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

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Path Planning for Multiple Targets for Cannula Flexible Needle With Variable-Curvature Trajectories 具有可变曲率轨迹的软管针多目标路径规划。
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2024-11-28 DOI: 10.1002/rcs.70010
He Zhang, Yan-Jiang Zhao, Yong-De Zhang, Lei Wang, Ye-Xin Jin, Yan-Yi Pei, Hui Gao

Background

Saturated biopsy is widely used in a histopathological examination of prostate biopsy surgery by expanding the target regions and the increasing the number of insertions.

Methods

The paper proposed a path planning algorithm for multiple targets with a single entry for a cannula flexible needle with variable curvatures. The algorithm is based on modified rapidly-exploring random trees (RRTs), and the variable-curvature motions of the flexible needle are used to achieve optimal path.

Results

The simulation results show that the algorithm has a better form of the paths. The experimental results of five trials showed that the error was 1.42 ± 1.57 mm (mean ± RMSE), and the maximum error was 1.8 mm, which proves high accuracy and effectiveness of the proposed path planning algorithm for multiple targets with a single entry.

Conclusions

This research provides a new solution for prostate saturated biopsy surgery and has high value in future clinical application.

背景:通过扩大目标区域和增加插入次数,饱和活检被广泛应用于前列腺活检手术的组织病理学检查:本文提出了一种针对多目标的路径规划算法,该算法适用于具有可变曲率的套管柔性针的单入口。该算法基于改进的快速探索随机树(RRTs),并利用柔性针的变曲率运动实现最优路径:仿真结果表明,该算法具有较好的路径形式。五次试验的实验结果表明,误差为 1.42 ± 1.57 mm(均值 ± RMSE),最大误差为 1.8 mm,这证明了所提出的路径规划算法对单次进入的多个目标具有较高的准确性和有效性:该研究为前列腺饱和活检手术提供了一种新的解决方案,具有很高的临床应用价值。
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引用次数: 0
Multi-Objective Safety-Enhanced Path Planning for the Anterior Part of a Flexible Ureteroscope in Robot-Assisted Surgery 机器人辅助手术中柔性输尿管镜前部的多目标安全增强路径规划
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2024-11-22 DOI: 10.1002/rcs.70007
Chongan Zhang, Zuoming Fu, Xiaoyue Liu, Guoqing Ding, Liping Qin, Peng Wang, Hong Zhang, Xuesong Ye

Background

In robot-assisted flexible ureteroscopy, planning a safety-enhanced path facilitates ureteroscope reaching the target safely and quickly. However, current methods rarely consider the safety impact caused by body motion of the anterior part, such as impingement on the lumen wall and sweeping motion risk, or the method can only be used in collision-free situations.

Methods

The kinematic model of the anterior part under C-shaped and S-shaped collision bending is first analysed. Considering the newly defined impingement cost and sweeping area, the differential evolution algorithm is adopted to optimise the path in the configuration space. Experiments were performed to verify the effectiveness of the method.

Results

Compared with the competing algorithm, the proposed algorithm reduced impingement cost and sweeping area by an average of 31.0% and 8.64%. Force measurement experiments verified the rationality of the impingement cost expression.

Conclusion

The experimental results proved the feasibility of the proposed path planning algorithm.

背景:在机器人辅助柔性输尿管镜检查中,规划安全增强路径有助于输尿管镜安全快速地到达目标。然而,目前的方法很少考虑前段身体运动造成的安全影响,如对管壁的撞击和扫动风险,或者该方法只能在无碰撞情况下使用:方法:首先分析了 C 形和 S 形碰撞弯曲下前部的运动学模型。考虑到新定义的撞击成本和横扫面积,采用微分进化算法优化配置空间中的路径。实验验证了该方法的有效性:结果:与竞争算法相比,所提出的算法平均降低了 31.0% 的撞击成本和 8.64% 的清扫面积。测力实验验证了撞击成本表达式的合理性:实验结果证明了所提路径规划算法的可行性。
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引用次数: 0
Validation of an Augmented Reality Based Functional Method to Determine and Render the Hip Rotation Centre During Total Hip Arthroplasty 验证基于增强现实的功能性方法,以确定和渲染全髋关节置换术中的髋关节旋转中心。
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2024-11-22 DOI: 10.1002/rcs.70011
Quentin Neuville, Taylor Frantz, Frederick Van Gestel, Bart Janssen, Jef Vandemeulebroucke, Johnny Duerinck, Thierry Scheerlinck

