与基于CT的机器人辅助系统相比,使用基于透视的机器人辅助全髋关节置换术系统一年后,髋关节特异性结果指标的改善幅度更大。

Christian B. Ong, Graham B. J. Buchan, Christian J. Hecht II, David Liu, Joshua Petterwood, Atul F. Kamath
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引用次数: 0

摘要

背景:本研究的目的是比较新型透视机器人辅助(FL-RTHA)系统和现有计算机断层扫描机器人辅助(CT-RTHA)系统一年的患者报告结果:方法:对 85 例连续的 FL-RTHA 和 125 例连续的 CT-RTHA 进行了回顾。结果包括术后一年的退伍军人兰德-12(VR-12)身体(PCS)/心理(MCS)、髋关节残疾和骨关节炎结果(HOOS)疼痛/身体功能(PS)/关节置换以及加州大学洛杉矶分校(UCLA)活动评分:与 CT-RTHA 组患者相比,FL-RTHA 组患者术前的 VR-12 PCS、HOOS 疼痛、HOOS-PS、HOOS-JR 和 UCLA 活动评分较低。FL-RTHA队列的HOOS-PS评分(-41.54 vs. -36.55;p = 0.028)比CT-RTHA队列有更大的改善。两组患者的术后主要并发症发生率相似,放射学结果相似:结论:与基于CT的机器人技术相比,基于透视的机器人系统可在一年内提高HOOS-PS。
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Use of a fluoroscopy-based robotic-assisted total hip arthroplasty system resulted in greater improvements in hip-specific outcome measures at one-year compared to a CT-based robotic-assisted system

Background

The purpose of this study was to compare one-year patient reported outcome measures between a novel fluoroscopy-based robotic-assisted (FL-RTHA) system and an existing computerised tomography-based robotic assisted (CT-RTHA) system.

Methods

A review of 85 consecutive FL-RTHA and 125 consecutive CT-RTHA was conducted. Outcomes included one-year post-operative Veterans RAND-12 (VR-12) Physical (PCS)/Mental (MCS), Hip Disability and Osteoarthritis Outcome (HOOS) Pain/Physical Function (PS)/Joint replacement, and University of California Los Angeles (UCLA) Activity scores.

Results

The FL-RTHA cohort had lower pre-operative VR-12 PCS, HOOS Pain, HOOS-PS, HOOS-JR, and UCLA Activity scores compared with patients in the CT-RTHA cohort. The FL-RTHA cohort reported greater improvements in HOOS-PS scores (−41.54 vs. −36.55; p = 0.028) than the CT-RTHA cohort. Both cohorts experienced similar rates of major post-operative complications, and had similar radiographic outcomes.

Conclusions

Use of the fluoroscopy-based robotic system resulted in greater improvements in HOOS-PS in one-year relative to the CT-based robotic technique.

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来源期刊
CiteScore
4.50
自引率
12.00%
发文量
131
审稿时长
6-12 weeks
期刊介绍: The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.
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