Impact of Prior Computed Tomography-Based Navigation Experience on Cup-Placement Accuracy in Early Cases of Robotic Arm-Assisted Total Hip Arthroplasty via Direct Anterior Approach: A Retrospective Cohort Study

IF 2.3 3区医学 Q2 SURGERY International Journal of Medical Robotics and Computer Assisted Surgery Pub Date : 2025-03-06 DOI:10.1002/rcs.70058

Tomoya Okazaki, Takashi Imagama, Hiroshi Tanaka, Eiichi Shiigi, Yuta Matsuki, Takehiro Kaneoka, Takehiro Kawakami, Kazuhiro Yamazaki, Kei Sasaki, Takashi Sakai

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Abstract

Background

The present study aimed to examine the impact of prior experience of computed tomography-based navigated THA (CTN-THA) on the accuracy of cup placement in robotic arm-assisted total hip arthroplasty via direct anterior approach using the Mako system (Mako-THA).

Methods

We evaluated the first 60 hips that underwent Mako-THA performed by surgeons with and without CTN-THA experience and compared the absolute error of pre-operative and post-operative cup placement using a three-dimensional template between the two groups.

Results

The CTN-user group demonstrated significantly better results in radiographic inclination, y-(sagittal) axis placement, and z-(vertical) axis placement than the non-CTN-user group (CTN-user group: 1.0° ± 0.9°, 1.5 ± 1.4 mm, and 1.4 ± 1.1 mm, respectively; non-CTN-user group: 2.2° ± 1.8°, 2.3 ± 1.2 mm, and 2.4 ± 1.4 mm, respectively). There was no significant difference in radiographic anteversion (CTN-user group: 1.4° ± 1.4° vs. non-CTN-user group: 1.9° ± 1.8°).

Conclusions

Surgeons with prior CTN-THA experience achieved higher accuracy in cup placement than surgeons without CTN-THA experience.

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来源期刊

International Journal of Medical Robotics and Computer Assisted Surgery 医学-外科

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.