Background

We present a method to determine and visualise the functional centre of rotation (FCOR) of the hip during total hip arthroplasty using an augmented reality head mounted display (AR-HMD).

Methods

We developed software allowing a HoloLens to provide inside-out infrared tracking of markers affixed to cadaver femurs and 3D printed acetabuli. Two observers rotated 20 cadaver femurs twice in a matching cup, producing 80 measurements. The FCOR of the acetabulum and femoral head was determined based on the point cloud generated from the displacement of the femoral trackers to the acetabular tracker.

Results

Compared to the ground truth, the FCOR resulted in an absolute error of 2.9 ± 1.4 mm for the acetabulum and 2.9 ± 1.2 mm for the femur, with 95th percentiles below 5.6 and 4.7 mm.

Conclusion

The proposed AR-HMD system offers an accurate and reproducible way to determine the femoral and acetabular FCOR in an experimental setting.

背景:我们介绍了一种在全髋关节置换术中使用增强现实头戴式显示器(AR-HMD)确定和可视化髋关节功能旋转中心(FCOR)的方法:我们开发了一款软件,允许 HoloLens 对贴在尸体股骨和 3D 打印髋臼上的标记进行由内而外的红外跟踪。两名观察者在一个匹配杯中旋转 20 个尸体股骨两次,共进行了 80 次测量。髋臼和股骨头的 FCOR 是根据股骨追踪器与髋臼追踪器的位移所产生的点云确定的:与地面实况相比,髋臼和股骨的 FCOR 绝对误差分别为 2.9 ± 1.4 毫米和 2.9 ± 1.2 毫米,第 95 百分位数分别低于 5.6 毫米和 4.7 毫米:结论:拟议的 AR-HMD 系统为在实验环境中确定股骨和髋臼的 FCOR 提供了一种准确且可重复的方法。
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引用次数: 0
Improved DeTraC Binary Coyote Net-Based Multiple Instance Learning for Predicting Lymph Node Metastasis of Breast Cancer From Whole-Slide Pathological Images 基于DeTraC二元丛林狼网的改进型多实例学习,用于从整张病理图像预测乳腺癌淋巴结转移。
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2024-11-15 DOI: 10.1002/rcs.70009
M. Ramkumar, R. Sarath Kumar, R. Padmapriya, S. Balu Mahandiran

Background

Early detection of lymph node metastasis in breast cancer is vital for improving treatment outcomes and prognosis.

Methods

This study introduces an Improved Decompose, Transfer, and Compose Binary Coyote Net-based Multiple Instance Learning (ImDeTraC-BCNet-MIL) method for predicting lymph node metastasis from Whole Slide Images (WSIs) using multiple instance learning. The method involves segmenting WSIs into patches using Otsu and double-dimensional clustering techniques. The developed multiple instance learning approach introduces a paradigm into computational pathology by shaping pathological data and constructing features. ImDeTraC-BCNet-MIL was utilised for feature generation during both training and testing to differentiate lymph node metastasis in WSIs.

Results

The proposed model achieves the highest accuracy of 95.3% and 99.8%, precision values of 98% and 99.8%, and recall rates of 92.9% and 99.8% on the Camelyon16 and Camelyon17 datasets.

Conclusions

These findings underscore the effectiveness of ImDeTraC-BCNet-MIL in enhancing the early detection of lymph node metastasis in breast cancer.

