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

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Robotic Assisted Minimally Invasive Coronary Revascularisation: Midterm Results 机器人辅助微创冠状动脉血管重建术:中期结果
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-05-05 DOI: 10.1002/rcs.70071
Gökhan Arslanhan, Zeynep Sıla Özcan, Şahin Şenay, Murat Baştopçu, Anıl Karaağaç, Muharrem Koçyiğit, Aleks Değirmencioğlu, Deniz Alis, Cem Alhan

Background

Robotic assistance has many advantages in minimally invasive coronary bypass surgery, such as the harvest of a longer portion of the LIMA in addition to the avoidance of sternotomy, thus offering a less invasive approach for multivessel revascularisation. We present the midterm clinical outcomes of robotic-assisted minimally invasive coronary bypass (RA-CABG) cases at our centre.

Methods

One hundred and fifty consecutive patients who underwent RA-CABG with preoperative computed tomography angiography guidance were studied. Robotic LIMA harvesting was performed. The main outcome measure of the study was the midterm survival and incidence of major adverse cardiovascular events (MACE) up to 5 years.

Results

The median follow-up was 19.8 months. In the Kaplan–Meier survival analysis, 1-year survival was 99.1% and 5-year survival was 97.5%. 1-year freedom from MACE was 97.3% and 5-year freedom from MACE was 95%.

Conclusions

Robotic-assisted minimally invasive coronary bypass surgery has safe midterm outcomes and can be performed with excellent results.

机器人辅助在微创冠状动脉搭桥手术中具有许多优势,例如除了避免胸骨切开术外,还可以收获较长的LIMA部分,从而为多血管重建术提供了一种侵入性较小的方法。我们介绍了我们中心机器人辅助微创冠状动脉搭桥(RA-CABG)病例的中期临床结果。方法对150例术前ct血管造影指导下行RA-CABG的患者进行回顾性分析。进行了机器人LIMA收获。该研究的主要结局指标是5年的中期生存和主要不良心血管事件(MACE)发生率。结果中位随访时间为19.8个月。Kaplan-Meier生存分析显示,1年生存率为99.1%,5年生存率为97.5%。1年无MACE者为97.3%,5年无MACE者为95%。结论机器人辅助微创冠状动脉搭桥手术中期预后安全,手术效果良好。
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引用次数: 0
Legal Implication in Utilizing Automated Robots: A Written Informed Consent Form Proposal 使用自动化机器人的法律含义:书面知情同意书提案
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-04-22 DOI: 10.1002/rcs.70064
Maria Teresa Contaldo, Sonia Triggiani, Giacomo Vignati, Daniele Bracchi, Gianpaolo Carrafiello

Background

Robotic systems enhance physicians' capabilities by replicating hand movements in real-time, ensuring precise control and a quick return to conventional procedures if patient safety is compromised. Physicians performing robot-assisted procedures bear ultimate responsibility, sharing potential liability with manufacturers for malfunctions.

Methods

This study, conducted by a transdisciplinary team of interventional radiologists and a legal expert, evaluates the integration of robotic systems in interventional radiology through a comprehensive literature review, addressing potential legal contingencies.

Results

This paper aims to define liability in this context and examines how workflows and doctor-patient relationships might be reshaped: patients must be informed about treatment options, including details about robot-assisted procedures and associated risks.

Conclusions

These systems could significantly impact interventional radiology practice. A dedicated informed consent process is necessary to ensure clear communication and protect the decision-making process and patient-centred care; thereby, an informed consent is proposed to comprehensively address these needs.

背景 机器人系统通过实时复制手部动作来提高医生的能力,确保精确控制,并在患者安全受到影响时迅速恢复到传统程序。执行机器人辅助手术的医生要承担最终责任,与制造商共同承担故障的潜在责任。 方法 本研究由介入放射学专家和法律专家组成的跨学科团队进行,通过全面的文献综述评估介入放射学中机器人系统的整合情况,解决潜在的法律突发事件。 结果 本文旨在界定这种情况下的责任,并探讨如何重塑工作流程和医患关系:必须告知患者治疗方案,包括机器人辅助手术的细节和相关风险。 结论 这些系统会对介入放射学实践产生重大影响。有必要制定专门的知情同意程序,以确保清晰的沟通,并保护决策过程和以患者为中心的护理;因此,建议制定知情同意程序,以全面满足这些需求。
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引用次数: 0
Evaluating Robotic-Assisted Total Knee Arthroplasty Compared to Conventional Methods: A Systematic Review of the Literature in the United States 与传统方法相比,评估机器人辅助全膝关节置换术:对美国文献的系统回顾
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-04-19 DOI: 10.1002/rcs.70067
Taylor McClennen, Brian Carvalho, Mohamed Yousef, David C. Ayers

Background

Robotic-assisted total knee arthroplasty (rTKA) offers a new method of surgical management for advanced arthritis of the knee. The objective of this review was to evaluate the current literature evidence comparing rTKA to conventional methods (cTKA) across multiple outcome measures.

