A moving target: Image guidance for stereotactic body radiation therapy for early-stage non-small cell lung cancer.

PURPOSE Precise patient positioning is critical due to the large fractional doses and small treatment margins employed for thoracic stereotactic body radiation therapy (SBRT). The goals of this study were to evaluate the following: (1) the accuracy of kilovoltage x-ray (kV x-ray) matching to bony anatomy for pretreatment positioning; (2) the magnitude of intrafraction tumor motion; and (3) whether treatment or patient characteristics correlate with intrafraction motion. METHODS AND MATERIALS Eighty-seven patients with lung cancer were treated with SBRT. Patients were positioned with orthogonal kV x-rays matched to bony anatomy followed by cone-beam computed tomography (CBCT), with matching of the CBCT-visualized tumor to the internal gross target volume obtained from a 4-dimensional CT simulation data set. Patients underwent a posttreatment CBCT to assess the magnitude of intrafraction motion. RESULTS The mean CBCT-based shifts after initial patient positioning using kV x-rays were 2.2 mm in the vertical axis, 1.8 mm in the longitudinal axis, and 1.6 mm in the lateral axis (n = 335). The percentage of shifts greater than 3 mm and 5 mm represented 39% and 17%, respectively, of all fractions delivered. The mean CBCT-based shifts after treatment were 1.6 mm vertically, 1.5 mm longitudinally, and 1.1 mm laterally (n = 343). Twenty-seven percent and 10% of shifts were greater than 3 mm and 5 mm, respectively. Univariate and multivariable analysis demonstrated a significant association between intrafraction motion with weight and pulmonary function. CONCLUSIONS Kilovoltage x-ray matching to bony anatomy is inadequate for accurate positioning when a conventional 3-5 mm margin is employed prior to lung SBRT. Given the treatment techniques used in this study, CBCT image guidance with a 5-mm planning target volume margin is recommended. Further work is required to find determinants of interfraction and intrafraction motion that may help guide the individualized application of planning target volume margins.

[1]  Geoffrey Hugo,et al.  Image-guided radiotherapy via daily online cone-beam CT substantially reduces margin requirements for stereotactic lung radiotherapy. , 2007, International journal of radiation oncology, biology, physics.

[2]  R. Govindan,et al.  Trends in Stage Distribution for Patients with Non-small Cell Lung Cancer: A National Cancer Database Survey , 2010, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[3]  Peter Balter,et al.  Daily alignment results of in-room computed tomography-guided stereotactic body radiation therapy for lung cancer. , 2011, International journal of radiation oncology, biology, physics.

[4]  J. Launders,et al.  Stereotactic Body Radiation Therapy: Scope of the Literature , 2011, Annals of Internal Medicine.

[5]  D. Yan,et al.  Intrafraction variation of mean tumor position during image-guided hypofractionated stereotactic body radiotherapy for lung cancer. , 2012, International journal of radiation oncology, biology, physics.

[6]  M. Schell,et al.  Stereotactic body radiation therapy: the report of AAPM Task Group 101. , 2010, Medical physics.

[7]  P. Diggle Analysis of Longitudinal Data , 1995 .

[8]  Jan-Jakob Sonke,et al.  Quantifying interfraction and intrafraction tumor motion in lung stereotactic body radiotherapy using respiration-correlated cone beam computed tomography. , 2009, International journal of radiation oncology, biology, physics.

[9]  Joachim Widder,et al.  Recommendations for implementing stereotactic radiotherapy in peripheral stage IA non-small cell lung cancer: report from the Quality Assurance Working Party of the randomised phase III ROSEL study , 2009, Radiation oncology.

[10]  B. Heijmen,et al.  Geometrical uncertainties, radiotherapy planning margins, and the ICRU-62 report. , 2002, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[11]  Joshua D. Lawson,et al.  A survey of image‐guided radiation therapy use in the United States , 2010, Cancer.

[12]  Peter Munro,et al.  A quality assurance program for the on-board imager®. , 2006, Medical physics.

[13]  Andrea Bezjak,et al.  Cone-beam computed tomographic image guidance for lung cancer radiation therapy. , 2009, International journal of radiation oncology, biology, physics.

[14]  J. Sonke,et al.  A multinational pooled analysis of 434 cases of stage I non-small cell lung cancer (NSCLC) treated with volumetrically image-guided (VIGRT) stereotactic lung radiotherapy (SBRT): Results from the Elekta Collaborative Lung Research Group. , 2010 .

[15]  David A Jaffray,et al.  The stability of mechanical calibration for a kV cone beam computed tomography system integrated with linear accelerator. , 2005, Medical physics.

[16]  A. Bezjak,et al.  Practical Considerations Arising from the Implementation of Lung Stereotactic Body Radiation Therapy (SBRT) at a Comprehensive Cancer Center , 2008, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[17]  P. Munro,et al.  A quality assurance program for the on-board imagers. , 2006, Medical physics.

[18]  Hiroki Shirato,et al.  Stereotactic body radiotherapy (SBRT) for operable stage I non-small-cell lung cancer: can SBRT be comparable to surgery? , 2011, International journal of radiation oncology, biology, physics.

[19]  M. V. van Herk,et al.  The probability of correct target dosage: dose-population histograms for deriving treatment margins in radiotherapy. , 2000, International journal of radiation oncology, biology, physics.

[20]  James Ze Wang,et al.  Stereotactic body radiation therapy: a novel treatment modality , 2010, Nature Reviews Clinical Oncology.

[21]  Fang-Fang Yin,et al.  Potential underestimation of the internal target volume (ITV) from free-breathing CBCT. , 2011, Medical physics.