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评估交互式虚拟现实技术作为定位肾脏肿瘤的术前辅助手段。

Evaluation of Interactive Virtual Reality as a Preoperative Aid in Localizing Renal Tumors.

机构信息

Department of Urology, University of California, Irvine, Orange, California, USA.

出版信息

J Endourol. 2020 Nov;34(11):1180-1187. doi: 10.1089/end.2020.0234. Epub 2020 Jul 29.

Abstract

A detailed understanding of renal tumor anatomy is required to perform partial nephrectomy. We evaluated the utility of a CT-based interactive virtual reality (iVR) display to assist surgeons' understanding of the precise location of the renal tumor. CT scans and iVR models of 11 patients with a mean R.E.N.A.L. nephrometry score of 6.9 were evaluated. Seven faculty urologists and six urology residents reviewed CT scans and positioned each tumor onto a digital three-dimensional model of the same kidney, although without the tumor present. A week later, participants repeated the session using both iVR models and CT scans. For both time points, the overlap between the surgeon-inserted tumor and the actual tumor location was calculated. Participants answered a 1 to 10 Likert scale survey to gauge their understanding of renal and tumor anatomy based on CT alone CT+iVR. Median tumor overlap for the entire cohort was 28% after CT review and 42% after CT+iVR ( = 0.05); among faculty urologists, for CT+iVR CT alone, percentage overlap improved (47% 33%,  = 0.033) and the incidence of 0% overlap decreased (19%-4%,  = 0.024), respectively. Among residents, there was no significant difference for either percentage overlap or 0% overlap for CT CT+iVR. The percentage overlap for the two tumors with high R.E.N.A.L. nephrometry scores (i.e., 10) increased from 51% to 67% after using CT+iVR ( = 0.039). The combination of CT+iVR was an independent predictor of improved overlap CT alone (odds ratio 2.22, 95% confidence interval 1.04-4.78,  = 0.039). Faculty surgeons' survey responses showed an improved understanding of the tumor location and shape with the addition of iVR ( < 0.05). The addition of patient-specific iVR models to standard CT imaging improved the ability of faculty urologists to accurately configure the location of a renal tumor, and improved their understanding of tumor anatomy.

摘要

详细了解肾脏肿瘤解剖结构是进行部分肾切除术的必要条件。我们评估了基于 CT 的交互式虚拟现实(iVR)显示在帮助外科医生了解肾脏肿瘤的确切位置方面的效用。对 11 名平均 R.E.N.A.L. 肾脏肿瘤评分 6.9 的患者的 CT 扫描和 iVR 模型进行了评估。7 名外科医生和 6 名泌尿科住院医师评估了 CT 扫描并将每个肿瘤定位到同一肾脏的数字三维模型上,尽管模型上没有肿瘤。一周后,参与者使用 iVR 模型和 CT 扫描重复了该过程。对于这两个时间点,计算了外科医生插入的肿瘤与实际肿瘤位置之间的重叠程度。参与者根据 CT 扫描和 CT+iVR 评估了他们对肾脏和肿瘤解剖结构的理解程度,并在 1 到 10 的李克特量表上进行了回答。整个队列的中位肿瘤重叠率在 CT 扫描后为 28%,在 CT+iVR 后为 42%( = 0.05);在外科医生中,对于 CT+iVR CT 单独,重叠百分比提高(47% 33%,  = 0.033),0%重叠的发生率降低(19%-4%,  = 0.024)。对于住院医师,无论是 CT 扫描还是 CT+iVR,重叠百分比或 0%重叠都没有显著差异。两个 R.E.N.A.L. 肾脏肿瘤评分较高(即 10)的肿瘤的重叠百分比从使用 CT+iVR 后的 51%增加到 67%( = 0.039)。CT+iVR 的组合是改善 CT 扫描单独预测的独立预测因子(比值比 2.22,95%置信区间 1.04-4.78,  = 0.039)。外科医生的调查回复显示,添加 iVR 后,他们对肿瘤位置和形状的理解有所提高( < 0.05)。将患者特定的 iVR 模型添加到标准 CT 成像中提高了外科医生准确配置肾脏肿瘤位置的能力,并提高了他们对肿瘤解剖结构的理解。

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