背景:乳腺癌淋巴结转移的早期检测对改善治疗效果和预后至关重要:乳腺癌淋巴结转移的早期检测对于改善治疗效果和预后至关重要:本研究介绍了一种基于二元丛林狼网的改进分解、转移和组合多实例学习(ImDeTraC-BCNet-MIL)方法,该方法利用多实例学习从全切片图像(WSI)中预测淋巴结转移。该方法包括使用大津聚类和双维聚类技术将 WSI 分割成斑块。所开发的多实例学习方法通过塑造病理数据和构建特征,为计算病理学引入了一种范式。在训练和测试过程中,利用 ImDeTraC-BCNet-MIL 生成特征,以区分 WSI 中的淋巴结转移:结果:所提出的模型在 Camelyon16 和 Camelyon17 数据集上的准确率分别达到 95.3% 和 99.8%,精确率分别达到 98% 和 99.8%,召回率分别达到 92.9% 和 99.8%:这些研究结果证明了 ImDeTraC-BCNet-MIL 在提高乳腺癌淋巴结转移早期检测方面的有效性。
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引用次数: 0
DSA-Former: A Network of Hybrid Variable Structures for Liver and Liver Tumour Segmentation DSA-Former:用于肝脏和肝肿瘤分割的混合可变结构网络
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2024-11-13 DOI: 10.1002/rcs.70004
Jun Qin, Huizhen Luo, Fei He, Guihe Qin

Background

Accurately annotated CT images of liver tumours can effectively assist doctors in diagnosing and treating liver cancer. However, due to the relatively low density of the liver, its tumours, and surrounding tissues, as well as the existence of multi-scale problems, accurate automatic segmentation still faces challenges.

Methods

We propose a segmentation network DSA-Former that combines convolutional kernels and attention. By combining the morphological and edge features of liver tumour images, capture global/local features and key inter-layer information, and integrate attention mechanisms obtaining detailed information to improve segmentation accuracy.

Results

Compared to other methods, our approach demonstrates significant advantages in evaluation metrics such as the Dice coefficient, IOU, VOE, and HD95. Specifically, we achieve Dice coefficients of 96.8% for liver segmentation and 72.2% for liver tumour segmentation.

Conclusion

Our method offers enhanced precision in segmenting liver and liver tumour images, laying a robust foundation for liver cancer diagnosis and treatment.

背景:准确标注肝脏肿瘤 CT 图像可有效协助医生诊断和治疗肝癌。然而,由于肝脏、肿瘤和周围组织的密度相对较低,且存在多尺度问题,准确的自动分割仍面临挑战:我们提出了一种结合卷积核和注意力的分割网络 DSA-Former。方法:我们提出了一种结合卷积核和注意力的分割网络 DSA-Former,通过结合肝脏肿瘤图像的形态特征和边缘特征,捕捉全局/局部特征和层间关键信息,并结合注意力机制获取详细信息,从而提高分割精度:与其他方法相比,我们的方法在Dice系数、IOU、VOE和HD95等评价指标上具有显著优势。具体来说,我们的肝脏分割 Dice 系数达到 96.8%,肝脏肿瘤分割 Dice 系数达到 72.2%:结论:我们的方法提高了肝脏和肝脏肿瘤图像的分割精度,为肝癌的诊断和治疗奠定了坚实的基础。
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引用次数: 0
Robotic Assisted Ultrasound-Guided Endovascular Stent Implantation in a Vascular Model 血管模型中的机器人辅助超声引导血管内支架植入术。
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2024-11-06 DOI: 10.1002/rcs.70005
Alexandra Scheibert, Mark Preuss, Jonas Osburg, Floris Ernst, Markus Kleemann, Marco Horn

Background

Endovascular procedures are the preferred method for treating peripheral arterial disease. However, limited imaging options during these procedures, such as X-rays and contrast media, expose patients and healthcare professionals to potentially harmful radiation. This study introduces a robotic ultrasound system (RUSS) for navigating endovascular procedures in order to reduce radiation and provide additional information.

