Department of Surgical Oncology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands.
Department of Radiology, Medical Physics Group, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Int J Comput Assist Radiol Surg. 2022 Oct;17(10):1765-1773. doi: 10.1007/s11548-022-02659-3. Epub 2022 May 27.
Despite extensive preoperative imaging, intraoperative localization of liver lesions after systemic treatment can be challenging. Therefore, an image-guided navigation setup is explored that links preoperative diagnostic scans and 3D models to intraoperative ultrasound (US), enabling overlay of detailed diagnostic images on intraoperative US. Aim of this study is to assess the workflow and accuracy of such a navigation system which compensates for liver motion.
Electromagnetic (EM) tracking was used for organ tracking and movement of the transducer. After laparotomy, a sensor was attached to the liver surface while the EM-tracked US transducer enabled image acquisition and landmark digitization. Landmarks surrounding the lesion were selected during patient-specific preoperative 3D planning and identified for registration during surgery. Endpoints were accuracy and additional times of the investigative steps. Accuracy was computed at the center of the target lesion.
In total, 22 navigated procedures were performed. Navigation provided useful visualization of preoperative 3D models and their overlay on US imaging. Landmark-based registration resulted in a mean fiducial registration error of 10.3 ± 4.3 mm, and a mean target registration error of 8.5 ± 4.2 mm. Navigation was available after an average of 12.7 min.
We developed a navigation method combining ultrasound with active liver tracking for organ motion compensation, with an accuracy below 10 mm. Fixation of the liver sensor near the target lesion compensates for local movement and contributes to improved reliability during navigation. This represents an important step forward in providing surgical navigation throughout the procedure.
This study is registered in the Netherlands Trial Register (number NL7951).
尽管进行了广泛的术前影像学检查,但全身治疗后肝脏病变的术中定位仍然具有挑战性。因此,探索了一种图像引导导航设置,该设置将术前诊断扫描和 3D 模型与术中超声(US)相关联,从而可以将详细的诊断图像叠加到术中 US 上。本研究的目的是评估这种导航系统的工作流程和准确性,该系统可以补偿肝脏运动。
电磁(EM)跟踪用于器官跟踪和换能器的运动。剖腹手术后,将传感器附着在肝表面上,同时 EM 跟踪的 US 换能器可以进行图像采集和地标数字化。在患者特定的术前 3D 规划期间选择病变周围的地标,并在手术期间识别用于注册的地标。研究步骤的终点是准确性和附加时间。准确性是在目标病变的中心计算的。
总共进行了 22 次导航手术。导航可提供有用的术前 3D 模型可视化及其在 US 成像上的叠加。基于地标注册的结果导致平均基准注册误差为 10.3±4.3mm,平均目标注册误差为 8.5±4.2mm。导航平均可用时间为 12.7 分钟。
我们开发了一种将超声与主动肝脏跟踪相结合的导航方法,用于器官运动补偿,其精度低于 10mm。将肝脏传感器固定在目标病变附近可补偿局部运动,并有助于提高导航过程中的可靠性。这代表着在整个手术过程中提供手术导航的重要一步。
这项研究在荷兰试验注册中心(编号 NL7951)注册。