Simulated gamma knife head frame placement for radiosurgical pre-planning

模拟伽玛刀头架定位以进行放射外科术前规划

阅读:2

Abstract

The Leksell Gamma Knife (GK) is capable of targeting intracranial lesions with a high degree of accuracy. A headframe is rigidly attached to the patient's skull to establish a stereotactic coordinate system and provide a means for precisely positioning the patient in stereotactic space. After stereotactic target localization and radiosurgical treatment planning the skull and headframe are then moved with sub-millimeter precision to bring a target volume to the radiological focus of the GK unit. However, for GK models 4C and earlier, the treatable intracranial volume may be limited by collisions between the skull/headframe and the GK collimator helmet, or by mechanical travel limits of the skull/headframe within the collimator helmet. Both of these treatment-limiting conditions can be found only after the headframe has been placed on the patient. If the volume of interest cannot be treated with the initial headframe placement, additional headframe placements or a different course of treatment are needed. We have developed a software package that allows for simulated headframe placement and collision checks using pre-treatment day image sets, in order to minimize the need for multiple headframe placements. We performed a small validation experiment with an anthropomorphic head phantom to evaluate the software's capabilities for predicting a clinically useable headframe position. We also used the software in an IRB-approved retrospective review for twenty-five GK image sets for a group of patients that could not be treated with the initial headframe placement, to determine if the software tool could locate an optimized headframe position to enable GK radiosurgery of all identified targets with a single headframe placement. We found that four of the cases could have been completed with a single optimized headframe placement and twenty-four of the cases could not be treated with any single headframe placement.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。