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Augmented reality in gynecologic laparoscopic surgery: development, evaluation of accuracy and clinical relevance of a device useful to identify ureters during surgery

机译:在妇科腹腔镜手术中的增强现实:开发,评估装置的准确性和临床相关性,用于识别手术中输尿管的装置

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Objective To develop and evaluate a non-invasive surgical assistance based on augmented reality (AR) in the detection of ureters on animal model. Method After an experimental prototyping step on two pigs to determine the optimal conditions for visualization of the ureter in AR, three pigs were operated three times at 1 week intervals. The intervention consisted of an identification of the ureter, with and without the assistance of AR. At the end of the intervention, a clip was placed on the AR-proposed ureter to evaluate its accuracy. By doing a cone beam computed tomography, we measured the distance between the contrasted ureter and the clips in the acquired volume. Thirteen videos were recorded, allowing subsequent evaluation of the clinical relevance of the device. Results The feasibility of the technique has been confirmed. The margin of error was 1.77 mm (+/- 1.56 mm) for ureter localization accuracy. In order to evaluate the perceived relevance and accuracy in the detection of AR-assisted ureter, 58 gynecological surgeons were shown the videos then questioned. Of the 754 responses obtained (13 videos x 58 surgeons), the ureter was identified in direct vision in 31.2% of cases versus 81.7% in AR (p value 3.62 x 10(-7)). When looking at pigs that had already had one or two operations, the ureter was identified in only 16% of cases with direct vision compared to 76.1% with AR (p-value 5.48 x 10(-19)). In addition, 67% of surgeons felt that AR allowed them to better identify the ureters and 61% that AR reconstruction was accurate. Conclusion This first AR device showed a satisfactory precision in the detection of ureters with a favorable opinion of surgeons. This surgical assistance system could be helpful in the performance of difficult procedures, for example in the case of patients, which have undergone multiple surgeries in the past.
机译:目的在检测动物模型中,基于增强现实(AR)制定和评估非侵入性手术辅助。在两只猪上进行实验原型的方法以确定AR中输尿管可视化的最佳条件,以1周间隔进行三次猪。干预由输尿管的鉴定,有和没有AR的帮助。在干预结束时,将夹子放置在Ar所提出的输尿管上以评估其准确性。通过进行锥形光束计算机断层扫描,我们测量了所获取的体积中对比输尿管和夹子之间的距离。记录了十三个视频,允许随后评估设备的临床相关性。结果证实了该技术的可行性。输尿管本地化精度为1.77 mm(+/- 1.56 mm)的误差余量。为了评估检测Ar辅助输尿管的感知相关性和准确性,显示了58个妇科外科医生,这些视频被质疑。在获得的754个反应中获得(13个视频x 58外科医生),在31.2%的病例中以81.7%的病例鉴定出输尿管(P值3.62 x 10(-7))。当看着已经进行了一两次操作的猪时,输尿管仅在16%的情况下鉴定出直接视力的案例,而AR的76.1%(p值5.48 x 10(-19))。此外,67%的外科医生觉得AR允许它们更好地识别AR重建准确的输尿管和61%。结论该第一AR器件在检测到外科医生有利的意见时呈现出令人满意的精度。这种手术辅助系统可能有助于难度的程序,例如在患者过去经历过多种手术的情况下。

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