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International Journal of Medical Robotics and Computer Assisted Surgery最新文献

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Indocyanine Green–Guided Lymphadenectomy During Robot-Assisted Pylorus and Vagus Nerve Preserving Gastrectomy for Early Gastric Cancer: A Single-Centre Study 机器人辅助幽门和迷走神经保留胃切除术期间的吲哚菁绿引导淋巴结切除术:一项单中心研究
IF 2.1 3区 医学 Q2 SURGERY Pub Date : 2025-10-03 DOI: 10.1002/rcs.70116
Yichuan Fan, Chi Zhang, Pin Liang, Xiang Hu

Background

Near-infrared (NIR) fluorescence imaging with indocyanine green (ICG) has been recently introduced for lymphatic mapping in robotic gastrectomy.

Methods

Sixty-two patients with early gastric cancer (EGC) were divided into three groups, namely ICG-guided robotic group (G1; n = 18), conventional robotic group (G2; n = 24), and laparoscopic control group (control; n = 20). The primary endpoints were retrieved LNs, surgical outcomes, and postoperative complications.

Results

The G1 group retrieved more total LNs than the other two groups; however, this difference was not statistically significant (19.8 vs. 16.1 vs. 16.9, p = 0.197). However, there were statistical differences in perigastric LNs (15 vs. 10.5 vs. 11, p = 0.010). The G1 group had shorter surgical time than G2 (260 vs. 300 min, p < 0.05).

Conclusion

ICG guided technology aids in achieving a more precise regional LN dissection during robotic gastrectomy for EGC, and is a valuable advancement for gastric cancer surgery.

Clinical trial registration

Chinese Clinical Trial Registry (ChiCTR2500106082)

近红外(NIR)荧光成像与吲哚菁绿(ICG)最近被引入到机器人胃切除术的淋巴定位。方法将62例早期胃癌(EGC)患者分为ig引导机器人组(G1组,n = 18)、常规机器人组(G2组,n = 24)和腹腔镜对照组(对照组,n = 20)。主要终点为检索LNs、手术结果和术后并发症。结果G1组总回收量高于其他两组;然而,这一差异无统计学意义(19.8比16.1比16.9,p = 0.197)。然而,胃周ln有统计学差异(15 vs. 10.5 vs. 11, p = 0.010)。G1组手术时间短于G2组(260 vs 300 min, p < 0.05)。结论在机器人胃切除术中,ICG引导技术有助于实现更精确的区域淋巴结清扫,是胃癌手术的重要进展。中国临床试验注册中心(ChiCTR2500106082)
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引用次数: 0
Pure Robot-Assisted Uniportal Anatomical Lung Resection for Non-Small Cell Lung Cancer: Technical Aspects and Early Outcomes 纯机器人辅助单门解剖肺切除术治疗非小细胞肺癌:技术方面和早期结果
IF 2.1 3区 医学 Q2 SURGERY Pub Date : 2025-10-03 DOI: 10.1002/rcs.70114
Stefano Bongiolatti, Lavinia Gatteschi, Alessandro Gonfiotti, Giovanni Mugnaini, Simone Tombelli, Luca Voltolini

Objective

Minimally invasive anatomic lung resections are the standard for early non-small-cell lung cancer, and the robotic approach has gained popularity and the latest frontier is the uniportal robotic (uRATS) approach. The goal of our study is to share our series showing technical details, feasibility and early outcomes.

Methods

From December 2024, we started the uRATS programme for selected patients. Continuous and dichotomous variables were recorded about surgery and the perioperative period. Non-parametric tests were used to compare the data between uRATS and contemporary patients treated with robotic multiport RATS.

Results

In 4 months we performed two segmentectomies and five Lobectomy through uRATS, while one patient was converted due to incomplete fissure. No severe perioperative complications occurred and in the comparison with the multiport approach, no significant differences in operative time, conversions and complications were observed.

Conclusions

The Uniportal RATS approach was safe and feasible with adequate surgical and oncologic post-operative results.

