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Workspace and dexterity analysis of the hybrid mechanism master robot in Sinaflex robotic telesurgery system: An in vivo experiment Sinaflex机器人远程手术系统中混合机构主机器人的工作空间和灵活性分析:活体实验
IF 2.5 3区 医学 Q2 SURGERY Pub Date : 2024-01-12 DOI: 10.1002/rcs.2608
Mehrnaz Aghanouri, Hamid Moradi, Hossein A. Alibeik, Alireza Mirbagheri

Sinaflex robotic telesurgery system has been introduced recently to provide ergonomic postures for the surgeon along with dexterous workspace for robotic telesurgery. The robot is described, and the forward and inverse kinematics are derived and validated by an experiment. The robot and operational workspaces and their dexterity are investigated and compared using the data collected during a dog vasectomy robotic telesurgery by Sinaflex. According to the simulation results, the workspace of the end effector is as large as 914.56 × 105 mm3, which can completely cover the ergonomic human hand workspace. The dexterity of the robot for the total and operational workspace is 0.4557 and 0.6565, respectively. In terms of the workspace size and the amount of dexterity, Sinaflex master robot can be considered a good choice to fulfil the requirements of the surgeon side robot in robotic telesurgery systems.

最近推出的 Sinaflex 机器人远程手术系统为外科医生提供了符合人体工程学的姿势,同时为机器人远程手术提供了灵巧的工作空间。对机器人进行了描述,推导出了正向和反向运动学,并通过实验进行了验证。利用 Sinaflex 在狗输精管切除机器人远程手术中收集的数据,对机器人和操作工作空间及其灵巧性进行了研究和比较。根据模拟结果,末端效应器的工作空间大至 914.56 × 105 mm3,可以完全覆盖符合人体工程学的人手工作空间。机器人在总工作空间和操作工作空间的灵巧性分别为 0.4557 和 0.6565。就工作空间大小和灵巧程度而言,Sinaflex master 机器人是满足机器人远程手术系统中外科医生侧机器人要求的理想选择。
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引用次数: 0
Unveiling new patterns: A surgical deep learning model for intestinal obstruction management 揭示新模式:用于肠梗阻管理的外科深度学习模型
IF 2.5 3区 医学 Q2 SURGERY Pub Date : 2024-01-06 DOI: 10.1002/rcs.2620
Ozan Can Tatar, Mustafa Alper Akay, Elif Tatar, Semih Metin

Background

Swift and accurate decision-making is pivotal in managing intestinal obstructions. This study aims to integrate deep learning and surgical expertise to enhance decision-making in intestinal obstruction cases.

Methods

We developed a deep learning model based on the YOLOv8 framework, trained on a dataset of 700 images categorised into operated and non-operated groups, with surgical outcomes as ground truth. The model's performance was evaluated through standard metrics.

Results

At a confidence threshold of 0.5, the model demonstrated sensitivity of 83.33%, specificity of 78.26%, precision of 81.7%, recall of 75.1%, and [email protected] of 0.831.

Conclusions

The model exhibited promising outcomes in distinguishing operative and nonoperative management cases. The fusion of deep learning with surgical expertise enriches decision-making in intestinal obstruction management. The proposed model can assist surgeons in intricate scenarios such as intestinal obstruction management and promotes the synergy between technology and clinical acumen for advancing patient care.

背景 迅速而准确的决策是处理肠梗阻的关键。本研究旨在整合深度学习和外科专业知识,以提高肠梗阻病例的决策水平。 方法 我们在 YOLOv8 框架的基础上开发了一个深度学习模型,并在一个包含 700 张图像的数据集上进行了训练,这些图像被分为手术组和非手术组,并将手术结果作为基本事实。该模型的性能通过标准指标进行评估。 结果 在置信度阈值为 0.5 时,该模型的灵敏度为 83.33%,特异度为 78.26%,精确度为 81.7%,召回率为 75.1%,[email protected] 为 0.831。 结论 该模型在区分手术和非手术治疗病例方面表现出良好的效果。深度学习与外科专业知识的融合丰富了肠梗阻治疗的决策。所提出的模型可以帮助外科医生处理肠梗阻等复杂情况,并促进技术与临床智慧的协同作用,从而推动患者护理。
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引用次数: 0
Software-based method for automated intraoperative planning of Schoettle Point in surgical medial patellofemoral ligament reconstruction: A comparative validation study 基于软件的髌股内侧韧带重建手术术中 Schoettle Point 自动规划方法:比较验证研究
IF 2.5 3区 医学 Q2 SURGERY Pub Date : 2024-01-04 DOI: 10.1002/rcs.2607
Maxim Privalov, Florian Kordon, Holger Kunze, Nils Beisemann, Sven Yves Vetter, Jochen Franke, Paul Alfred Grützner, Benedict Swartman

Background

The aim of the study was to validate a software-based planning method for the Schoettle Point and to evaluate precision and time efficiency of its live overlay on the intraoperative X-ray.

