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全息成像与机器人辅助部分肾切除术联合治疗肾门肿瘤。

Combination of holographic imaging with robotic partial nephrectomy for renal hilar tumor treatment.

机构信息

Department of Urology, Beijing United Family Hospital and Clinics, JiangTai Road, Chao Yang District, Beijing, 100015, China.

Department of Urology, Peking University Shougang Hospital, Peking University Wu Jieping Urology Center, Beijing, 100144, China.

出版信息

Int Urol Nephrol. 2022 Aug;54(8):1837-1844. doi: 10.1007/s11255-022-03228-y. Epub 2022 May 14.

Abstract

OBJECTIVES

To evaluate the clinical value of the holographic imaging technology in combination with robotic-assisted partial nephrectomy (RAPN) for renal hilar tumor treatment.

PATIENTS AND METHODS

From Dec. 2018 to Dec. 2021, patients diagnosed with renal hilar tumor were included in this retrospective study. Before the surgery, the engineers established the holographic image models based on the enhanced CT data. The models were used in patient consultation, pre-surgery planning and surgery simulation. During the RAPN, the navigation was achieved by real-time overlapping of the holographic images on the robotic surgery endoscopic views. The navigation technique helped the surgeon to identify the important anatomic structures such as tumor, renal vein, renal artery, and pelvis.

RESULTS

There were total of eight patients with renal hilar tumor who underwent RAPN combined with holographic imaging technique. The mean age was 57.3 years, the median ASA score was 2. The mean tumor size was 42.4 mm and the median RENAL Nephrometry score was 9.5. The clinical stages were cT1a (37.5%) and cT1b (62.5%). All the procedures were performed uneventfully by one surgeon. The mean operative time was 144.3 min, and the mean warm ischemia time was 27.9 min. The mean estimated blood loss was 86.3 ml. There was no conversion to open surgery or radical nephrectomy. There were no Clavien-Dindo ≥ 3 perioperative complications.

CONCLUSIONS

Using the holographic imaging technique, the pre-surgery planning, simulation of renal arterial clamp and excision of the tumor, and intraoperative navigation were feasible and helpful in facilitating RAPN.

摘要

目的

评估全息成像技术结合机器人辅助部分肾切除术(RAPN)治疗肾门肿瘤的临床价值。

患者与方法

本回顾性研究纳入了 2018 年 12 月至 2021 年 12 月期间被诊断为肾门肿瘤的患者。在手术前,工程师根据增强 CT 数据建立全息图像模型。这些模型用于患者咨询、术前规划和手术模拟。在 RAPN 中,通过实时重叠机器人手术内窥镜视图上的全息图像来实现导航。导航技术帮助外科医生识别肿瘤、肾静脉、肾动脉和肾盂等重要解剖结构。

结果

共有 8 例肾门肿瘤患者接受了 RAPN 联合全息成像技术。患者平均年龄为 57.3 岁,平均 ASA 评分为 2 分。肿瘤平均大小为 42.4mm,平均 RENAL 肾切除术评分 9.5 分。临床分期为 cT1a(37.5%)和 cT1b(62.5%)。所有手术均由一名外科医生顺利完成。手术时间平均为 144.3 分钟,热缺血时间平均为 27.9 分钟。平均估计出血量为 86.3ml。无中转开放手术或根治性肾切除术。无 Clavien-Dindo≥3 级围手术期并发症。

结论

使用全息成像技术,术前规划、模拟肾动脉夹闭和肿瘤切除以及术中导航是可行的,有助于促进 RAPN。

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