Methods

PubMed was used to perform a review of articles that discussed outcomes of primary rTKA. Forty-four articles were selected.

Results

rTKA improves surgical precision and accuracy compared with cTKA, potentially leading to better functional outcomes and fewer complications. rTKA has longer intraoperative times and higher initial costs but leads to shorter hospital stays, lower readmission rates, reduced long-term costs and less revisions. Patient-reported outcomes for rTKA indicate less postoperative pain, reduced opioid use, and improved function.

Conclusions

rTKA may provide improved outcomes compared with cTKA. More robust clinical evidence from US-based multicenter prospective propensity matched trials is needed to fully delineate the long-term benefits and limitations of rTKA.

背景 机器人辅助全膝关节置换术(rTKA)为晚期膝关节炎的手术治疗提供了一种新方法。本综述旨在评估目前的文献证据,比较 rTKA 与传统方法(cTKA)在多种结果测量方面的差异。 方法 使用 PubMed 对讨论初级 rTKA 结果的文章进行综述。共筛选出 44 篇文章。 结果 与 cTKA 相比,rTKA 提高了手术的精确性和准确性,可能会带来更好的功能性结果和更少的并发症。rTKA 的术中时间更长,初始成本更高,但住院时间更短,再入院率更低,长期成本更低,翻修次数更少。患者报告的 rTKA 结果显示术后疼痛减轻、阿片类药物使用减少、功能改善。 结论 与 cTKA 相比,rTKA 可提供更好的疗效。需要从美国多中心前瞻性倾向匹配试验中获得更多可靠的临床证据,以全面界定 rTKA 的长期益处和局限性。
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引用次数: 0
Registration, Path Planning and Shape Reconstruction for Soft Tools in Robot-Assisted Intraluminal Procedures: A Review 机器人辅助腔内手术中软工具的配准、路径规划和形状重建综述
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-04-16 DOI: 10.1002/rcs.70066
Chongan Zhang, Xiaoyue Liu, Zuoming Fu, Guoqing Ding, Liping Qin, Peng Wang, Hong Zhang, Xuesong Ye

Background

Robot and navigation systems can relieve surgeon's difficulties in delicate and safe operation in tortuous lumens in traditional intraluminal procedures (IP). This paper aims to review the three key components of these systems: registration, path planning and shape reconstruction and highlight their limitations and future perspectives.

Methods

An electronic search for relevant studies was performed in Web of Science and Google scholar databases until 2024.

Results

As for 2D–3D registration in IP, we focused on analysing feature extraction. For path planning, this paper proposed a new classification method and focused on selection of planning space and the establishment of path cost. Regarding shape reconstruction, the pros and cons of existing methods are analysed and methods based on fibre optic sensors and electromagnetic (EM) tracking are focused on.

Conclusion

These three technologies in IP have made great progress, but there are still challenges that require further research.

机器人和导航系统可以减轻传统腔内手术中外科医生在弯曲腔内进行精细和安全操作的困难。本文旨在回顾这些系统的三个关键组成部分:配准、路径规划和形状重建,并强调它们的局限性和未来的展望。方法电子检索Web of Science和谷歌学者数据库至2024年的相关研究。结果对于IP的2D-3D配准,我们重点分析了特征提取。对于路径规划,本文提出了一种新的分类方法,重点关注规划空间的选择和路径成本的建立。在形状重建方面,分析了现有方法的优缺点,重点介绍了基于光纤传感器和电磁跟踪的形状重建方法。这三种技术在IP领域取得了很大的进步,但仍存在需要进一步研究的挑战。
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引用次数: 0
Development of a Cam-Based Minimally Invasive Surgical Instrument With Reduced Backlash 基于凸轮的微创手术器械的研制
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-04-13 DOI: 10.1002/rcs.70063
Jinhua Li, Yue Yu, Yuteng Bai, Chengcheng Cai, Xinquan Hao, Jianchang Zhao

Background

Due to the joint characteristics and friction, continuum surgical instruments based on hinge joints suffer from issues such as slack and hysteresis, which affect the control precision.