Methods

A software-based method was compared with surgeons' manual planning in an inter- and intrarater study. Subsequently, K-wire placement was performed with and without an overlay of the planning. The time used and the precision achieved were statistically compared.

Results

The average deviation between the surgeons (1.68 mm; 2.26 mm) was greater than the discrepancy between the surgeons and the software-based planning (1.30 mm; 1.38 mm). In the intrarater comparison, software-based planning provided consistent results. Live overlay showed a significantly lower positioning error (0.9 ± 0.5 mm) compared with that without overlay (3.0 ± 1.4 mm, p = 0.000; 3.1 ± 1.4 mm, p = 0.001). Live overlay did not achieve a significant time gain (p = 0.393; p = 0.678).

Conclusion

The software-based planning and live overlay of the Schoettle Point improves surgical precision without negatively affecting time efficiency.

研究的目的是验证一种基于软件的 Schoettle Point 规划方法,并评估其在术中 X 光片上实时叠加的精确度和时间效率。
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引用次数: 0
Towards inferring positioning of straight cochlear-implant electrode arrays during insertion using real-time impedance sensing 利用实时阻抗感应推断插入过程中的直人工耳蜗电极阵列定位
IF 2.5 3区 医学 Q2 SURGERY Pub Date : 2024-01-04 DOI: 10.1002/rcs.2609
Katherine E. Riojas, Trevor L. Bruns, Josephine Granna, Miriam R. Smetak, Robert F. Labadie, Robert J. Webster III

Background

Cochlear-implant electrode arrays (EAs) are currently inserted with limited feedback, and impedance sensing has recently shown promise for EA localisation.

Methods

We investigate the use of impedance sensing to infer the progression of an EA during insertion.

Results

We show that the access resistance component of bipolar impedance sensing can detect when a straight EA reaches key anatomical locations in a plastic cochlea and when each electrode contact enters/exits the cochlea. We also demonstrate that dual-sided electrode contacts can provide useful proximity information and show the real-time relationship between impedance and wall proximity in a cadaveric cochlea for the first time.

Conclusion

The access resistance component of bipolar impedance sensing has high potential for estimating positioning information of EAs relative to anatomy during insertion. Main limitations of this work include using saline as a surrogate for human perilymph in ex vivo models and using only one type of EA.

目前,人工耳蜗电极阵列(EA)的插入反馈有限,而阻抗传感技术最近已显示出 EA 定位的前景。
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引用次数: 0
i-MYO: A multi-grasp prosthetic hand control system based on gaze movements, augmented reality, and myoelectric signals i-MYO:基于凝视运动、增强现实技术和肌电信号的多抓假手控制系统
IF 2.5 3区 医学 Q2 SURGERY Pub Date : 2023-12-30 DOI: 10.1002/rcs.2617
Chunyuan Shi, Jingdong Zhao, Dapeng Yang, Li Jiang

Background

Controlling a multi-grasp prosthetic hand still remains a challenge. This study explores the influence of merging gaze movements and augmented reality in bionics on improving prosthetic hand control.

Methods

A control system based on gaze movements, augmented reality, and myoelectric signals (i-MYO) was proposed. In the i-MYO, the GazeButton was introduced into the controller to detect the grasp-type intention from the eye-tracking signals, and the proportional velocity scheme based on the i-MYO was used to control hand movement.

Results

The able-bodied subjects with no prior training successfully transferred objects in 91.6% of the cases and switched the optimal grasp types in 97.5%. The patient could successfully trigger the EMG to control the hand holding the objects in 98.7% of trials in around 3.2 s and spend around 1.3 s switching the optimal grasp types in 99.2% of trials.

Conclusions

Merging gaze movements and augmented reality in bionics can widen the control bandwidth of prosthetic hand. With the help of i-MYO, the subjects can control a prosthetic hand using six grasp types if they can manipulate two muscle signals and gaze movement.

