Related Experiment Video
Updated: May 12, 2025
The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
Published on: August 4, 2022
Application of artificial intelligence-based three dimensional digital reconstruction technology in precision
Qiang Zheng1, Hongjiang She1, Yifu Zhang1
1First People's Hospital of Zunyi City, Zunyi, China.
Insights
Artificial intelligence (AI) hip planning improves accuracy in complex total hip arthroplasty (THA) compared to traditional X-ray methods. This AI approach enhances prosthesis placement, reduces surgery time, and speeds up patient recovery.
Area of Science:
- Orthopedic Surgery
- Medical Imaging
- Artificial Intelligence
Background:
- Complex total hip arthroplasty (THA) presents challenges in preoperative planning.
- Accurate prosthesis size and position are critical for successful outcomes.
- Traditional X-ray templating has limitations in precision for complex cases.
Purpose of the Study:
- To evaluate the predictive accuracy of AI HIP for prosthesis size and position in complex THA.
- To compare AI HIP planning with conventional X-ray templating.
- To identify factors influencing the accuracy of AI HIP preoperative planning.
Main Methods:
- A comparative study involving 56 patients with complex hip diseases (April 2021-December 2023).
- Patients were divided into AI preoperative planning (n=29) and X-ray preoperative planning (n=27) groups.
- Postoperative X-rays assessed acetabular/femoral prosthesis accuracy, operative duration, blood loss, and patient-reported outcomes (Harris Hip Score, VAS pain).
Main Results:
- AI HIP demonstrated significantly higher accuracy in acetabular (75.9% vs 44.4%) and femoral (85.2% vs 59.3%) prosthesis placement compared to X-ray templating.
- The AI group experienced reduced operative time, blood loss, and improved early recovery and pain control.
- No significant differences were found in leg length discrepancy, femoral offset, or combined offset between the groups.
Conclusions:
- AI-based 3D planning is effective for preoperative planning in complex THA.
- AI HIP offers superior accuracy over X-ray templating for prosthesis measurement.
- AI HIP provides significant clinical benefits, including enhanced early postoperative recovery.
Purpose:
To evaluate the predictive ability of AI HIP in determining the size and position of prostheses during complex total hip arthroplasty (THA). Additionally, it investigates the factors influencing the accuracy of preoperative planning predictions.
Methods:
From April 2021 to December 2023, patients with complex hip joint diseases were divided into the AI preoperative planning group (n = 29) and the X-ray preoperative planning group (n = 27). Postoperative X-rays were used to measure acetabular anteversion angle, abduction angle, tip-to-sternum distance, intraoperative duration, blood loss, planning time, postoperative Harris Hip Scores (at 2 weeks, 3 months, and 6 months), and visual analogue scale (VAS) pain scores (at 2 weeks and at final follow-up) to analyze clinical outcomes.
Results:
On the acetabular side, the accuracy of AI preoperative planning was higher compared to X-ray preoperative planning (75.9% vs. 44.4%, P = 0.016). On the femoral side, AI preoperative planning also showed higher accuracy compared to X-ray preoperative planning (85.2% vs. 59.3%, P = 0.033). The AI preoperative planning group showed superior outcomes in terms of reducing bilateral leg length discrepancy (LLD), decreasing operative time and intraoperative blood loss, early postoperative recovery, and pain control compared to the X-ray preoperative planning group (P < 0.05). No significant differences were observed between the groups regarding bilateral femoral offset (FO) differences, bilateral combined offset (CO) differences, abduction angle, anteversion angle, or tip-to-sternum distance. Factors such as gender, age, affected side, comorbidities, body mass index (BMI) classification, bone mineral density did not affect the prediction accuracy of AI HIP preoperative planning.
Conclusion:
Artificial intelligence-based 3D planning can be effectively utilized for preoperative planning in complex THA. Compared to X-ray templating, AI demonstrates superior accuracy in prosthesis measurement and provides significant clinical benefits, particularly in early postoperative recovery.