Methods

The RUSS comprises a seven-degree-of-freedom robotic arm that navigates an ultrasound transducer across a specific region of interest. The system is controlled by a self-programed software designed to navigate the robotic arm in a methodical and reproducible manner using a foot switch.

Results

An endovascular surgeon investigated the guidance and visibility of various guidewires and successfully implanted three stents in a vascular leg phantom using the RUSS without further radiation exposure.

Conclusions

The innovative set-up has several potential applications, including radiation-free endovascular procedures as well as health screening and diagnostic support in vascular medicine.

背景:血管内手术是治疗外周动脉疾病的首选方法。然而,在这些手术过程中,有限的成像选择(如 X 射线和造影剂)会使患者和医护人员暴露于潜在的有害辐射中。本研究介绍了一种用于血管内手术导航的机器人超声系统(RUSS),以减少辐射并提供更多信息:RUSS由一个七自由度的机械臂组成,它能引导超声波传感器穿过特定的感兴趣区域。该系统由一个自编程软件控制,该软件旨在通过脚踏开关有条不紊地以可重复的方式导航机械臂:结果:一名血管内科医生研究了各种导丝的引导和可视性,并使用 RUSS 成功地在一个血管腿部模型中植入了三个支架,而没有进一步的辐射暴露:该创新装置具有多种潜在应用,包括无辐射血管内手术以及血管医学中的健康检查和诊断支持。
{"title":"Robotic Assisted Ultrasound-Guided Endovascular Stent Implantation in a Vascular Model","authors":"Alexandra Scheibert,&nbsp;Mark Preuss,&nbsp;Jonas Osburg,&nbsp;Floris Ernst,&nbsp;Markus Kleemann,&nbsp;Marco Horn","doi":"10.1002/rcs.70005","DOIUrl":"10.1002/rcs.70005","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Endovascular procedures are the preferred method for treating peripheral arterial disease. However, limited imaging options during these procedures, such as X-rays and contrast media, expose patients and healthcare professionals to potentially harmful radiation. This study introduces a robotic ultrasound system (RUSS) for navigating endovascular procedures in order to reduce radiation and provide additional information.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The RUSS comprises a seven-degree-of-freedom robotic arm that navigates an ultrasound transducer across a specific region of interest. The system is controlled by a self-programed software designed to navigate the robotic arm in a methodical and reproducible manner using a foot switch.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>An endovascular surgeon investigated the guidance and visibility of various guidewires and successfully implanted three stents in a vascular leg phantom using the RUSS without further radiation exposure.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The innovative set-up has several potential applications, including radiation-free endovascular procedures as well as health screening and diagnostic support in vascular medicine.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"20 6","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rcs.70005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142585013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Automatic Landmark Detection for Preoperative Planning of High Tibial Osteotomy Using Traditional Feature Extraction and Deep Learning Methods 利用传统特征提取和深度学习方法为高胫骨截骨术的术前规划进行自动地标检测
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2024-11-04 DOI: 10.1002/rcs.70006
Jiaqi Han, Xinlong Ma, Yiou Lyu, Haohao Bai

Background

Automatic High Tibial Osteotomy (HTO) landmark detection methods promise to improve the effectiveness and standardisation of HTO preoperative planning. Unfortunately, due to the limited number of HTO datasets, existing methods are less robust when dealing with patients with varied deformities than traditional manual planning, severely limiting their clinical viability and application in practical surgical settings.

Methods

Here, we present a new HTO landmark detection framework using an integration of optimised heatmap-offset aggregation method and traditional feature extraction. Subjective and objective approaches were employed to reflect the final clinical acceptance of our model.

Results

Average Mean Absolute Error of prediction results compared to the surgeon's gold standard was 0.35° for the hip-knee-ankle angle. The objective score rated by surgeons reached 4.4 on a scale of 5.