控制多抓假手仍然是一项挑战。本研究探讨了在仿生学中融合凝视运动和增强现实技术对改善假手控制的影响。
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引用次数: 0
An magnetic resonance conditional robot for lumbar spinal injection: Development and preliminary validation 用于腰椎注射的磁共振条件机器人:开发和初步验证
IF 2.5 3区 医学 Q2 SURGERY Pub Date : 2023-12-28 DOI: 10.1002/rcs.2618
Depeng Liu, Gang Li, Shuyuan Wang, Zixuan Liu, Yanzhou Wang, Laura Connolly, David E. Usevitch, Guofeng Shen, Kevin Cleary, Iulian Iordachita

Purpose

This work presents the design and preliminary validation of a Magnetic Resonance (MR) conditional robot for lumbar injection for the treatment of lower back pain.

Methods

This is a 4-degree-of-freedom (DOF) robot that is 200 × 230 × 130 mm3 in volume and has a mass of 0.8 kg. Its lightweight and compact features allow it to be directly affixed to patient's back, establishing a rigid connection, thus reducing positional errors caused by patient movements during treatment.

Results

To validate the positioning accuracy of the needle by the robot, an electromagnetic (EM) tracking system and a needle with an EM sensor embedded in the tip were used for the free space evaluation with position accuracy of 0.88 ± 0.46 mm and phantom mock insertions using the Loop-X CBCT scanner with target position accuracy of 3.62 ± 0.92 mm.

Conclusion

Preliminary experiments demonstrated that the proposed robot showed improvements and benefits in its rotation range, flexible needle adjustment, and sensor protection compared with previous and existing systems, offering broader clinical applications.

这项研究介绍了一种磁共振(MR)条件机器人的设计和初步验证,该机器人用于腰部注射治疗下背痛。
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引用次数: 0
Transformer-based 2D/3D medical image registration for X-ray to CT via anatomical features 基于变压器的二维/三维医学图像配准,通过解剖学特征将 X 光片配准到 CT
IF 2.5 3区 医学 Q2 SURGERY Pub Date : 2023-12-28 DOI: 10.1002/rcs.2619
Feng Qu, Min Zhang, Weili Shi, Wei He, Zhengang Jiang

Background

2D/3D medical image registration is one of the key technologies for surgical navigation systems to perform pose estimation and achieve accurate positioning, which still remains challenging. The purpose of this study is to introduce a new method for X-ray to CT 2D/3D registration and conduct a feasibility study.

Methods

In this study, a 2D/3D affine registration method based on feature point detection is investigated. It combines the morphological and edge features of spinal images to accurately extract feature points from the images, and uses graph neural networks to aggregate anatomical features of different points to increase the local detail information. Meanwhile, global and positional information are extracted by the Swin Transformer.

Results

The results indicate that the proposed method has shown improvements in both accuracy and success ratio compared with other methods. The mean target registration error value reached up to 0.31 mm; meanwhile, the runtime overhead was much lower, achieving an average runtime of about 0.6 s. This ultimately improves the registration accuracy and efficiency, demonstrating the effectiveness of the proposed method.

Conclusions

The proposed method can provide more comprehensive image information and shows good prospects for pose estimation and achieving accurate positioning in surgical navigation systems.

二维/三维医学影像配准是手术导航系统进行姿态估计和实现精确定位的关键技术之一,但这一技术仍具有挑战性。本研究旨在介绍一种新的 X 射线到 CT 2D/3D 配准方法,并进行可行性研究。
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引用次数: 0
Robotic-assisted burring in total hip replacement: A new surgical technique to optimise acetabular preparation 全髋关节置换术中的机器人辅助钻孔:优化髋臼准备的新手术技术
IF 2.5 3区 医学 Q2 SURGERY Pub Date : 2023-12-28 DOI: 10.1002/rcs.2615
Tiancheng Li, Peter Walker, Richardo Khonasty, Victor A. van de Graaf, Eric Yelf, Liang Zhao, Shoudong Huang

Background

In Total Hip replacement (THR) surgery, a critical step is to cut an accurate hemisphere into the acetabulum so that the component can be fitted accurately and obtain early stability. This study aims to determine whether burring rather than reaming the acetabulum can achieve greater accuracy in the creation of this hemisphere.

