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精准多模态胆囊手术导航的前瞻性评估:虚拟现实、近红外荧光和基于 X 线的术中胆管造影。

Prospective Evaluation of Precision Multimodal Gallbladder Surgery Navigation: Virtual Reality, Near-infrared Fluorescence, and X-ray-based Intraoperative Cholangiography.

机构信息

*IHU-Strasbourg, Institute of Image-Guided Surgery, Strasbourg, France †IRCAD, Research Institute against Cancer of the Digestive System, Strasbourg, France ‡University Hospital of Strasbourg, Department of General, Digestive, and Endocrine Surgery, Strasbourg, France §University Hospital of Strasbourg, Department of Radiology B, Strasbourg, France.

出版信息

Ann Surg. 2017 Nov;266(5):890-897. doi: 10.1097/SLA.0000000000002400.

Abstract

OBJECTIVE

We aimed to prospectively evaluate NIR-C, VR-AR, and x-ray intraoperative cholangiography (IOC) during robotic cholecystectomy.

BACKGROUND

Near-infrared cholangiography (NIR-C) provides real-time, radiation-free biliary anatomy enhancement. Three-dimensional virtual reality (VR) biliary anatomy models can be obtained via software manipulation of magnetic resonance cholangiopancreatography, enabling preoperative VR exploration, and intraoperative augmented reality (AR) navigation.

METHODS

Fifty-eight patients were scheduled for cholecystectomy for gallbladder lithiasis. VR surgical planning was performed on virtual models. At anesthesia induction, indocyanine green was injected intravenously. AR navigation was obtained by overlaying the virtual model onto real-time images. Before and after Calot triangle dissection, NIR-C was obtained by turning the camera to NIR mode. Finally, an IOC was performed. The 3 modality performances were evaluated and image quality was assessed with a Likert-scale questionnaire.

RESULTS

The three-dimensional VR planning enabled the identification of 12 anatomical variants in 8 patients, of which only 7 were correctly reported by the radiologists (P = 0.037). A dangerous variant identified at VR induced a "fundus first" approach. The cystic-common bile duct junction was visualized before Calot triangle dissection at VR in 100% of cases, at NIR-C in 98.15%, and in 96.15% at IOC.Mean time to obtain relevant images was shorter with NIR-C versus AR (P = 0.008) and versus IOC (P = 0.00000003). Image quality scores were lower with NIR-C versus AR (P = 0.018) and versus IOC (P < 0.0001).

CONCLUSIONS

This high-tech protocol illustrates the multimodal imaging of biliary anatomy towards precision cholecystectomy. Those visualization techniques could complement to reduce the likelihood of biliary injuries (NCT01881399).

摘要

目的

我们旨在前瞻性评估机器人胆囊切除术中近红外胆管造影(NIR-C)、虚拟现实-增强现实(VR-AR)和 X 线术中胆管造影(IOC)。

背景

近红外胆管造影(NIR-C)可提供实时、无辐射的胆道解剖增强。通过磁共振胰胆管成像的软件操作可以获得三维虚拟现实(VR)胆道解剖模型,从而实现术前 VR 探索和术中增强现实(AR)导航。

方法

58 例胆囊结石患者拟行胆囊切除术。在虚拟模型上进行 VR 手术规划。麻醉诱导时,静脉注射吲哚菁绿。通过将虚拟模型叠加到实时图像上来获得 AR 导航。在解剖胆囊三角前后,通过将摄像头切换到 NIR 模式获得 NIR-C。最后进行 IOC。评估 3 种模式的性能,并通过李克特量表问卷调查评估图像质量。

结果

三维 VR 规划可识别 8 例患者的 12 种解剖变异,其中仅 7 种被放射科医生正确报告(P = 0.037)。VR 识别的危险变异导致采用“先处理底部”的方法。100%的病例在 VR 上可在解剖胆囊三角前显示胆囊-胆总管交界处,98.15%在 NIR-C 上,96.15%在 IOC 上。获得相关图像的平均时间,NIR-C 比 AR 更短(P = 0.008),比 IOC 更短(P = 0.00000003)。NIR-C 的图像质量评分低于 AR(P = 0.018)和 IOC(P < 0.0001)。

结论

该高科技方案展示了胆道解剖的多模态成像技术,有助于实现精准胆囊切除术。这些可视化技术可以互补,降低胆道损伤的可能性(NCT01881399)。

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