Abstract:Recent progress in navigation has revealed problems involving non-rigid registration for hepatic surgery. With the increasing popularity of laparoscopic liver surgery, a new laparoscopic navigation system is necessary. this study involved an in-vitro demonstration of a 3-dimensional printer model and in vivo demonstration in four patients. for the in vitro examination, a position detecting unit attached at 33 cm and 13 cm distance conditions from the tip of the electrocautery was examined eight times at the ma… Show more
“…Whilst for each procedure different levels of accuracy can be sufficient, we determine a TRE < 10 mm as a measure of successful navigation since this accuracy is considered as the current state of the art for US-guided or video-based navigation systems [8,25,26]. This defined the success rate of the study, by aiming for a TRE of lower than 10 mm in more than 70% (p) of the procedures.…”
Purpose 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. Methods 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. Results 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.
ConclusionWe 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.Trial Registration: This study is registered in the Netherlands Trial Register (number NL7951).
“…Whilst for each procedure different levels of accuracy can be sufficient, we determine a TRE < 10 mm as a measure of successful navigation since this accuracy is considered as the current state of the art for US-guided or video-based navigation systems [8,25,26]. This defined the success rate of the study, by aiming for a TRE of lower than 10 mm in more than 70% (p) of the procedures.…”
Purpose 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. Methods 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. Results 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.
ConclusionWe 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.Trial Registration: This study is registered in the Netherlands Trial Register (number NL7951).
“…[70] There is an opportunity for these 3D modeling methods to translate into intraoperative advanced navigation techniques, which will provide real-time guidance to intrahepatic structures during liver transection, in the operating room. [71,72] The investigations just described have had a profound effect on enhancing the safety of liver surgery, by improving staging, as well as defining indications and patient selection criteria for surgery.…”
Section: D Visual Reconstruction Of the Tumorbearing Livermentioning
“…RVS fuses the images of ultrasound and CT/MRI, and thus is able to combine the good spatial resolution of CT/MRI with the advantages of real-time dynamic observation of ultrasound (19). Adopting the method of spatial magnetic positioning, RVS is able to achieve realtime correspondence between ultrasound images and CT/ MRI images through image position registration, and then the IOUS and fusion images are simultaneously displayed on the RVS operation interface (20). On the basis of image fusion, the RVS system uses the electromagnetic sensor fixed on the ultrasound probe and the electromagnetic generator of the navigation system to precisely match the image of ultrasound with CT/MRI to realize free tracking of spatial positioning.…”
To analyze the feasibility and clinical effect of novel intraoperative navigation of real-time virtual sonography (RVS) combined with indocyanine green (ICG) fluorescent imaging technology in anatomical liver resection (ALR) for hepatocellular carcinoma. The clinical data of 41 patients who underwent ALR using RVS intraoperative navigation combined with ICG fluorescent imaging technology in the
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