Literature DB >> 30135983

Clinical accuracy and precision of hip resurfacing arthroplasty using computed tomography-based navigation.

Ryuichi Sato1,2, Masaki Takao1,3, Hidetoshi Hamada3, Takashi Sakai3, Keishi Marumo2, Nobuhiko Sugano4,5.   

Abstract

PURPOSE: To avoid malalignment of components during hip resurfacing arthroplasty (HRA), we used a computed tomography (CT)-based navigation system for guidance. This study aimed to evaluate the clinical accuracy and precision of HRA performed using the CT-based navigation systems.
METHODS: HRA was performed on 17 hips guided by the CT-based navigation systems. We measured cup alignment deviation, deviation of the stem position, and alignment from the plan by image matching between pre-operative and post-operative CT images.
RESULTS: Cup anteversion was within 5° of that in the plan in all cases. Cup inclination was within 5° of that in the plan in 82.4% and within 10° in all cases. The angular difference of the stem was within 5° in all cases, and the entry point of the stem was within 4 mm in all cases.
CONCLUSION: The CT-based navigation system for HRA guided accurate component placement according to the plan.

Entities:  

Keywords:  Accuracy; Computed tomography; Computer-assisted orthopaedic surgery; Hip resurfacing arthroplasty; Navigation

Mesh:

Year:  2018        PMID: 30135983     DOI: 10.1007/s00264-018-4113-6

Source DB:  PubMed          Journal:  Int Orthop        ISSN: 0341-2695            Impact factor:   3.075


  2 in total

1.  Cup alignment in total hip arthroplasty using the muscle-sparing modified Watson-Jones approach-comparison between lateral and supine positions.

Authors:  Yuichi Kishimura; Yukihide Minoda; Shigekazu Mizokawa; Ryo Sugama; Yoichi Ohta; Hiroaki Nakamura
Journal:  Int Orthop       Date:  2019-03-06       Impact factor: 3.075

2.  Improving MiniHip femoral prosthesis positioning using a cross-laser projection system in total hip arthroplasty by an anterolateral supine approach.

Authors:  Hideki Fujii; Tetsuo Hayama; Toshiomi Abe; Motoi Takahashi; Yohei Matsushita; Ryuichi Sato; Takuya Otani; Mitsuru Saito
Journal:  Int J Med Robot       Date:  2021-01-09       Impact factor: 2.547

  2 in total

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