Methods

This study introduces cam-based surgical instruments. The variation in cable length during hinge joint rotation was analysed, prompting a redesign of the cam's outer contour. An experimental platform was built to compare the precision of the traditional circular wheel and the cam mechanism. A prototype of surgical instrument with the proposed design was constructed, which was also put into precision testing.

Results

According to the experimental results, the backlash of the cam mechanism was 82% lower than that of the circular wheel. The backlash of our surgical instrument was reduced by 60% at a 20-degree rotation.

Conclusions

This study shows great potential for improving the control precision of continuum surgical instruments with multiple pairs of hinge joints.

基于铰链关节的连续体手术器械由于关节的特性和摩擦,存在松弛和迟滞等问题,影响控制精度。方法介绍基于摄像头的手术器械。分析了铰链关节旋转过程中缆索长度的变化,从而重新设计了凸轮的外轮廓。建立了一个实验平台,对传统圆轮和凸轮机构的精度进行了比较。根据所提出的设计制作了手术器械样机,并进行了精密测试。结果实验结果表明,凸轮机构的侧隙比圆轮的侧隙小82%。我们的手术器械在旋转20度时的反弹减少了60%。结论本研究对提高多对铰链关节连续体手术器械的控制精度具有很大的潜力。
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引用次数: 0
RRM-TransUNet: Deep-Learning Driven Interactive Model for Precise Pancreas Segmentation in CT Images RRM-TransUNet: CT图像胰腺精确分割的深度学习驱动交互模型
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-04-10 DOI: 10.1002/rcs.70065
Yulan Wang, Weimin Liu, Peng Yu, Xin Huang, Junjun Pan

Background

Pancreatic diseases such as cancer and pancreatitis pose significant health risks. Early detection requires precise segmentation results. Fully automatic segmentation algorithms cannot integrate clinical expertise and correct output errors, while interactive methods can offer a better chance for higher accuracy and reliability.

Methods

We proposed a new network—RRM-TransUNet for the interactive pancreas segmentation task in CT images aiming to provide more reliable and precise results. The network incorporates Rotary Position Embedding, Root Mean Square Normalisation, and a Mixture of Experts mechanism. An intuitive interface is constructed for user-aided pancreas segmentation.

Results

RRM-TransUNet achieves outstanding performance on multiple datasets, with a Dice Similarity Coefficient (DSC) of 93.82% and an Average Symmetric Surface Distance error (ASSD) of 1.12 mm on MSD, 93.79%/1.15 mm on AMOS, and 93.68%/1.18 mm on AbdomenCT-1K.

Conclusion

Our method outperforms previous methods and provides doctors with an efficient and user-friendly interactive pancreas segmentation experience through the intuitive interface.

胰腺癌和胰腺炎等胰腺疾病对健康构成重大威胁。早期检测需要精确的分割结果。全自动分割算法无法整合临床专业知识和纠正输出错误,而交互式方法可以提供更高的准确性和可靠性。方法提出了一种新的rrm - transunet网络,用于CT图像的交互式胰腺分割任务,以提供更可靠和精确的结果。该网络结合了旋转位置嵌入、均方根归一化和混合专家机制。为用户辅助胰腺分割构建了直观的界面。结果RRM-TransUNet在多数据集上表现出色,在MSD上的骰子相似系数(DSC)为93.82%,平均对称表面距离误差(ASSD)为1.12 mm,在AMOS上为93.79%/1.15 mm,在腹部上为93.68%/1.18 mm。结论该方法优于以往的方法,通过直观的界面为医生提供了高效、友好的交互式胰腺分割体验。
{"title":"RRM-TransUNet: Deep-Learning Driven Interactive Model for Precise Pancreas Segmentation in CT Images","authors":"Yulan Wang,&nbsp;Weimin Liu,&nbsp;Peng Yu,&nbsp;Xin Huang,&nbsp;Junjun Pan","doi":"10.1002/rcs.70065","DOIUrl":"https://doi.org/10.1002/rcs.70065","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Pancreatic diseases such as cancer and pancreatitis pose significant health risks. Early detection requires precise segmentation results. Fully automatic segmentation algorithms cannot integrate clinical expertise and correct output errors, while interactive methods can offer a better chance for higher accuracy and reliability.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We proposed a new network—RRM-TransUNet for the interactive pancreas segmentation task in CT images aiming to provide more reliable and precise results. The network incorporates Rotary Position Embedding, Root Mean Square Normalisation, and a Mixture of Experts mechanism. An intuitive interface is constructed for user-aided pancreas segmentation.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>RRM-TransUNet achieves outstanding performance on multiple datasets, with a Dice Similarity Coefficient (DSC) of 93.82% and an Average Symmetric Surface Distance error (ASSD) of 1.12 mm on MSD, 93.79%/1.15 mm on AMOS, and 93.68%/1.18 mm on AbdomenCT-1K.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Our method outperforms previous methods and provides doctors with an efficient and user-friendly interactive pancreas segmentation experience through the intuitive interface.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"21 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Prostate Brachytherapy Robot Design and Puncture Control Strategy 前列腺近距离放射治疗机器人设计及穿刺控制策略研究
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-03-23 DOI: 10.1002/rcs.70059
Xuesong Dai, Yongde Zhang, Yue Sun

