Zou Xin Chang, Xu Xiang Da, Huang Jian Biao, Chao Hai Chao, Zeng Tao
The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Department of Urology, Second Affiliated Hospital of Nanchang University, Nanchang, China.
Front Oncol. 2024 Nov 6;14:1478051. doi: 10.3389/fonc.2024.1478051. eCollection 2024.
Robot-assisted laparoscopic partial nephrectomy (RAPN) has become a key technology in the treatment of renal tumors. Effective preoperative planning and precise intraoperative navigation are critical to a successful surgical outcome. This study aimed to evaluate the clinical application value of mixed reality (MR) in robotic nephron-sparing partial nephrectomy for patients with renal tumors of different complexity based on the R.E.N.A.L. score.
A retrospective analysis was conducted on 68 eligible patients with renal cancer who underwent RAPN at The Second Affiliated Hospital of Nanchang University from January 2021 to December 2023, with postoperative pathology confirmation. Patients were divided into two groups: the MR group, with 28 cases, and the traditional imaging (control) group, with 40 cases. All patients underwent mid-abdominal CT plain scans and enhancements. The MR group utilized three-dimensional reconstruction of CT data and employed 3D tablets and HoloLens glasses for preoperative discussions, surgical planning, and intraoperative guidance. Collect clinical data and metrics to assess surgical outcomes, as well as evaluate performance in areas such as preoperative discussions, doctor-patient communication, surgical planning, and intraoperative navigation.
Compared to robot-assisted partial nephrectomy in the control group, the MR group experienced a reduction in operation time by approximately 30 min [(135.89 ± 23.494) min vs. (165.00 ± 34.320) min, P< 0.001)] and a decrease in ischemia time by around 2.5 min [(20.36 ± 3.956) min vs. (23.80± 6.889) min, P = 0.02)]. Within the subgroup with a R.E.N.A.L. score of less than 7 points, the MR group only showed a significant reduction in operation time [(134.55 ± 150.190) min vs. (150.19 ± 28.638) min, P = 0.045], with no notable differences in other parameters. For the subgroup with a R.E.N.A.L. score of 7 points or higher, the MR group exhibited shorter operation time [(140.83 ± 25.183) min vs. (195.77 ± 23.080) min, P< 0.001] and reduced warm ischemia time [(21.17 ± 2.714) min vs. (28.85 ± 7.570) min, P = 0.029]. Additionally, there was less estimated blood loss [(53.33 ± 5.164) min vs. (114.62 ± 80.376) min, P = 0.018]. All patients had negative resection margins, indicating equivalent therapeutic outcomes between the two groups.
In comparison to traditional RAPN, MR technology demonstrates the ability to decrease operation time and warm ischemia time all the while maintaining equivalent curative outcomes. Additionally, it enhances preoperative discussions, doctor-patient interactions, preoperative strategizing, and intraoperative navigation, particularly excelling in complex renal tumor cases of RAPN, where its benefits are most pronounced.
机器人辅助腹腔镜部分肾切除术(RAPN)已成为治疗肾肿瘤的关键技术。有效的术前规划和精确的术中导航对于手术成功至关重要。本研究旨在基于R.E.N.A.L.评分评估混合现实(MR)在不同复杂程度肾肿瘤患者的机器人保留肾单位部分肾切除术中的临床应用价值。
回顾性分析2021年1月至2023年12月在南昌大学第二附属医院接受RAPN且术后病理确诊的68例符合条件的肾癌患者。患者分为两组:MR组28例,传统影像(对照)组40例。所有患者均行上腹部CT平扫及增强扫描。MR组利用CT数据进行三维重建,并使用3D平板和HoloLens眼镜进行术前讨论、手术规划和术中指导。收集临床数据和指标以评估手术效果,并评估术前讨论、医患沟通、手术规划和术中导航等方面的表现。
与对照组的机器人辅助部分肾切除术相比,MR组手术时间缩短约30分钟[(135.89±23.494)分钟对(165.00±34.320)分钟,P<0.001],缺血时间减少约2.5分钟[(20.36±3.956)分钟对(23.80±6.889)分钟,P = 0.02]。在R.E.N.A.L.评分小于7分的亚组中,MR组仅手术时间显著缩短[(134.55±150.190)分钟对(150.19±28.638)分钟,P = 0.045],其他参数无显著差异。对于R.E.N.A.L.评分7分及以上的亚组,MR组手术时间更短[(140.83±25.183)分钟对(195.77±23.080)分钟,P<0.001],热缺血时间缩短[(21.17±2.714)分钟对(28.85±7.570)分钟,P = 0.029]。此外,估计失血量更少[(53.33±5.164)分钟对(114.62±80.376)分钟,P = 0.018]。所有患者切缘阴性,表明两组治疗效果相当。
与传统RAPN相比,MR技术能够缩短手术时间和热缺血时间,同时保持相当的治疗效果。此外,它还能加强术前讨论、医患互动、术前策略制定和术中导航,在RAPN复杂肾肿瘤病例中表现尤为突出,其优势最为明显。