目的微创解剖肺切除术是早期非小细胞肺癌的标准治疗方法,机器人入路越来越受欢迎,最新的前沿是单门机器人(uRATS)入路。我们研究的目的是分享我们展示技术细节、可行性和早期结果的系列。方法从2024年12月开始,对选定的患者开展uRATS项目。记录手术和围手术期的连续变量和二分类变量。采用非参数检验比较uRATS与采用机器人多端口RATS治疗的当代患者的数据。结果在4个月内,我们通过uRATS进行了2例节段切除术和5例肺叶切除术,其中1例患者因不完全性裂而转化。围手术期无严重并发症发生,与多口入路比较,手术时间、转位及并发症无明显差异。结论大鼠入路安全可行,手术及术后肿瘤效果良好。
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引用次数: 0
Magnification-Invariant Retinal Distance Estimation for Vitreoretinal Surgery Using a Laser Aiming Beam 用激光瞄准光束估计玻璃体视网膜手术的放大-不变视网膜距离
IF 2.1 3区 医学 Q2 SURGERY Pub Date : 2025-10-03 DOI: 10.1002/rcs.70113
Arpita Routray, Chaniya Jaroenkunathum, Sungwook Yang, Robert Maclachlan, Jennifer Adeghate, Marjan Fooladi, Joseph Martel, Cameron N. Riviere

Background

Virtual fixtures in robot-assisted retinal surgery require knowledge of the position of the retina with respect to the surgical tool to be effective. Retinal surface estimation is a difficult problem due to the lack of features in the captured microscope imagery and a complex light path. A laser aiming beam attached to the tool can be easily detected in the microscope imagery and provide valuable information about the location of the surface.

Methods

We propose using the area of a laser aiming beam attached to the surgical tool to determine the distance of the tool from the retina. This area was modified in accordance with the tool width to ensure independence from microscope magnification. Retinal distance is predicted using a dual Kalman filter that combines distance inferred from this metric with information from an optical tracker that tracks the position of the tool in a global coordinate system. This updates both the state and parameters of the system in parallel and allows us to predict retinal distance even with errors in initial parameters.

Results

The laser metric's independence from microscope magnification is demonstrated by plotting the metric at 3 different magnifications for a number of angles. We also predict the distance of the tool from the retina for various random angles at each magnification with median errors of less than 100 μm. Finally, we predict distance at each magnification during freehand motion and validate our results using a force sensor placed underneath the phantom.

Conclusions

Using the area of laser aiming beam attached to the surgical tool, our method can predict the distance of the surgical tool to the retina with errors that are acceptable for implementing virtual fixtures during robot-assisted retinal surgery. The predicted distance is also independent of microscope magnification and can work when initial parameters are not precisely known. Future work will involve adapting this method to in vivo environments and further reduction in prediction errors.

机器人辅助视网膜手术中的虚拟装置需要了解视网膜相对于手术工具的位置才能有效。由于捕获的显微镜图像缺乏特征和复杂的光路,视网膜表面估计是一个难题。附着在工具上的激光瞄准光束可以很容易地在显微镜图像中检测到,并提供有关表面位置的有价值的信息。方法我们建议使用附着在手术工具上的激光瞄准光束的面积来确定工具与视网膜的距离。根据刀具宽度对该区域进行修改,以确保不受显微镜放大的影响。使用双卡尔曼滤波器预测视网膜距离,该滤波器结合了从该度量推断的距离和来自光学跟踪器的信息,该跟踪器跟踪工具在全局坐标系中的位置。这同时更新了系统的状态和参数,使我们能够预测视网膜距离,即使初始参数有误差。结果通过绘制3种不同倍率下多个角度的激光度量值,证明了激光度量值与显微镜倍率的独立性。我们还预测了在每个放大倍数下工具与视网膜的距离,中值误差小于100 μm。最后,我们在徒手运动中预测每次放大的距离,并使用放置在幻影下面的力传感器验证我们的结果。结论利用附着在手术工具上的激光瞄准光束的面积,我们的方法可以预测手术工具到视网膜的距离,误差在机器人辅助视网膜手术中实施虚拟夹具时是可以接受的。预测距离也与显微镜的放大倍率无关,在初始参数不精确的情况下也可以工作。未来的工作将包括使这种方法适应体内环境,并进一步减少预测误差。
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引用次数: 0
A Review of Intraoperative Interactive Control Methods for Seeds Implantation Robots 种子植入机器人术中交互控制方法综述。
IF 2.1 3区 医学 Q2 SURGERY Pub Date : 2025-09-30 DOI: 10.1002/rcs.70111
Yongde Zhang, Haoran Qu, Chuang He, Xuequan Huang

