Clinical and radiographic factors associated with surgical approach selection in total hip arthroplasty: a preliminary machine learning analysis - Scorecard - MDSpire

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

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Clinical Scorecard: Factors Influencing Surgical Approach Choice in Total Hip Arthroplasty: An Initial Analysis Using Machine Learning Techniques

At a Glance

CategoryDetail
ConditionTotal Hip Arthroplasty (THA)
Key MechanismsComparison of direct anterior approach (DAA) versus posterolateral approach (PLA) in surgical selection.
Target PopulationPatients undergoing primary unilateral THA, age ≥ 18 years.
Care SettingTertiary 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.

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