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.
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.
Authors: John C Clohisy; John C Carlisle; Robert Trousdale; Young-Jo Kim; Paul E Beaule; Patrick Morgan; Karen Steger-May; Perry L Schoenecker; Michael Millis Journal: Clin Orthop Relat Res Date: 2008-12-02 Impact factor: 4.176
Authors: James R Ross; Eric P Tannenbaum; Jeffrey J Nepple; Bryan T Kelly; Christopher M Larson; Asheesh Bedi Journal: Clin Orthop Relat Res Date: 2015-04 Impact factor: 4.176
Authors: Vasco V Mascarenhas; Paulo Rego; Pedro Dantas; Augusto Gaspar; Francisco Soldado; José G Consciência Journal: Eur Radiol Date: 2016-08-30 Impact factor: 5.315
Authors: Joel Wells; Jeffrey J Nepple; Karla Crook; James R Ross; Asheesh Bedi; Perry Schoenecker; John C Clohisy Journal: Clin Orthop Relat Res Date: 2017-04 Impact factor: 4.176