Introduction

Radioactive particle implantation, as a new method of cancer treatment, has been widely used in the field of tumour treatment. However, the different information feedback caused by the differences in the intraoperative environment is easy to affect the control effect of the particle implantation robot.

Methods

This paper summarises the interactive control method of radioactive seeds implantation robot, and divides it into master and slave control technology, automatic control technology and intraoperative safety interaction technology according to the type of control means.

Results

The application of interactive control technology in radioactive particle implantation robots has benefitted from the progress of intraoperative information analysis technology, which has enabled more accurate control guidance.

Discussion

Although the interactive control technology of radioactive particle implantation robots still faces many challenges, with the continuous progress of intraoperative information analysis technology, its development potential is still huge.

放射性粒子植入作为一种新的肿瘤治疗方法,在肿瘤治疗领域得到了广泛的应用。然而,术中环境的差异导致的信息反馈不同,容易影响粒子植入机器人的控制效果。方法:总结放射性粒子植入机器人的交互控制方法,按控制手段的类型将其分为主从控制技术、自动控制技术和术中安全交互技术。结果:交互控制技术在放射性粒子植入机器人中的应用得益于术中信息分析技术的进步,使得控制引导更加精确。讨论:尽管放射性粒子植入机器人交互控制技术仍面临诸多挑战,但随着术中信息分析技术的不断进步,其发展潜力依然巨大。
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引用次数: 0
Potential of Guidewire-Clot Interaction Forces for Clot Detection in Robotic Mechanical Thrombectomy 导丝-血块相互作用力在机器人机械取栓中检测血块的潜力
IF 2.1 3区 医学 Q2 SURGERY Pub Date : 2025-09-26 DOI: 10.1002/rcs.70109
Evgenia Roussinova, Olivier Brina, William Galand, Philippe Reymond, Silvestro Micera, Paolo Machi, Mohamed Bouri

Background

Interventional neuroradiologists currently miss crucial information when facing an ischaemic stroke case as they cannot localise the thrombus precisely nor determine its mechanical properties, which are both important for the clot extraction procedure.

Methods

In this in vitro study, clot analogues of different stiffnesses and dimensions were inserted in an idealised arterial phantom using distinct insertion pressure levels. Guidewire-clot interaction forces were recorded using a robotic device equipped with a force sensor. A model-based clot detection method was developed.

Results

Clot stiffness, initial clot volume, and insertion pressure were all found to impact the guidewire-clot interaction forces. In detecting the clot's proximal and distal edges, we achieved success rates of 86.5% and 71.2%, respectively, within a tolerance of ± $pm $ 1.5 mm.

Conclusions

The study brings new perspectives for mechanical thrombectomy by demonstrating that multiple parameters influence the occlusion's mechanical state and by proposing algorithms for identifying the clot's extremities.

目前,介入神经放射科医生在面对缺血性中风病例时,由于无法精确定位血栓或确定其机械特性而错过了关键信息,而这两项对血栓提取过程都很重要。方法在体外研究中,采用不同的插入压力水平,将不同硬度和尺寸的凝块类似物插入理想的动脉假体中。使用配备力传感器的机器人装置记录导丝-凝块相互作用力。提出了一种基于模型的血块检测方法。结果血块刚度、初始血块体积和插入压力均影响导丝-血块相互作用力。在检测血栓近端和远端边缘时,我们的成功率分别为86.5%和71.2%,误差范围为±$pm $ 1.5 mm。结论本研究为机械取栓带来了新的视角,证明了多个参数会影响血栓的力学状态,并提出了识别血栓末端的算法。
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引用次数: 0
Modelling the Dynamics of the Remote Centre Mechanism in Single-Port Minimally Invasive Robot 单端口微创机器人远程中心机构动力学建模。
IF 2.1 3区 医学 Q2 SURGERY Pub Date : 2025-09-19 DOI: 10.1002/rcs.70105
Bainan Liu, Dongsheng Li, Bo Pan, Yue Ai, Wenpeng Gao, Yili Fu

