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Accuracy of leg length changes in total hip arthroplasty using a computed tomography-based augmented reality
Gai Kobayashi1, Shintaro Ichikawa1, Shine Tone1
1Department of Orthopaedic Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Archives of Orthopaedic and Trauma Surgery
|December 12, 2024
Summary
Computed tomography (CT)-based navigation with augmented reality (AR) technology accurately measures intra-operative leg length changes during total hip arthroplasty (THA). This 2D and 3D imaging approach helps prevent leg length discrepancies after surgery.
Area of Science:
- Orthopedic Surgery
- Medical Imaging
- Surgical Navigation
Background:
- Leg length discrepancies (LLD) after total hip arthroplasty (THA) can lead to poor patient outcomes and litigation.
- Accurate intra-operative leg length measurement is crucial for successful THA.
Purpose of the Study:
- To evaluate the accuracy of CT-based navigation with AR technology for measuring intra-operative leg length changes.
- To compare the accuracy of 2D and 3D measurements in assessing leg length changes during THA.
Main Methods:
- A study involving 71 patients (75 hips) undergoing primary cementless THA in the supine position.
- Utilized HoloNavi One system for intra-operative leg length change measurements.
- Assessed accuracy by comparing HoloNavi One measurements with 2D (anteroposterior radiography) and 3D (CT) measurements, analyzing absolute errors and correlations.
Main Results:
- The mean intra-operative leg length change measured by HoloNavi One was 6.5 ± 5.0 mm.
- Mean absolute errors were 2.3 ± 2.7 mm (vs. 2D) and 3.8 ± 3.3 mm (vs. 3D).
- 2D measurements showed significantly smaller absolute errors than 3D measurements (p < 0.01), with positive correlations found between all methods.
Conclusions:
- CT-based navigation with AR technology offers acceptable accuracy for measuring leg length changes during THA in the supine position.
- 2D measurements demonstrated higher accuracy compared to 3D measurements in this study.
- No significant factors affecting measurement error were identified through multivariate analysis.