Background

In prostate brachytherapy, oblique-tip needles are frequently used to deliver radioactive seeds to the target area. These needles often experience deflection during insertion, leading to deviations from the planned trajectory and compromising treatment accuracy.

Method

This study did not involve human participants or animals, and therefore, ethics review and approval were not required. The proposed method combines preoperative needle trajectory planning with real-time intraoperative corrections, using an adaptive PID controller enhanced by reinforcement learning to adjust corrective forces during needle insertion.

Results

Experimental results demonstrated that the proposed method reduced the average seed implantation error to 1.92 mm, with a standard error of 0.56 mm. These findings indicate that the method minimises needle deflection and improves precision in seed implantation.

Conclusion

The proposed modular robotic system and puncture control method enhance the precision of seed implantation and show promise for improving treatment outcomes in prostate cancer therapy.

背景 在前列腺近距离放射治疗中,经常使用斜尖针将放射性粒子送入靶区。这些针在插入过程中经常出现偏移,导致偏离计划轨迹,影响治疗的准确性。 方法 本研究不涉及人类参与者或动物,因此无需伦理审查和批准。提出的方法结合了术前针头轨迹规划和术中实时校正,使用强化学习增强的自适应 PID 控制器在针头插入过程中调整校正力。 结果 实验结果表明,所提出的方法将种子植入的平均误差减少到 1.92 毫米,标准误差为 0.56 毫米。这些结果表明,该方法最大程度地减少了针的偏移,提高了种子植入的精确度。 结论 拟议的模块化机器人系统和穿刺控制方法提高了种子植入的精确度,有望改善前列腺癌治疗的疗效。
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引用次数: 0
First Case Series of Robotic-Assisted Hysterectomy Below the Bikini Line: ‘Diamond’ Port Placement Using the Hugo RAS System 第一例机器人辅助的比基尼线以下子宫切除术:使用Hugo RAS系统的“钻石”端口放置
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-03-16 DOI: 10.1002/rcs.70061
Ikuko Sakamoto, Yoshihiko Ito, Kosuke Matsuda, Takahiro Nozaki, Keiko Kagami

Background

Traditional robot-assisted hysterectomy port placement causes visible scarring. We developed a novel diamond-shaped lower abdominal port placement technique using the Hugo RAS System, designed to minimise scarring while maintaining surgical efficacy through the system's modular design.

Methods

We analysed records of 72 robot-assisted hysterectomies performed between November 2023 and August 2024, including six cases using diamond port placement. We evaluated demographics, operative metrics, complications, and pain scores.

Results

Median operative time was 70 min, with minimal blood loss and no complications. Postoperative pain scores at 24 h (median 2.5) were significantly lower than preoperative expectations (median 7.0, p = 0.00409).

Conclusions

The lower abdominal diamond port placement technique for Hugo RAS System hysterectomy appears safe and effective, potentially improving cosmetic outcomes while maintaining surgical efficiency.

