全息影像术中导航在泌尿外科腹腔镜和机器人手术中的应用价值

目的探讨全息影像术中导航在泌尿外科腹腔镜和机器人手术中的应用价值。方法回顾性分析2019年1—12月北京和睦家医院等19家医疗中心收治的86例患者的病例资料,临床诊断包括肾肿瘤78例,膀胱癌2例,肾上腺肿瘤2例,肾囊肿1例,前列腺癌1例,汗腺癌淋巴结转移1例,根治性膀胱切除术后盆腔转移瘤1例。其中,32例接受标准腹腔镜手术,分别为肾部分切除术(LPN)27例,根治性前列腺切除术1例,根治性膀胱切除术2例,肾上腺肿瘤切除术2例;54例接受达芬奇机器人手术,分别为肾部分切除术(RAPN)51例,腹膜后淋巴结清扫术1例,双侧肾囊肿去顶减压术1例,盆腔转移肿瘤切除术1例。两种术式的肾部分切除术患者中41例有可统计的临床数据,其中RAPN 23例,LPN 18例。男26例,女15例;中位年龄53.5(24~76)岁;中位R.E.N.A.L评分7.8(4~11)分。专业工程师根据86例术前增强CT检查图像和诊断报告重建全息影像。术前,全息影像可帮助术者对供应肿瘤或手术切除部位的动静脉血管、淋巴结和神经的立体空间结构及相互关系有更直观的认识,协助术前手术规划。在术中将全息影像与腹腔镜监视器中的术野图像进行实时追踪和融合,实现术中导航。结果本组86例手术均顺利完成。术中通过人工调整全息影像,可提示重要血管如肾动脉和肾静脉在体内的投影位置,帮助术者定位血管、淋巴结和其他重要解剖结构的位置,便于精准分离。本研究采用标准腹腔镜手术和达芬奇机器人手术的肾部分切除术患者中共41例有可统计的临床数据。41例中位手术时间140(50~225)min,其中RAPN为140(50~215)min,LPN为160(80~225)min;中位热缺血时间23(14~60)min,其中RAPN为21(17~40)min,LPN为25(14~60)min;中位出血量80(5~1200)ml,其中RAPN为150(30~1200)ml,LPN为50(5~1200)ml。术中无周围重要脏器损伤。2例LPN患者出现ClavienⅡ级并发症,1例出血1200 ml给予输血,另一例血肿未予处理,自行吸收。此2例分别为前、后肾门肿瘤,R.E.N.A.L评分均为11分。结论全息影像术中导航可协助术者在腹腔镜和机器人手术中对重要的解剖结构进行定位、识别,在减少术中组织和器官损伤、降低手术并发症和提高手术成功率方面有重要的应用价值。

Application of holographic image navigation in urological laparoscopic and robotic surgery

Objective To evaluate the clinical value of holographic image navigation in urological laparoscopic and robotic surgery.Methods The data of patients were reviewed retrospectively for whom accepted holographic image navigation laparoscopic and robotic surgery from Jan.2019 to Dec.2019 in Beijing United Family Hospital and other 18 medical centers,including 78 cases of renal tumor,2 cases of bladder cancer,2 cases of adrenal gland tumor,1 cases of renal cyst,1 case of prostate cancer,1 case of sweat gland carcinoma with lymph node metastasis,1 case of pelvic metastasis after radical cystectomy.All the patients underwent operations.In the laparoscopic surgery group,there were 27 cases of partial nephrectomy,1 case of radical prostatectomy,2 cases of radical cystectomy and 2 cases of adrenalectomy.In the da Vinci robotic surgery group of 54 cases,there were 51 cases of partial nephrectomy,1 case of retroperitoneal lymph node dissection,1 case of retroperitoneal bilateral renal cyst deroofing and 1 case of resection of pelvic metastasis.There were 41 partial nephrectomy patients with available clinical data for statistic,with a median age of 53.5 years(range 24-76),including 26 males and 15 females.The median R.E.N.A.L score was 7.8(range 4-11).Before the operation,the engineers established the holographic image based on the contrast CT images and reports.The surgeon applied the holographic image for preoperative planning.During the operation,the navigation was achieved by real time fusing holographic images with the laparoscopic surgery images in the screen.Results All the procedures had been complete uneventfully.The holographic images helped surgeon in understanding the visual three-dimension structure and relation of vessels supplying tumor or resection tissue,lymph nodes and nerves.By manipulating the holographic images extracorporeally,the fused image guide surgeons about location vessel,lymph node and other important structure and then facilitate the delicate dissection.For the 41 cases with available clinical data including 23 cases of robotic-assisted partial nephrectomy and 18 cases of laparoscopic nephrectomy,the median operation time was 140(range 50-225)min,the median warm ischemia time was 23(range 14-60)min,the median blood loss was 80(range 5-1200)ml.In the robotic surgery group,the median operation time was 140(range 50-215)min,the median warm ischemia time was 21(range 17-40)min,the median blood loss was 150(range 30-1200)ml.In the laparoscopic surgery group,the median operation time was 160(range 80-225)min,the median warm ischemia time was 25(range 14-60)min,the median blood loss was 50(range 5-1200)ml.All the patients had no adjacent organ injury during operation.There were 2 cases with ClavienⅡcomplications.One required transfusion and the other one suffered hematoma post-operation.However,the tumors were located in the renal hilus for these 2 cases and the R.E.N.A.L scores were both 11.Conclusions Holographic image navigation can help location and recognize important anatomic structures during the surgical procedures..This technique will reduce the tissue injury,decrease the complications and improve the success rate of surgery.