Conclusion

The study demonstrated that the automatic detection method has great potential serving as an alternative to manual radiological analysis in practical surgical pre-operative planning.

背景:自动高胫骨截骨术(HTO)地标检测方法有望提高HTO术前规划的有效性和标准化。不幸的是,由于 HTO 数据集数量有限,现有方法在处理畸形各异的患者时不如传统人工规划方法稳健,严重限制了其在实际手术环境中的临床可行性和应用。我们采用了主观和客观的方法来反映我们模型的最终临床接受度:结果:与外科医生黄金标准相比,髋关节-膝关节-踝关节角度预测结果的平均绝对误差为 0.35°。外科医生的客观评分达到了 4.4 分(5 分制):研究表明,自动检测方法在实际手术术前规划中替代人工放射学分析的潜力巨大。
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引用次数: 0
Short-Term Surgical Outcomes After Robotic Liver Surgery: A Propensity-Score Matched Analysis With Conventional Open Liver Surgery at a High-Volume Centre in Denmark 机器人肝脏手术后的短期疗效:丹麦高容量中心与传统开放式肝脏手术的倾向分数匹配分析
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2024-10-19 DOI: 10.1002/rcs.70003
Daisuke Fukumori, Christoph Tschuor, Takashi Hamada, Nicolai Aagaard Schultz, Paul Suno Krohn, Stefan Burgdorf, Luit Penninga, Jan Henrik Storkholm, Christian Ross Pedersen, Jens Hillingsø, Lars Bo Svendsen, Peter Nørgaard Larsen

Background

The aim of this study was to investigate the perioperative outcomes of robotic liver surgery (RLS) and Open liver surgery (OLS) in a centre with a high number of operations.

Methods

A 1:1 propensity score matched (PSM) analysis of a retrospective database of RLS and OLS was performed. Cumulative sum (CUSUM) analysis was performed to identify learning curves.

Result

After PSM analysis, operative time was significantly longer in the RLS group (p < 0.001). Estimated blood loss was significantly lower in the RLS group (p < 0.001). Transfusion rates were significantly lower in the RLS group. The length of hospital stay was shorter in the RLS group (3.5vs6.3 days, p < 0.001). Readmission rates were significantly lower in the RLS group (p < 0.049). CUSUM analysis showed a learning curve for at least 8 low—intermediate RLS procedures and 27 advanced—Expert RLS procedures.

Conclusions

RLS has many advantages, including being safe to perform, less blood loss and faster postoperative recovery compared with OLS.

背景 本研究的目的是在一个手术量较大的中心调查机器人肝脏手术(RLS)和开放式肝脏手术(OLS)的围术期疗效。 方法 对RLS和OLS的回顾性数据库进行了1:1倾向得分匹配(PSM)分析。进行累积总和(CUSUM)分析以确定学习曲线。 结果 经过 PSM 分析,RLS 组的手术时间明显更长(p < 0.001)。RLS 组的估计失血量明显更少(p < 0.001)。RLS 组的输血率明显较低。RLS 组的住院时间更短(3.5 对 6.3 天,p < 0.001)。RLS 组的再入院率明显较低(p < 0.049)。CUSUM 分析显示,至少有 8 例低级-中级 RLS 手术和 27 例高级-专家级 RLS 手术存在学习曲线。 结论 与 OLS 相比,RLS 有很多优点,包括操作安全、失血少、术后恢复快。
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引用次数: 0
Subxiphoid Uniportal Robotic Assisted Right Upper Lobectomy in Swine: A Novel Technology 剑突下单门机器人辅助右上肺叶切除术:一项新技术
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2024-10-19 DOI: 10.1002/rcs.70000
Lei Lin, Zhao An, Xiaodong Yang, Yuming Zhu, Xiao Zhou

Background

Uniportal video assisted thoracoscopic surgery has become widely accepted with increasing subxiphoid approach for major pulmonary resections. The purpose of this study was to verify the safety and feasibility of a SHURUI single port (SP) Robotic Surgical System in subxiphoid right upper lobectomy.

