Factors Influencing Surgical Approach Choice in Total Hip Arthroplasty: An Initial Analysis Using Machine Learning Techniques
By
Meng Li
Yuanye Ge
Dalin Wang
Peng Li
Haoyan Sun
Xiang Zhang
Zhe Wang
July 21, 2026
Clinical Scorecard: Factors Influencing Surgical Approach Choice in Total Hip Arthroplasty: An Initial Analysis Using Machine Learning Techniques
At a Glance
Category Detail
Condition Total Hip Arthroplasty (THA) Key Mechanisms Comparison of direct anterior approach (DAA) versus posterolateral approach (PLA) in surgical selection. Target Population Patients undergoing primary unilateral THA, age ≥ 18 years. Care Setting Tertiary hospitals
Key Highlights
DAA group showed higher age, soft tissue thickness, neck-shaft angle, and femoral offset compared to PLA group. Univariate logistic regression identified age, neck-shaft angle, and femoral offset as significant factors for DAA selection. Machine learning model achieved an AUC of 0.938 and accuracy of 90.0% for predicting surgical approach. Guideline-Based Recommendations
Diagnosis
Assessment of preoperative clinical and radiographic parameters. Management
Consideration of patient-specific characteristics in surgical approach selection. Monitoring & Follow-up
Evaluation of postoperative outcomes related to surgical approach. Risks
Increased risk of postoperative dislocation with PLA due to incision of posterior capsule. Patient & Prescribing Data
98 patients who underwent primary THA.
Factors influencing approach selection include age, neck-shaft angle, and femoral offset.
Clinical Best Practices
Utilize machine learning methods to analyze complex relationships in surgical decision-making. Incorporate both clinical characteristics and radiographic parameters in preoperative planning. Related Resources & Content
