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三维增强现实引导机器人辅助肾移植:突破动脉粥样硬化斑块的限制。

Three-dimensional Augmented Reality-guided Robotic-assisted Kidney Transplantation: Breaking the Limit of Atheromatic Plaques.

机构信息

Department of Urology, Fundació Puigvert, Autonomous University of Barcelona, Barcelona, Spain; Department of Urology, "San Luigi Gonzaga" Hospital, University of Turin, Turin, Italy.

Department of Urology, Fundació Puigvert, Autonomous University of Barcelona, Barcelona, Spain.

出版信息

Eur Urol. 2022 Oct;82(4):419-426. doi: 10.1016/j.eururo.2022.07.003. Epub 2022 Aug 16.

Abstract

BACKGROUND

Robotic-assisted kidney transplantation (RAKT) has shown solid results as a minimally invasive alternative to the standard open approach (open kidney transplantation [OKT]). However, RAKT is still limited in those cases where the recipient's iliac vessels present atherosclerotic plaques, frequently found in elder patients and in those subjected to long-term hemodialysis. Unlike OKT, where the surgeon can palpate the arterial plaques, in minimally invasive surgery the haptic feedback is missing, making the vascular clamping and arteriotomy unsafe.

OBJECTIVE

To employ three-dimensional (3D) imaging reconstruction using augmented reality (AR) to intraoperatively locate the plaques during the crucial steps of kidney transplantation.

DESIGN, SETTING, AND PARTICIPANTS: Our study was conducted according to the Idea, Development, Exploration, Assessment, and Long-term follow-up (IDEAL) model for surgical innovation. Three-dimensional virtual models were obtained from high-accuracy computed tomography scan imaging and superimposed on the vessels during RAKT using the Da Vinci console software.

SURGICAL PROCEDURE

Three-dimensional AR-guided robotic-assisted kidney transplantation.

MEASUREMENTS

The correspondence of virtual models with the real anatomy of patients was assessed comparing vessels' and plaques' measures.

RESULTS AND LIMITATIONS

We tested the possibility of using the AR in the setting of vascular surgery by checking the correspondence of the virtual models to the real vessels. During the accuracy assessment, we investigated the anatomy of the iliac plaques and the capacity of the virtual models to correctly represent them. Finally, we tested the efficacy of the virtual model superimposition on the real vessels with plaques during RAKT in the recipients of living donor grafts. The main limitation consists in training needed to correctly superimpose virtual models on the real field.

CONCLUSIONS

The employment of 3D AR allowed surgeons to overcome one of the main limitations of RAKT, setting the foundation to expand its indications to patients with advanced atheromatic vascular disease.

PATIENT SUMMARY

The use of three-dimensional augmented reality guidance during kidney transplantation (KT) has the potential to "navigate" the surgeon during KT, allowing a safer procedure in patients with atheromatic vascular disease.

摘要

背景

机器人辅助肾移植(RAKT)已被证明是一种微创替代标准开放手术(开放肾移植[OKT])的有效方法。然而,RAKT 在那些受体髂血管存在动脉粥样硬化斑块的情况下仍然受到限制,这些斑块通常在老年患者和长期接受血液透析的患者中出现。与 OKT 不同,在微创手术中,外科医生可以触诊动脉斑块,而触觉反馈缺失,使得血管夹闭和动脉切开术变得不安全。

目的

在肾移植的关键步骤中,使用增强现实(AR)的三维(3D)成像重建来术中定位斑块。

设计、设置和参与者:我们的研究根据手术创新的 IDEAL(理念、开发、探索、评估和长期随访)模型进行。使用达芬奇控制台软件,从高精度计算机断层扫描成像中获得三维虚拟模型,并将其叠加在 RAKT 中的血管上。

手术过程

三维 AR 引导的机器人辅助肾移植。

测量

通过比较血管和斑块的测量值,评估虚拟模型与患者真实解剖结构的一致性。

结果和局限性

我们通过检查虚拟模型与真实血管的一致性,测试了 AR 在血管手术中的应用可能性。在准确性评估中,我们研究了髂动脉斑块的解剖结构以及虚拟模型正确表示它们的能力。最后,我们在活体供体移植物受体的 RAKT 中测试了带有斑块的真实血管上虚拟模型叠加的效果。主要限制在于需要正确地将虚拟模型叠加到真实手术区域上。

结论

3D AR 的应用使外科医生能够克服 RAKT 的主要限制之一,为将其适应症扩展到患有进展性动脉粥样硬化血管疾病的患者奠定了基础。

患者总结

在肾移植(KT)期间使用三维增强现实引导有可能在 KT 期间为外科医生提供“导航”,使患有动脉粥样硬化血管疾病的患者的手术过程更安全。

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