Methods

Five swine models were used to perform subxiphoid right upper lobectomy with SHURUI SP Robotic Surgical System. Operation details were recorded to assess the safety and feasibility of the SHURUI system.

Results

Results showed that the operation success was 100%. The time from anaesthesia to complete docking of the robotic system was 30.0 (20.0, 36.0) minutes and the total operation time was 125.0 (62.0, 142.5) minutes. Blood loss during operation was 30.0 (25.0, 125.0) mL. No death or complications occurred during the operation.

Conclusions

Uniportal robotics assisted right upper lobectomy via subxiphoid approach with SHURUI system performed in this study preliminary showed its safety and feasibility.

背景单孔视频辅助胸腔镜手术已被广泛接受,剑突下肺大部切除术的方法越来越多。本研究旨在验证 SHURUI 单孔(SP)机器人手术系统在剑突下右上肺叶切除术中的安全性和可行性。 方法 使用五头猪模型,用 SHURUI SP 机器人手术系统进行剑突下右上肺叶切除术。记录手术细节以评估 SHURUI 系统的安全性和可行性。 结果 结果显示,手术成功率为 100%。从麻醉到机器人系统完全对接的时间为 30.0 (20.0, 36.0) 分钟,手术总时间为 125.0 (62.0, 142.5) 分钟。手术失血量为 30.0 (25.0, 125.0) mL。手术期间无死亡或并发症发生。 结论 通过剑突下入路使用 SHURUI 系统进行的单门机器人辅助右上肺叶切除术初步显示了其安全性和可行性。
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引用次数: 0
Minimally Invasive Pelvic and Acetabular Surgery: Case Report of a Robot-Assisted Osteosynthesis of an Open-Book Injury of the Pelvic Ring 微创骨盆和髋臼手术:骨盆环开放性损伤的机器人辅助骨合成术病例报告
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2024-10-19 DOI: 10.1002/rcs.70002
Markus A. Küper, Jonas Johannink, Bastian Amend, Tina Histing, Steven C. Herath

Background

In recent years, endoscopic treatment of pelvic ring injuries has emerged. In addition to the complex 3D anatomy of the bony pelvis, a particular challenge is its embedding in the surrounding soft tissue structures. It is known from other surgical specialties that the preparation can be facilitated by using surgical robot systems.

Materials and Methods

In a patient with an open-book injury of the pelvic ring, a symphysis plate was performed using the DaVinci system.

Results

We describe the robotic-assisted osteosynthesis on the anterior pelvic ring with available instruments.

Conclusion

The further development of minimally invasive surgical techniques is always linked to the development of new instruments. For trauma surgery, this means in particular the reduction of dislocated fractures. If appropriate techniques and instruments are developed here, minimally invasive treatment of injuries to the pelvic ring or acetabulum may represent an alternative to open procedures in the future.

背景 近年来,出现了骨盆环损伤的内窥镜治疗。除了骨盆复杂的三维解剖结构外,其嵌入周围软组织结构也是一项特殊挑战。根据其他外科专业的经验,使用手术机器人系统可以简化准备工作。 材料和方法 在一名骨盆环开放性损伤的患者身上,使用 DaVinci 系统进行了干骺板手术。 结果 我们描述了使用现有器械对骨盆前环进行机器人辅助骨合成的情况。 结论 微创手术技术的进一步发展总是与新器械的开发息息相关。对于创伤手术而言,这尤其意味着脱位骨折的复位。如果能开发出合适的技术和器械,骨盆环或髋臼损伤的微创治疗可能会成为未来开放手术的替代方案。
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引用次数: 0
期刊
International Journal of Medical Robotics and Computer Assisted Surgery
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