CT image-guided intensity-modulated therapy for paraspinal tumors using stereotactic immobilization.

PURPOSE To design and implement a noninvasive stereotactic immobilization technique with daily CT image-guided positioning to treat patients with paraspinal lesions accurately and to quantify the systematic and random patient setup errors occurring with this method. METHODS AND MATERIALS A stereotactic body frame (SBF) was developed for "rigid" immobilization of paraspinal patients. The inherent accuracy of this system for stereotactic CT-guided treatment was evaluated with phantom studies. Seven patients with thoracic and lumbar spine lesions were immobilized with the SBF and positioned for 33 treatment fractions using daily CT scans. For all 7 patients, the daily setup errors, as assessed from the daily CT scans, were corrected at each treatment fraction. A retrospective analysis was also performed to assess what the impact on patient treatment would have been without the CT-based corrections (i.e., if patient setup had been performed only with the SBF). RESULTS The average magnitude of systematic and random errors from uncorrected patient setups using the SBF was approximately 2 mm and 1.5 mm (1 SD), respectively. For fixed phantom targets, the system accuracy for the SBF localization and treatment was shown to be within 1 mm (1 SD) in any direction. Dose-volume histograms incorporating these uncertainties for an intensity-modulated radiotherapy plan for lumbar spine lesions were generated, and the effects on the dose-volume histograms were studied. CONCLUSION We demonstrated a very accurate and precise method of patient immobilization and treatment delivery based on a noninvasive SBF and daily image guidance for paraspinal lesions. The SBF provides excellent immobilization for paraspinal targets, with setup accuracy better than 2 mm (1 SD). However, for highly conformal paraspinal treatments, uncorrected systematic and random errors of 2 mm in magnitude can result in a significantly greater (>100%) dose to the spinal cord than planned, even though the planned target coverage may not change substantially. With daily CT guidance using the SBF, we showed that the maximal spinal cord dose is ensured to be within 10-15% of the planned value.

[1]  G J Kutcher,et al.  The effect of setup uncertainties on the treatment of nasopharynx cancer. , 1993, International journal of radiation oncology, biology, physics.

[2]  J Yang,et al.  Smoothing intensity-modulated beam profiles to improve the efficiency of delivery. , 2001, Medical physics.

[3]  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.

[4]  R Mohan,et al.  A comprehensive three-dimensional radiation treatment planning system. , 1988, International journal of radiation oncology, biology, physics.

[5]  R Mohan,et al.  The effect of setup uncertainty on normal tissue sparing with IMRT for head-and-neck cancer. , 2001, International journal of radiation oncology, biology, physics.

[6]  F. Lohr,et al.  Noninvasive patient fixation for extracranial stereotactic radiotherapy. , 1999, International journal of radiation oncology, biology, physics.

[7]  F Lohr,et al.  Extracranial stereotactic radiation therapy: set-up accuracy of patients treated for liver metastases. , 2000, International journal of radiation oncology, biology, physics.

[8]  A. Hamilton,et al.  A prototype device for linear accelerator-based extracranial radiosurgery. , 1995, Acta neurochirurgica. Supplement.

[9]  I Gibbs,et al.  Image-guided radiosurgery in the treatment of spinal metastases. , 2001, Neurosurgical focus.

[10]  C C Ling,et al.  Clinical experience with intensity modulated radiation therapy (IMRT) in prostate cancer. , 2000, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[11]  P. Levendag,et al.  Electronic portal image assisted reduction of systematic set-up errors in head and neck irradiation. , 2001, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[12]  A. Hamilton,et al.  Preliminary clinical experience with linear accelerator-based spinal stereotactic radiosurgery. , 1995, Neurosurgery.

[13]  I. Lax,et al.  Stereotactic radiotherapy of malignancies in the abdomen. Methodological aspects. , 1994, Acta oncologica.

[14]  K. Winston,et al.  A system for stereotactic radiosurgery with a linear accelerator , 1988 .

[15]  A L Boyer,et al.  Dosimetric effects of patient displacement and collimator and gantry angle misalignment on intensity modulated radiation therapy. , 2000, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[16]  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.

[17]  I. Lax,et al.  Stereotactic Radiotherapy of Extracranial Targets , 1994 .

[18]  U Oppitz,et al.  Stereotactic radiotherapy of extracranial targets: CT-simulation and accuracy of treatment in the stereotactic body frame. , 2000, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[19]  T LoSasso,et al.  Treatment planning and delivery of intensity-modulated radiation therapy for primary nasopharynx cancer. , 2001, International journal of radiation oncology, biology, physics.

[20]  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.

[21]  M van Herk,et al.  Automatic three-dimensional inspection of patient setup in radiation therapy using portal images, simulator images, and computed tomography data. , 1996, Medical physics.

[22]  S. Spirou,et al.  A gradient inverse planning algorithm with dose-volume constraints. , 1998, Medical physics.

[23]  Chen-Shou Chui,et al.  Evaluation of concave dose distributions created using an inverse planning system. , 2002, International journal of radiation oncology, biology, physics.