Background

The single-port surgical robot can reduce incision size and accelerate postoperative recovery. This paper analyses the dynamic model of the remote centre mechanism (RCM) of the proposed single-port robot for force control.

Methods

This paper proposes a dynamic model identification method for the RCM with a minimal parameter set derived from its tree structure. A nonlinear friction model for the prismatic joints and corresponding identification method are introduced, and the parameter set is iteratively refined using iterative reweighted least squares (IRLS), sequential quadratic programming (SQP) and an outlier detection algorithm. An adaptive Kalman filter (AKF) is applied to suppress noise in position differentiation, ensuring smooth velocity and acceleration.

Results

The proposed method improves fitting accuracy and provides low-deviation predictions for cross-validation trajectory data.

Conclusions

The proposed method enhances modelling accuracy and noise suppression in single-port surgical robots.

Clinical Trial Registration

The authors declare that this research is not a clinical trial and is not registered with any clinical trial registry

背景:单端口手术机器人可以减小切口大小,加速术后恢复。本文分析了所提出的单端口机器人力控制远程中心机构的动力学模型。方法:提出了一种基于RCM树形结构的最小参数集的RCM动态模型识别方法。介绍了移动关节的非线性摩擦模型及其辨识方法,并利用迭代重加权最小二乘(IRLS)、顺序二次规划(SQP)和离群点检测算法对参数集进行了迭代细化。采用自适应卡尔曼滤波(AKF)抑制位置微分中的噪声,保证速度和加速度平稳。结果:提出的方法提高了拟合精度,为交叉验证轨迹数据提供了低偏差预测。结论:该方法提高了单孔手术机器人的建模精度和噪声抑制能力。临床试验注册:作者声明本研究不是临床试验,未在任何临床试验注册中心注册。
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引用次数: 0
Non-Right Renal Vein Occlusion: A Side Clamp Two-Step Technique for Robot-Assisted Laparoscopic Transposition of the Left Renal Vein in Nutcracker Syndrome 非右肾静脉阻塞:机器人辅助腹腔镜下左肾静脉转位的侧钳两步技术。
IF 2.1 3区 医学 Q2 SURGERY Pub Date : 2025-09-17 DOI: 10.1002/rcs.70110
JinBin Xu, GengGuo Deng, ZhanSen Huang, Sam Un Cheong, Zifeng Xu, Yuedian Ye, Weihao Liu, Xiaoming Li, Jiang Li, Qunxiong Huang, Tengcheng Li, Jinming Di

Objective

To evaluate the feasibility of a novel robotic-assisted laparoscopic technique—side clamp two-step vascular method—for left renal vein (LRV) transposition in nutcracker syndrome (NCS).

Methods

Between May and December 2023, three male NCS patients (median age: 14 years) underwent robot-assisted LRV transposition using the Di's technique. The key procedure included a side clamp two-step technique to selectively occlude the infrarenal inferior vena cava and LRV without right renal vein manipulation. Surgical outcomes, including operative time, blood loss, anastomosis duration, and postoperative complications, were retrospectively analysed.

Results

All procedures were successfully completed. Median operative time was 125 min, with LRV anastomosis completed in 23 min. Postoperative imaging confirmed the resolution of LRV compression, with pressure gradients reduced to < 3 mmHg. Symptoms resolved completely within 4 weeks.

Conclusions

The robotic-assisted side clamp two-step technique offers a minimally invasive alternative for LRV transposition in NCS, minimising vascular dissection and preserving right renal venous flow.

