Novel CT-based three-dimensional software improves the characterization of cam morphology. Academic Article uri icon

Overview

abstract

  • BACKGROUND: Incomplete correction of femoral offset and sphericity remains the leading cause for revision surgery for symptomatic femoroacetabular impingement (FAI). Because arthroscopic exploration is technically difficult, a detailed preoperative understanding of morphology is of paramount importance for preoperative decision-making. QUESTIONS/PURPOSES: The purposes of this study were to (1) characterize the size and location of peak cam deformity with a prototype CT-based software program; (2) compare software alpha angles with those obtained by plain radiograph and CT images; and (3) assess whether differences can be explained by variable measurement locations. METHODS: We retrospectively reviewed the preoperative plain radiographs and CT scans of 100 symptomatic cam lesions treated by arthroscopy; recorded alpha angle and clockface measurement location with a novel prototype CT-based software program, CT, and Dunn lateral plain radiographs; and used ordinary least squares regressions to assess the relationship between alpha angle and measurement location. RESULTS: The software determined a mean alpha angle of 70.8° at 1:23 o'clock and identified 60% of maximum alpha angles between 12:45 and 1:45. The CT and plain radiographs underestimated by 5.7° and 8.2°, respectively. The software-based location was anterosuperior to the mean CT and plain radiograph measurement locations by 41 and 97 minutes, respectively. Regression analysis confirmed a correlation between alpha angle differences and variable measurement locations. CONCLUSIONS: Software-based three-dimensional (3-D) imaging generated alpha angles larger than those found by plain radiograph and CT, and these differences were the result of location of measurement. An automated 3-D assessment that accurately describes the location and topography of FAI may be needed to adequately characterize preoperative deformity.

publication date

  • August 1, 2013

Research

keywords

  • Femoracetabular Impingement
  • Hip Joint
  • Imaging, Three-Dimensional
  • Radiographic Image Interpretation, Computer-Assisted
  • Software
  • Tomography, X-Ray Computed

Identity

PubMed Central ID

  • PMC3705074

Scopus Document Identifier

  • 84880318814

Digital Object Identifier (DOI)

  • 10.1007/s11999-013-2809-x

PubMed ID

  • 23361933

Additional Document Info

volume

  • 471

issue

  • 8