Datta Sanjit, Short Robert F, Milsom Jeffrey W, Martin Iii Charles, Gadodia Gaurav, Stefy Bailey Gabrielle, Weunski Crew, Evans Michael, Pua Bradley B
Department of Diagnostic Radiology, Interventional Radiology Section, City of Hope, Duarte, CA, USA.
Division of Interventional Radiology, Dayton Veterans Affairs Medical Center, Dayton, OH, USA.
J Minim Invasive Surg. 2025 Sep 15;28(3):122-129. doi: 10.7602/jmis.2025.28.3.122.
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.
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.
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 ( > 0.05). Needle repositions were significantly less when using the ARNGS + SOC (0.8 vs. 3.0, = 0.01).
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.
本研究比较了在猪模型中辅助使用标准护理(SOC)超声和增强现实针引导系统(ARNGS)进行经皮针穿刺置入的准确性、安全性和有效性。
对四只活猪进行模型创建程序,将金属基准物经皮植入肝脏(每只动物8个;共32个)和肾脏(每只动物4个;共16个)作为“病变”。使用计算机断层扫描创建解剖结构的三维容积图像。四名此前ARNGS经验有限且对目标位置不知情的医生,分别单独使用SOC或ARNGS + SOC将针定位到目标处。
未发生不良事件。单独使用SOC时平均目标配准误差(TRE)为3.0毫米(95%置信区间[CI],2.4 - 3.6毫米;n = 22)(平均针深度8.0厘米),使用ARNGS + SOC时为2.9毫米(95% CI,2.2 - 3.5毫米;n = 24)(平均针深度7.6厘米)。单独使用SOC的首次尝试成功率为39.1%(9/23),使用ARNGS + SOC的为41.7%(10/24)。两组之间的TRE或首次穿刺成功率无显著差异(> 0.05)。使用ARNGS + SOC时针的重新定位显著更少(0.8对3.0,P = 0.01)。
在一项临床前研究中,ARNGS + SOC在针对植入目标进行针穿刺定位时与SOC一样准确和安全。针重新定位的减少表明其有可能简化操作流程并降低并发症风险。这种新型图像融合方法值得进一步评估。