Trial Registration

This clinical trial has been registered in the Chinese Clinical Trial Registry (ChiCTR, registration number: ChiCTR2500099335).

目的:探讨机器人辅助腹腔镜下左肾静脉(LRV)转位治疗胡桃夹子综合征(NCS)的可行性。方法:在2023年5月至12月期间,3名男性NCS患者(中位年龄:14岁)使用Di's技术进行了机器人辅助的LRV转位。关键手术包括侧夹两步技术,选择性闭塞肾下腔静脉和LRV,无需右肾静脉操作。回顾性分析手术结果,包括手术时间、出血量、吻合时间和术后并发症。结果:所有手术均顺利完成。中位手术时间125 min, LRV吻合23 min完成。结论:机器人辅助侧夹两步技术为NCS中LRV转位提供了一种微创替代方案,可最大限度地减少血管剥离并保留右肾静脉流量。试验注册:本临床试验已在中国临床试验注册中心注册(ChiCTR,注册号:ChiCTR2500099335)。
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引用次数: 0
Measuring Abdominal Skin-Surface Distances Using Photos for Perforator Mapping Analysis—A Validation Study on 3D-Printed DIEP-Flap Models 利用照片测量腹部皮肤表面距离用于穿孔器测绘分析——3d打印diep -皮瓣模型的验证研究。
IF 2.1 3区 医学 Q2 SURGERY Pub Date : 2025-09-17 DOI: 10.1002/rcs.70108
Fabian N. Necker, David J. Cholok, Marc J. Fischer, Kyle Gifford, Chris Le Castillo, Michael Scholz, Michael Januszyk, Christoph W. Leuze, Bruce L. Daniel, Arash Momeni

Background

We present a novel method for accurately measuring skin-surface distances using standard smartphone photos and Photoshop, validated on 3D-printed DIEP-flap models and on calibration grid-patterns.

Materials and Methods

Distance measurements are acquired in Photoshop in a calibration plane between dots on a grid-pattern as well as between perforators on photos of 3D-printed models and compared against ground-truth. Margins of errors are calculated from fitted linear models.

Results

Submillimeter accuracy can be achieved within errors of ±0.45 mm (80% probability) and ±0.8 mm (95% probability) for measuring distances on the dot-grid. On the 3D-printed DIEP-models, distance measurements are accurate within ±1.75 mm (80% probability) and ±3.1 mm (95% probability).

Conclusions

We introduce a simple yet highly accurate technique to measure skin-surface distances using normal photos. Depending on the scenario, submillimeter or conservatively very low millimetre errors can be achieved, sufficiently accurate for clinical use, whilst maintaining topographic relationships of the measurements.

背景:我们提出了一种使用标准智能手机照片和Photoshop精确测量皮肤表面距离的新方法,并在3d打印的DIEP-flap模型和校准网格模式上进行了验证。材料和方法:在Photoshop中在一个校准平面上获取网格图案上点之间的距离测量值,以及3d打印模型照片上穿孔点之间的距离测量值,并与地面真实值进行比较。误差范围由拟合的线性模型计算。结果:在点网格上测量距离,精度可达亚毫米,误差范围分别为±0.45 mm(80%概率)和±0.8 mm(95%概率)。在3d打印的diep模型上,距离测量精度在±1.75 mm(80%概率)和±3.1 mm(95%概率)之间。结论:我们介绍了一种使用正常照片测量皮肤表面距离的简单而高精度的技术。根据不同的情况,可以实现亚毫米或保守的非常低的毫米误差,足够准确地用于临床使用,同时保持测量的地形关系。
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引用次数: 0
Robotic Single-Port Versus Robotic Single-Site Hysterectomy in Early Endometrial Cancer: A Case Control Study 早期子宫内膜癌的机器人单孔与机器人单部位子宫切除术:病例对照研究
IF 2.1 3区 医学 Q2 SURGERY Pub Date : 2025-09-15 DOI: 10.1002/rcs.70107
Riccardo Vizza, Giacomo Corrado, Valentina Bruno, Ermelinda Baiocco, Pier Carlo Zorzato, Stefano Uccella, Enrico Vizza

Objective

To compare surgical outcomes of robotic single-port (RSPH) versus single-site (RSSH) hysterectomy in early-stage endometrial cancer.

