Department of General, Visceral, Cancer and Transplant Surgery, Faculty of Medicine, University of Cologne, University Hospital Cologne, Cologne, Germany.
Department of General, Visceral and Oncological Surgery, Helios Hospital Berlin-Buch, Berlin, Germany.
Langenbecks Arch Surg. 2024 Sep 3;409(1):268. doi: 10.1007/s00423-024-03456-z.
Augmented reality navigation in liver surgery still faces technical challenges like insufficient registration accuracy. This study compared registration accuracy between local and external virtual 3D liver models (vir3DLivers) generated with different rendering techniques and the use of the left vs right main portal vein branch (LPV vs RPV) for landmark setting. The study should further examine how registration accuracy behaves with increasing distance from the ROI.
Retrospective registration accuracy analysis of an optical intraoperative 3D navigation system, used in 13 liver tumor patients undergoing liver resection/thermal ablation.
109 measurements in 13 patients were performed. Registration accuracy with local and external vir3DLivers was comparable (8.76 ± 0.9 mm vs 7.85 ± 0.9 mm; 95% CI = -0.73 to 2.55 mm; p = 0.272). Registrations via the LPV demonstrated significantly higher accuracy than via the RPV (6.2 ± 0.85 mm vs 10.41 ± 0.99 mm, 95% CI = 2.39 to 6.03 mm, p < 0.001). There was a statistically significant positive but weak correlation between the accuracy (d) and the distance from the ROI (d) (r = 0.298; p = 0.002).
Despite basing on different rendering techniques both local and external vir3DLivers have comparable registration accuracy, while LPV-based registrations significantly outperform RPV-based ones in accuracy. Higher accuracy can be assumed within distances of up to a few centimeters around the ROI.
增强现实导航在肝脏手术中仍然面临技术挑战,例如注册精度不足。本研究比较了不同渲染技术生成的局部和外部虚拟 3D 肝脏模型(vir3DLivers)以及使用左主门静脉分支(LPV)和右主门静脉分支(RPV)进行标志设置的注册精度。该研究还进一步研究了注册精度如何随 ROI 距离的增加而变化。
对 13 例接受肝切除/热消融的肝肿瘤患者使用光学术中 3D 导航系统进行回顾性注册精度分析。
在 13 例患者中进行了 109 次测量。局部和外部 vir3DLivers 的注册精度相当(8.76±0.9 毫米 vs 7.85±0.9 毫米;95%置信区间=−0.73 至 2.55 毫米;p=0.272)。通过 LPV 进行的注册比通过 RPV 进行的注册精度更高(6.2±0.85 毫米 vs 10.41±0.99 毫米,95%置信区间=2.39 至 6.03 毫米,p<0.001)。准确性(d)与 ROI 距离(d)之间存在统计学上显著的正相关,但相关性较弱(r=0.298;p=0.002)。
尽管基于不同的渲染技术,但局部和外部 vir3DLivers 的注册精度相当,而基于 LPV 的注册精度明显优于基于 RPV 的注册精度。在 ROI 周围几厘米的距离内,可以假设更高的精度。