A new classification to characterize and predict treatment of acetabular bone defects

Arch Orthop Trauma Surg. 2024 Jul;144(7):2975-2981. doi: 10.1007/s00402-024-05327-0. Epub 2024 Jun 12.

Abstract

Background: The increasing amount of revision surgeries in total hip arthroplasty (THA) represents a burden for orthopedic surgeons given the complexity and unpredictability of this kind of surgery. The aim of the current study was to develop a new radiographic classification of acetabular bone defects stratify the severity of the lesion and to suggest the surgical strategy to address it.

Methods: Radiographs of 151 consecutive patients who underwent acetabular revision surgery in our institution were collected to develop a new classification that groups the acetabular bone defects in three zones (A, B and C). The performance to predict treatment and inter- and intra-rater agreement were evaluated.

Results: The ability of the newly proposed classification to predict treatment was 87.3% (k weighted: 0.65). The inter-rater reliability was 90.1% (k: 0.81), and the intra-rater reliability between the two sets of evaluations performed by the observer at 1-month distance was 97.5% (k: 0.94).

Conclusions: The newly proposed classification was able to characterize the extent of acetabular bone defects and predict pre-operatively the appropriate surgical treatment strategy in 87.3% of cases. It showed a strong agreement among raters and an almost perfect agreement among different measurements at 1 month distance. This new tool could be used in the preoperative assessment to drive the use of secondary level image examinations and the type of surgical management.

Keywords: Acetabular bone defects; Hip; Hip arthroplasty revision.

MeSH terms

  • Acetabulum* / diagnostic imaging
  • Acetabulum* / surgery
  • Adult
  • Aged
  • Aged, 80 and over
  • Arthroplasty, Replacement, Hip* / methods
  • Female
  • Humans
  • Male
  • Middle Aged
  • Observer Variation
  • Radiography
  • Reoperation* / statistics & numerical data
  • Reproducibility of Results
  • Retrospective Studies