Methods

This is a retrospective case-control study, comparing surgical outcomes of RSPH (Cases) and RSSH (Controls) in early-stage endometrial cancer.

Results

Twenty-five women who underwent RSPH from June 2024 to November 2024 were matched with 50 historical RSSH controls treated at the same institution by the same surgical team between December 2011 and September 2014. Operation time was similar: 110 min in RSPH and 99 min in RSSH (p = 0.76). Blood loss was 50 mL in RSPH and 60 mL in RSSH (p = 0.14). Hospital stay was shorter in RSSH (3.5 days in RSPH and 3 days in RSSH, p = 0.001).

Conclusions

Our study confirms the safety and feasibility of RSPH for endometrial cancer without major differences from the RSSH in terms of surgical outcomes.

目的比较机器人单孔(RSPH)与单部位(RSSH)子宫切除术治疗早期子宫内膜癌的效果。方法采用回顾性病例对照研究,比较早期子宫内膜癌RSPH(病例)和RSSH(对照组)的手术效果。结果25例于2024年6月至2024年11月接受RSPH手术的女性与50例于2011年12月至2014年9月在同一机构由同一外科团队治疗的历史RSSH对照组进行匹配。手术时间相似:RSPH组为110 min, RSSH组为99 min (p = 0.76)。RSPH组失血量50 mL, RSSH组失血量60 mL (p = 0.14)。RSSH组住院时间较短(RSPH组为3.5 d, RSSH组为3 d, p = 0.001)。结论本研究证实了RSPH治疗子宫内膜癌的安全性和可行性,在手术结果方面与RSSH无明显差异。
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引用次数: 0
Parallel Cable-Driven Prostate Puncture Robot: Design and Performance Evaluation 平行缆索驱动前列腺穿刺机器人:设计与性能评估
IF 2.1 3区 医学 Q2 SURGERY Pub Date : 2025-09-07 DOI: 10.1002/rcs.70102
Yupeng Zou, Tianyu Lan, Yanxing Zhang, Xiaojing Lai, Zhishen Zhou, Changsheng Li

Background

The limited workspace and strong magnetic field inside MRI challenge the design of the prostate puncture robot. Simplifying the robot's structure is crucial.

Methods

This paper proposes a parallel cable-driven (PCD) prostate puncture robot, and conducts a preliminary material design. The kinematics, statics and stiffness models of the robot are established. The wrench-feasible workspace is also verified. Multibody simulation is used to analyse the robot's performance.

Results

Motion accuracy experiments were conducted in both planar and spatial configurations, followed by stiffness performance evaluation. During the phantom puncture experiment, the insertion point exhibited horizontal position errors of 0.35 mm and 0.4 mm.

Conclusion

The non-parallel cable-driven design not only simplifies the robotic structure for prostate puncture surgery but also ensures compatibility with strong magnetic fields. Furthermore, the robot exhibits high motion accuracy and superior stiffness performance.

磁共振成像有限的工作空间和强磁场对前列腺穿刺机器人的设计提出了挑战。简化机器人的结构至关重要。方法提出一种平行缆索驱动前列腺穿刺机器人,并进行初步材料设计。建立了机器人的运动学、静力学和刚度模型。还验证了扳手可行的工作空间。采用多体仿真对机器人的性能进行了分析。结果在平面构型和空间构型下进行了运动精度实验,并进行了刚度性能评价。在幻影穿刺实验中,插入点水平位置误差分别为0.35 mm和0.4 mm。结论非平行缆线驱动设计不仅简化了前列腺穿刺手术机器人的结构,而且保证了对强磁场的兼容性。此外,该机器人具有较高的运动精度和优越的刚度性能。
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引用次数: 0
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International Journal of Medical Robotics and Computer Assisted Surgery
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