Methods

A preliminary robotic system was developed to demonstrate the feasibility of burring the acetabulum using the Universal Robot (UR10). The study will describe mechanical design, robot trajectory optimisation, control algorithm development, and results from phantom experiments compared with both robotic reaming and conventional reaming. The system was also tested in a cadaver experiment.

Results

The proposed robotic burring system can produce a surface in 2 min with an average error of 0.1 and 0.18 mm, when cutting polyurethane bone block #15 and #30, respectively. The performance was better than robotic reaming and conventional hand reaming.

Conclusion

The proposed robotic burring system outperformed robotic and conventional reaming methods to produce an accurate acetabular cavity. The findings show the potential usage of a robotic-assisted burring in THR for acetabular preparation.

在全髋关节置换(THR)手术中,一个关键步骤是在髋臼上切割出准确的半球形,以便准确安装组件并获得早期稳定性。本研究旨在确定在制作半球时,镗孔而非铰孔是否能获得更高的精确度。
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引用次数: 0
Accuracy and risk factors of Magerl screw placement in robot-assisted atlantoaxial surgery: A case series study 机器人辅助寰枢椎手术中 Magerl 螺钉置入的准确性和风险因素:病例系列研究
IF 2.5 3区 医学 Q2 SURGERY Pub Date : 2023-12-28 DOI: 10.1002/rcs.2603
Wu Jiayuan, Wei Yi, Duan Fangfang, He Da, Jiang Xieyuan, Tian Wei

Background

To assess the accuracy of robot-assisted Magerl screw placement and explore the factors affecting the accuracy.

Methods

A retrospective analysis of patients who underwent robot-assisted Magerl screw placement was performed. The accuracy of Magerl screw placement was evaluated according to the Gertzbein and Robbins scale.

Results

47 Magerl screws were placed in 24 consecutive patients. 32 Magerl screws were narrower than the C2 isthmus height and 26 of them were grade A. 15 Magerl screws were wider than the C2 isthmus height and all of them were grade B. Temporary fixation after decompression and a smaller difference between the C2 isthmus height and screw diameter were associated with a higher probability of cortical breach.

Conclusion

The accuracy of robot-assisted Magerl screw placement was excellent. Temporary fixation after decompression and a smaller difference between the C2 isthmus height and screw diameter increased the risk of cortical breach.

评估机器人辅助 Magerl 螺钉置入的准确性,并探讨影响准确性的因素。
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引用次数: 0
Design and evaluation of a wearable vascular interventional surgical robot system 可穿戴式血管介入手术机器人系统的设计与评估。
IF 2.5 3区 医学 Q2 SURGERY Pub Date : 2023-12-22 DOI: 10.1002/rcs.2616
Haoyang Yu, Hongbo Wang, Yu Rong, Junyu Fang, Jianye Niu

Background

Remote-controlled robotic vascular interventional surgery can reduce radiation exposure to interventional physicians and improve safety. However, inconvenient operation and lack of force feedback limit its application.

Materials and Methods

A new wearable robotic system for vascular interventional surgery is designed, which is more flexible in operation. It ensures the safety of surgery through haptic force feedback. The system was evaluated by human vascular models and animal experiments.

Results

The average static error of the system is 0.048 mm when the axial motion is 250 mm and 1.259° when the rotational motion is 400°. The average error of the force feedback is 0.021 N. The results of vascular model experiments and animal experiments demonstrate the feasibility and safety of the system.

Conclusions

The proposed robotic system can assist physicians in remotely delivering standard catheters or guidewires. The system is more flexible and uses haptic force feedback to ensure surgical safety.

背景:遥控机器人血管介入手术可减少介入医生的辐射暴露并提高安全性。然而,操作不便和缺乏力反馈限制了其应用:设计了一种新型可穿戴式血管介入手术机器人系统,其操作更加灵活。材料:设计了一种用于血管介入手术的新型可穿戴机器人系统,该系统操作更灵活,通过触觉力反馈确保手术安全。该系统通过人体血管模型和动物实验进行了评估:结果:当轴向运动为 250 mm 时,系统的平均静态误差为 0.048 mm;当旋转运动为 400° 时,系统的平均静态误差为 1.259°;力反馈的平均误差为 0.021 N:结论:拟议的机器人系统可协助医生远程递送标准导管或导丝。该系统更加灵活,并利用触觉力反馈确保手术安全。
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引用次数: 0
期刊
International Journal of Medical Robotics and Computer Assisted Surgery
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