Gamma Knife® icon CBCT offers improved localization workflow for frame‐based treatment

Abstract Object The purpose of this study was to compare two methods of stereotactic localization in Gamma Knife treatment planning: cone beam computed tomography (CBCT) or fiducial. While the fiducial method is the traditional method of localization, CBCT is now available for use with the Gamma Knife Icon. This study seeks to determine whether a difference exists between the two methods and then whether one is better than the other regarding accuracy and workflow optimization. Methods Cone beam computed tomography was used to define stereotactic space around the Elekta Film Pinprick phantom and then treated with film in place. The same phantom was offset known amounts from center and then imaged with CBCT and registered with the reference CBCT image to determine if measured offsets matched those known. Ten frameless and 10 frame‐based magnetic resonance imaging (MRI) to CBCT patient fusions were retrospectively evaluated using the TG‐132 TRE method. The stereotactic coordinates defined by CBCT and traditional fiducials were compared on the Elekta 8 cm Ball phantom, an anthropomorphic phantom, and actual patient data. Offsets were introduced to the anthropomorphic phantom in the stereotactic frame and CBCT's ability to detect those offsets was determined. Results Cone beam computed tomography defines stereotactic space well within the established limits of the mechanical alignment system. The CBCT to CBCT registration can detect offsets accurately to within 0.1 mm and 0.5°. In all cases, some disagreement existed between fiducial localization and that of CBCT which in some cases was small, but also was as high as 0.43 mm in the phantom domain and as much as 1.54 mm in actual patients. Conclusion Cone beam computed tomography demonstrates consistent accuracy in defining stereotactic space. Since both localization methods do not agree with each other consistently, the more reliable method must be identified. Cone beam computed tomography can accurately determine offsets occurring within stereotactic space that would be nondiscernible utilizing the fiducial method and seems to be more reliable. Using CBCT localization offers the opportunity to streamline workflow both from a patient and clinic perspective and also shows patient position immediately prior to treatment.

[1]  Hyun‐Tai Chung,et al.  Assessment of the accuracy and stability of frameless gamma knife radiosurgery , 2018, Journal of applied clinical medical physics.

[2]  F. Wenz,et al.  Validation of frame-based positioning accuracy with cone-beam computed tomography in Gamma Knife Icon radiosurgery. , 2018, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[3]  Y. Hirokawa,et al.  Evaluation of dose delivery accuracy of Gamma Knife by polymer gel dosimetry , 2005, Journal of applied clinical medical physics.

[4]  R. Goodman,et al.  Effects of coregistration of MR to CT images on MR stereotactic accuracy. , 1995, Journal of neurosurgery.

[5]  Y. Shibamoto,et al.  Assessment of spatial uncertainty in computed tomography-based Gamma Knife stereotactic radiosurgery process with automated positioning system , 2014, Acta Neurochirurgica.

[6]  K. Miszkiel,et al.  Evaluation of the stability of the stereotactic Leksell Frame G in Gamma Knife radiosurgery , 2016, Journal of applied clinical medical physics.

[7]  J. Bourhis,et al.  Commissioning of the Leksell Gamma Knife® Icon™ , 2017, Medical physics.

[8]  M. Torrens,et al.  Assessment and characterization of the total geometric uncertainty in Gamma Knife radiosurgery using polymer gels. , 2013, Medical physics.

[9]  Frame stability and anatomical QA in radiosurgery , 2011, Acta Neurochirurgica.

[10]  Bernhard Heck,et al.  Accuracy and stability of positioning in radiosurgery: long-term results of the Gamma Knife system. , 2007, Medical physics.

[11]  A Moutsatsos,et al.  Characterization of system-related geometric distortions in MR images employed in Gamma Knife radiosurgery applications , 2016, Physics in medicine and biology.

[12]  L. Verhey,et al.  Whole-procedure clinical accuracy of gamma knife treatments of large lesions. , 2008, Medical physics.

[13]  Berndt Wowra,et al.  Quality assurance in stereotactic space. A system test for verifying the accuracy of aim in radiosurgery. , 2002, Medical physics.

[14]  Daniel M Trifiletti,et al.  Spatial shifts in frame-based Gamma Knife radiosurgery: A case for cone beam CT imaging as quality assurance using the Gamma Knife® Icon™. , 2018, Journal of radiosurgery and SBRT.

[15]  R. Müller,et al.  Impact of target point deviations on control and complication probabilities in stereotactic radiosurgery of AVMs and metastases. , 2006, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[16]  Guy Marchal,et al.  Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.

[17]  Yoichi Watanabe,et al.  Image registration accuracy of GammaPlan: a phantom study. , 2008, Journal of neurosurgery.

[18]  Nicolas Massager,et al.  Targeting inaccuracy caused by mechanical distortion of the Leksell stereotactic frame during fixation , 2019, Journal of applied clinical medical physics.

[19]  Leksell Gamma Accuracy of co-registration of planning images with Cone Beam CT images Our more than 4,000 employees worldwide are committed to ensuring everyone in the world with cancer has access to—and benefits from—more precise, personalized radiotherapy treatments. , 2015 .

[20]  Pantelis Karaiskos,et al.  MRI-Related Geometric Distortions in Stereotactic Radiotherapy Treatment Planning: Evaluation and Dosimetric Impact , 2017, Technology in cancer research & treatment.

[21]  M. Torrens,et al.  Standardization of terminology in stereotactic radiosurgery: Report from the Standardization Committee of the International Leksell Gamma Knife Society: special topic. , 2014, Journal of neurosurgery.

[22]  Mark Ruschin,et al.  Performance characterization of an integrated cone‐beam CT system for dedicated gamma radiosurgery , 2018, Medical physics.

[23]  Yuta Shibamoto,et al.  Validation of accuracy in image co-registration with computed tomography and magnetic resonance imaging in Gamma Knife radiosurgery , 2014, Journal of radiation research.