Treatment precision of image-guided liver SBRT using implanted fiducial markers depends on marker–tumour distance

The purpose of this study is to assess the accuracy of day-to-day predictions of liver tumour position using implanted gold markers as surrogates and to compare the method with alternative set-up strategies, i.e. no correction, vertebrae and 3D diaphragm-based set-up. Twenty patients undergoing stereotactic body radiation therapy (SBRT) with abdominal compression for primary or metastatic liver cancer were analysed. We determined the day-to-day correlation between gold marker and tumour positions in contrast-enhanced CT scans acquired at treatment preparation and before each treatment session. The influence of marker-tumour distance on the accuracy of prediction was estimated by introducing a method extension of the set-up error paradigm. The distance between gold markers and the centre of the tumour varied between 5 and 96 mm. Marker-guidance was superior to guiding treatment using other surrogates, although both the random and systematic components of the prediction error SD depended on the tumour-marker distance. For a marker-tumour distance of 4 cm, we observed σ = 1.3 mm and Σ = 1.6 mm. The 3D position of the diaphragm dome was the second best predictor. In conclusion, the tumour position can be predicted accurately using implanted markers, but marker-guided set-up accuracy decreases with increasing distance between implanted markers and the tumour.

[1]  B. Heijmen,et al.  A protocol for the reduction of systematic patient setup errors with minimal portal imaging workload. , 2001, International journal of radiation oncology, biology, physics.

[2]  Yvette Seppenwoolde,et al.  Potentials and limitations of guiding liver stereotactic body radiation therapy set-up on liver-implanted fiducial markers. , 2010, International journal of radiation oncology, biology, physics.

[3]  P. Levendag,et al.  Target coverage in image-guided stereotactic body radiotherapy of liver tumors. , 2007, International journal of radiation oncology, biology, physics.

[4]  Geoffrey G. Zhang,et al.  Four-dimensional computed tomography scan analysis of tumor and organ motion at varying levels of abdominal compression during stereotactic treatment of lung and liver. , 2008, International journal of radiation oncology, biology, physics.

[5]  Randall K Ten Haken,et al.  Evaluating the influence of setup uncertainties on treatment planning for focal liver tumors. , 2001, International journal of radiation oncology, biology, physics.

[6]  B. Heijmen,et al.  Analysis and reduction of 3D systematic and random setup errors during the simulation and treatment of lung cancer patients with CT-based external beam radiotherapy dose planning. , 2001, International journal of radiation oncology, biology, physics.

[7]  Ross I Berbeco,et al.  Clinical feasibility of using an EPID in CINE mode for image-guided verification of stereotactic body radiotherapy. , 2007, International journal of radiation oncology, biology, physics.

[8]  Peter C Levendag,et al.  Stereotactic body radiation therapy for primary and metastatic liver tumors: A single institution phase i-ii study , 2006, Acta oncologica.

[9]  Shinichi Shimizu,et al.  Registration accuracy and possible migration of internal fiducial gold marker implanted in prostate and liver treated with real-time tumor-tracking radiation therapy (RTRT). , 2002, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[10]  Fang-Fang Yin,et al.  Refinement of treatment setup and target localization accuracy using three-dimensional cone-beam computed tomography for stereotactic body radiotherapy. , 2009, International journal of radiation oncology, biology, physics.

[11]  Franklin A. Graybill,et al.  Introduction to the Theory of Statistics, 3rd ed. , 1974 .

[12]  J. Wolfowitz,et al.  Introduction to the Theory of Statistics. , 1951 .

[13]  Xing-Qi Lu,et al.  Organ deformation and dose coverage in robotic respiratory-tracking radiotherapy. , 2008, International journal of radiation oncology, biology, physics.

[14]  J. Petersen,et al.  Inter- and intrafractional localisation errors in cone-beam CT guided stereotactic radiation therapy of tumours in the liver and lung , 2010, Acta oncologica.

[15]  G. Judge,et al.  The Theory and Practice of Econometrics , 1981 .

[16]  Kristy K Brock,et al.  Accuracy of daily image guidance for hypofractionated liver radiotherapy with active breathing control. , 2005, International journal of radiation oncology, biology, physics.

[17]  Yvette Seppenwoolde,et al.  Liver STEREOTACTIC BODY RADIATION THERAPY FOR LIVER TUMORS : IMPACT OF DAILY SETUP CORRECTIONS AND DAY-TO-DAY ANATOMIC VARIATIONS ON DOSE IN TARGET AND ORGANS AT RISK , 2009 .

[18]  J C Stroom,et al.  Inclusion of geometrical uncertainties in radiotherapy treatment planning by means of coverage probability. , 1999, International journal of radiation oncology, biology, physics.

[19]  Samuel Chang,et al.  Needle Tract Implantation after Percutaneous Interventional Procedures in Hepatocellular Carcinomas: Lessons Learned from a 10-year Experience , 2008, Korean journal of radiology.

[20]  R. Sweeney,et al.  Image-guided radiotherapy for liver cancer using respiratory-correlated computed tomography and cone-beam computed tomography. , 2008, International journal of radiation oncology, biology, physics.

[21]  Ross I Berbeco,et al.  A novel method for estimating SBRT delivered dose with beam's-eye-view images. , 2008, Medical Physics (Lancaster).

[22]  Ben Heijmen,et al.  Reduction of respiratory liver tumor motion by abdominal compression in stereotactic body frame, analyzed by tracking fiducial markers implanted in liver. , 2008, International journal of radiation oncology, biology, physics.

[23]  Maria Hawkins,et al.  Reproducibility of liver position using active breathing coordinator for liver cancer radiotherapy. , 2006, International journal of radiation oncology, biology, physics.

[24]  J Bijhold,et al.  Maximizing setup accuracy using portal images as applied to a conformal boost technique for prostatic cancer. , 1992, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[25]  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.

[26]  P Boesiger,et al.  4D MR imaging of respiratory organ motion and its variability , 2007, Physics in medicine and biology.

[27]  K. Brock,et al.  Determination of ventilatory liver movement via radiographic evaluation of diaphragm position. , 2001, International journal of radiation oncology, biology, physics.

[28]  Sergi Ganau,et al.  Increased risk of tumor seeding after percutaneous radiofrequency ablation for single hepatocellular carcinoma , 2001, Hepatology.

[29]  M. Hoogeman,et al.  Clinical accuracy of the respiratory tumor tracking system of the cyberknife: assessment by analysis of log files. , 2009, International journal of radiation oncology, biology, physics.

[30]  G. Lockwood,et al.  Interfraction and respiratory organ motion during conformal radiotherapy in gastric cancer. , 2010, International journal of radiation oncology, biology, physics.

[31]  Jan-Jakob Sonke,et al.  Inter- and intrafraction variability in liver position in non-breath-hold stereotactic body radiotherapy. , 2009, International journal of radiation oncology, biology, physics.

[32]  N. Papanikolaou,et al.  Tomotherapeutic stereotactic body radiation therapy: Techniques and comparison between modalities , 2006, Acta oncologica.

[33]  W. Wunderink Accurate Targeting of Liver Tumors in Stereotactic Radiation Therapy , 2011 .

[34]  Gábor Székely,et al.  Systematic errors in respiratory gating due to intrafraction deformations of the liver. , 2007, Medical physics.