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经会阴 3D 超声图像引导机器人根治性前列腺切除术的可行性。

On the feasibility of transperineal 3D ultrasound image guidance for robotic radical prostatectomy.

机构信息

Department of Electrical and Computer Engineering, University of British Columbia, 2332 Main Mall, Vancouver, BC, V6T 1Z4, Canada.

出版信息

Int J Comput Assist Radiol Surg. 2019 Jun;14(6):923-931. doi: 10.1007/s11548-019-01938-w. Epub 2019 Mar 13.

Abstract

PURPOSE

Prostate cancer is the most prevalent form of male-specific cancers. Robot-assisted laparoscopic radical prostatectomy (RALRP) using the da Vinci surgical robot has become the gold-standard treatment for organ-confined prostate cancer. To improve intraoperative visualization of anatomical structures, many groups have developed techniques integrating transrectal ultrasound (TRUS) into the surgical workflow. TRUS, however, is intrusive and does not provide real-time volumetric imaging.

METHODS

We propose a proof-of-concept system offering an alternative noninvasive transperineal view of the prostate and surrounding structures using 3D ultrasound (US), allowing for full-volume imaging in any anatomical plane desired. The system aims to automatically track da Vinci surgical instruments and display a real-time US image registered to preoperative MRI. We evaluate the approach using a custom prostate phantom, an iU22 (Philips Healthcare, Bothell, WA) US machine with an xMATRIX X6-1 transducer, and a custom probe fixture. A novel registration method between the da Vinci kinematic frame and 3D US is presented. To evaluate the entire registration pipeline, we use a previously developed MRI to US deformable registration algorithm.

RESULTS

Our US calibration technique yielded a registration error of 0.84 mm, compared to 1.76 mm with existing methods. We evaluated overall system error with a prostate phantom, achieving a target registration error of 2.55 mm.

CONCLUSION

Transperineal imaging using 3D US is a promising approach for image guidance during RALRP. Preliminary results suggest this system is comparable to existing guidance systems using TRUS. With further development and testing, we believe our system has the potential to improve patient outcomes by imaging anatomical structures and prostate cancer in real time.

摘要

目的

前列腺癌是男性特有的最常见癌症之一。使用达芬奇手术机器人的机器人辅助腹腔镜根治性前列腺切除术(RALRP)已成为局限性前列腺癌的金标准治疗方法。为了提高手术中解剖结构的可视化程度,许多团队已经开发出将经直肠超声(TRUS)集成到手术流程中的技术。然而,TRUS 具有侵入性,并且不能提供实时容积成像。

方法

我们提出了一种概念验证系统,该系统使用 3D 超声(US)提供了一种替代的非侵入性经会阴前列腺和周围结构视图,允许在任何所需的解剖平面上进行全容积成像。该系统旨在自动跟踪达芬奇手术器械,并显示实时与术前 MRI 配准的 US 图像。我们使用定制的前列腺模型、配备 xMATRIX X6-1 换能器的 iU22(飞利浦医疗保健公司,华盛顿州博塞尔)US 机和定制探头夹具来评估该方法。提出了一种新的达芬奇运动学框架和 3D US 之间的注册方法。为了评估整个注册管道,我们使用了以前开发的 MRI 到 US 可变形注册算法。

结果

我们的 US 校准技术的注册误差为 0.84mm,而现有方法的注册误差为 1.76mm。我们使用前列腺模型评估了整个系统的误差,达到了 2.55mm 的目标注册误差。

结论

经会阴 3D US 成像对于 RALRP 期间的图像引导是一种很有前途的方法。初步结果表明,该系统与使用 TRUS 的现有引导系统相当。随着进一步的开发和测试,我们相信我们的系统具有通过实时成像解剖结构和前列腺癌来改善患者结果的潜力。

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