传统的机器人辅助子宫切除术会造成明显的疤痕。我们使用Hugo RAS系统开发了一种新型的菱形下腹孔放置技术,通过系统的模块化设计,在保持手术效果的同时最大限度地减少疤痕。方法分析2023年11月至2024年8月期间进行的72例机器人辅助子宫切除术的记录,其中6例使用钻石端口放置。我们评估了人口统计学、手术指标、并发症和疼痛评分。结果中位手术时间70 min,出血量少,无并发症。术后24 h疼痛评分(中位数2.5)显著低于术前预期(中位数7.0,p = 0.00409)。结论下腹部钻石孔置入技术用于Hugo RAS系统子宫切除术安全有效,可在保持手术效率的同时改善美容效果。
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引用次数: 0
Sensorless Transparency Optimised Force Safety Guarantee Mechanism for Robot-Assisted Minimally Invasive Surgery 无传感器透明优化的机器人辅助微创手术力安全保障机制
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-03-13 DOI: 10.1002/rcs.70060
Fang Huang, Hongqiang Sang, Fen Liu, Rui Han

Background

Compared with traditional open surgery, robotic-assisted minimally invasive surgery lacks force sensing ability.

Methods

A sensorless transparency optimised force safety mechanism is put forward to improve the external force safety of the surgical robot in this paper. An improved fixed-time indirect adaptive fuzzy controller is proposed to approximate the unknown uncertainties in the dynamics of the patient-side manipulator. An online force simulation controller is designed based on the hierarchical force.

Results

Simulations and experiments demonstrate that the designed fixed-time indirect adaptive fuzzy controller exhibits excellent performance in trajectory tracking, fixed-time convergence, fuzzy approximation, and smooth control input. In addition, the online force simulation controller effectively decreases the force in the potentially unsafe area, thereby inhibiting the unsafe force.

Conclusions

This mechanism offers potential applications to improve the safety of external forces for the sensorless surgical robots.

背景与传统开放手术相比,机器人辅助微创手术缺乏力感知能力。方法提出一种无传感器透明优化力安全机构,提高手术机器人的外力安全性。针对患者侧机械臂动力学中的未知不确定性,提出了一种改进的定时间接自适应模糊控制器。设计了一种基于分层力的在线力仿真控制器。结果仿真和实验表明,所设计的定时间接自适应模糊控制器在轨迹跟踪、定时收敛、模糊逼近和控制输入平滑等方面具有良好的性能。此外,在线力仿真控制器有效地减小了潜在不安全区域的力,从而抑制了不安全力的产生。结论该机制为提高无传感器手术机器人的外力安全性提供了潜在的应用前景。
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引用次数: 0
Safety and Efficacy Clinical Trial of Robot-Assisted Prostate Biopsy Using a Hand-Held Robotic System 手持机器人辅助前列腺活检系统的安全性和有效性临床试验
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-03-10 DOI: 10.1002/rcs.70062
Wenhe Jiang, Yongzhuo Gao, Mingwei Wen, Qiangqiang Huang, Hui Dong, Huageng Liang, Dongmei Wu, Wei Dong

Background

Robotic systems are increasingly utilised to improve clinical outcomes in prostate interventions.

Methods

We enroled 20 patients to verify the clinical feasibility of transrectal ultrasound (TRUS)-guided robot-assisted prostate biopsy (PBx). For each patient, controlled trials of systematic 12-core PBx were initially conducted manually using a biopsy gun, followed by a 3-core cognitive fusion targeted biopsy performed by the hand-held robot.

Results

The targeting errors for robot-assisted biopsy and freehand biopsy were 3.71 ± 1.41 mm and 3.94 ± 1.49 mm, respectively. Their cancer core rates were 19.1% and 12.6%, and the average duration of each biopsy was 6.94 min and 1.62 min, respectively.

Conclusions

The robot's sampling success rate was lower than that of freehand with a biopsy gun in the clinical trial. However, robot-assisted PBx has shown improved cancer core rate, slightly enhanced surgical accuracy, and the capability to reach clinically significant tumours' 5 mm error range, all demonstrating its clinical value.

机器人系统越来越多地用于改善前列腺干预的临床结果。方法选取20例患者,验证经直肠超声(TRUS)引导下机器人辅助前列腺活检(PBx)的临床可行性。对于每位患者,系统的12核PBx对照试验最初使用活检枪手动进行,随后由手持机器人进行3核认知融合靶向活检。结果机器人辅助活检和徒手活检的靶位误差分别为3.71±1.41 mm和3.94±1.49 mm。他们的核心癌率分别为19.1%和12.6%,每次活检的平均时间分别为6.94分钟和1.62分钟。结论在临床试验中,机器人的取样成功率低于徒手活检枪的取样成功率。然而,机器人辅助PBx已经显示出癌症核心率的提高,手术精度的略微提高,以及达到临床显著肿瘤5毫米误差范围的能力,这些都证明了它的临床价值。
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引用次数: 0
期刊
International Journal of Medical Robotics and Computer Assisted Surgery
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