in revised form 3 November 2005; accepted 4 November 2005. published online 31 January 2006.

Purpose: The gross tumor volume (GTV) for many lung cancer patients can decrease during the course of radiation therapy. As the tumor reduces in size during treatment, the margin added around the GTV effectively becomes larger, which can result in the excessive irradiation of normal lung tissue. The specific goal of this study is to evaluate the feasibility of using image-guided adaptive radiation therapy to adjust the planning target volume weekly based on the previous week’s CT image sets that were used for image-guided patient setup.

Methods and Materials: Megavoltage computed tomography (MVCT) images of the GTV were acquired daily on a helical tomotherapy system. These images were used to position the patient and to measure reduction in GTV volume. A planning study was conducted to determine the amount of lung-sparing that could have been achieved if adaptive therapy had been used. Treatment plans were created in which the target volumes were reduced after tumor reduction was measured.

Results: A total of 158 MVCT imaging sessions were performed on 7 lung patients. The GTV was reduced by 60–80% during the course of treatment. The tumor reduction in the first 60 days of treatment can be modeled using the second-order polynomial R = 0.0002t2 − 0.0219t + 1.0, where R is the percent reduction in GTV, and t is the number of elapsed days. Based on these treatment planning studies, the absolute volume of ipsilateral lung receiving 20 Gy can be reduced between 17% and 23% (21% mean) by adapting the treatment delivery. The benefits of adaptive therapy are the greatest for tumor volumes ≥25 cm3 and are directly dependent on GTV reduction during treatment.

Conclusions: Megavoltage CT-based image guidance can be used to position lung cancer patients daily. This has the potential to decrease margins associated with daily setup error. Furthermore, the adaptive therapy technique described in this article can decrease the volume of healthy lung tissue receiving above 20 Gy. However, further study is needed to determine whether adaptive therapy could result in the underdosing of microscopic extension.

Keywords:  Lung , Image-guided radiation therapy , Helical tomotherapy , Adaptive therapy

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PII: S0360-3016(05)02947-0

doi:10.1016/j.ijrobp.2005.11.012

International Journal of Radiation Oncology * Biology * Physics
Volume 64, Issue 4 , Pages 1237-1244, 15 March 2006