In-vivo evaluation of an augmented reality enhanced ultrasound needle guidance system for minimally invasive procedures in porcine models: a preclinical comparative study.

Sanjit Datta, Robert F Short, Jeffrey W Milsom, Charles Martin Iii, Gaurav Gadodia, Gabrielle Stefy Bailey, Crew Weunski, Michael Evans, Bradley B Pua
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Abstract

Purpose: This study compared the accuracy, safety, and efficacy of standard-of-care (SOC) ultrasound and augmented reality needle guidance system (ARNGS) used adjunctively for percutaneous needle placement in porcine models.

Methods: Four live swine underwent a model creation procedure in which metallic fiducials were percutaneously implanted into the livers (n = 8 per animal; 32 total) and kidneys (n = 4 per animal;16 total) to serve as "lesions." Computed tomography was used to create three-dimensional volumetric images of the anatomy. Four physicians, with limited previous ARNGS experience and blinded to the target locations, positioned needles at the targets using either SOC alone or ARNGS + SOC.

Results: No adverse events occurred. Mean target registration error (TRE) was 3.0 mm (95% confidence interval [CI], 2.4-3.6 mm; n = 22) with SOC (an average needle depth, 8.0 cm) and 2.9 mm (95% CI, 2.2-3.5 mm; n = 24) with ARNGS + SOC (an average needle depth, 7.6 cm). The first-attempt success rate was 39.1% (9/23) for SOC and 41.7% (10/24) for ARNGS + SOC. There was not a significant difference in TRE or first-pass success rate between the two groups (p > 0.05). Needle repositions were significantly less when using the ARNGS + SOC (0.8 vs. 3.0, p = 0.01).

Conclusion: In a preclinical study, the ARNGS + SOC was as accurate and safe as SOC in needle targeting of implanted targets. A reduction in needle repositioning suggests its potential to streamline procedures and reduce the risk of complications. This novel image fusion method merits further evaluation.

Abstract Image

Abstract Image

猪模型中用于微创手术的增强现实增强超声针引导系统的体内评估:临床前比较研究。
目的:本研究比较了标准护理(SOC)超声和增强现实针导系统(ARNGS)辅助用于猪模型经皮置针的准确性、安全性和有效性。方法:4头活猪进行了模型创建过程,其中金属基准经皮植入肝脏(每只动物n = 8,共32)和肾脏(每只动物n = 4,共16)作为“病灶”。计算机断层扫描被用来创建解剖的三维体积图像。四名医生之前的ARNGS经验有限,并且对目标位置不知情,他们使用单独的SOC或ARNGS + SOC将针头定位在目标位置。结果:无不良事件发生。平均目标配准误差(TRE)为3.0 mm(95%置信区间[CI], 2.4-3.6 mm, n = 22),平均针深为8.0 cm;平均目标配准误差(TRE)为2.9 mm (95% CI, 2.2-3.5 mm, n = 24),平均针深为7.6 cm。SOC的首次尝试成功率为39.1%(9/23),而ARNGS + SOC的首次尝试成功率为41.7%(10/24)。两组患者的TRE及首次通过成功率比较,差异无统计学意义(p < 0.05)。使用ARNGS + SOC时,针头复位明显减少(0.8 vs. 3.0, p = 0.01)。结论:在临床前研究中,ARNGS + SOC与SOC一样准确、安全。针头重新定位的减少表明其具有简化程序和减少并发症风险的潜力。这种新的图像融合方法值得进一步评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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