Edwin R Cadet1, Oladapo M Babatunde2, Prakash Gorroochurn3, Andrew K Chan2, Agata Stancato-Pasik4, Marc Brown4, Skylar Johnson2, Philip Burns Kaiser2, Thomas R Gardner2, Olufemi R Ayeni5. 1. Raleigh Orthopaedic Clinic, 3001 Edwards Mill, Raleigh, NC, 27612, USA. ecadet@raleighortho.com. 2. Department of Orthopaedic Surgery, New York Presbyterian Hospital-Columbia University Medical Center, 622 W 168th Street, PH-11, New York, NY, 10032, USA. 3. Department of Biostatistics, Mailman School of Public Health, Columbia University, 722 W. 168th Street, R620, New York, NY, 10032, USA. 4. Department of Radiology, Columbia University, 630 W 168th St Suite MC28, New York, NY, 10032, USA. 5. MacSports at McMaster University, 1200 Main Street West, Room 4E17, Hamilton, ON, L8S 4L8, Canada.
Abstract
PURPOSE: The purpose of our study was to investigate whether advanced, 3D computed tomographic (CT)-generated hip models improves inter-and intra-observer agreement when compared to plain radiographs in identifying femoroacetabular impingement (FAI) morphology. METHODS: Eight consecutive patients who underwent surgery for FAI pathology were selected for this study. Preoperative CT scan image data were used to create high resolution, 3D hip reconstruction models. Four observers (two attending hip surgeons and radiologists) performed a blinded review of preselected radiographs and 3D CT hip models. Alpha and lateral center-edge angle measurements, location of cam lesion and the presence of a "crossover sign" were assessed. Inter- and intra-observer agreement was determined by calculating the intra-class correlation coefficients (ICC) or kappa coefficients to evaluate agreement for categorical variables. RESULTS: The parameter that demonstrated the highest and poorest inter-observer agreement was the presence of a "crossover sign" using 3D CT-generated high resolution hip models (ICC = 0.76, p = 0.00) and anteroposterior pelvis radiography, respectively (ICC = 0.20, p = 0.02). Alpha angle values were significantly higher using plain radiographs when compared to 3D hip reconstruction models (61.1° ± 10.4° versus 55.4° ± 14.4°, p = 0.003). Furthermore, when compared to radiographs, 3D hip reconstruction models demonstrated significantly higher intra-observer agreement (ICC = 0.856 versus 0.405, p = 0.005) when determining the presence of a "crossover sign". CONCLUSIONS: Our findings were suggestive that for most commonly used FAI morphology parameters, CT-generated hip models demonstrated little benefit over plain radiographs in improving inter-observer agreement among providers. LEVEL OF EVIDENCE: III.
PURPOSE: The purpose of our study was to investigate whether advanced, 3D computed tomographic (CT)-generated hip models improves inter-and intra-observer agreement when compared to plain radiographs in identifying femoroacetabular impingement (FAI) morphology. METHODS: Eight consecutive patients who underwent surgery for FAI pathology were selected for this study. Preoperative CT scan image data were used to create high resolution, 3D hip reconstruction models. Four observers (two attending hip surgeons and radiologists) performed a blinded review of preselected radiographs and 3D CT hip models. Alpha and lateral center-edge angle measurements, location of cam lesion and the presence of a "crossover sign" were assessed. Inter- and intra-observer agreement was determined by calculating the intra-class correlation coefficients (ICC) or kappa coefficients to evaluate agreement for categorical variables. RESULTS: The parameter that demonstrated the highest and poorest inter-observer agreement was the presence of a "crossover sign" using 3D CT-generated high resolution hip models (ICC = 0.76, p = 0.00) and anteroposterior pelvis radiography, respectively (ICC = 0.20, p = 0.02). Alpha angle values were significantly higher using plain radiographs when compared to 3D hip reconstruction models (61.1° ± 10.4° versus 55.4° ± 14.4°, p = 0.003). Furthermore, when compared to radiographs, 3D hip reconstruction models demonstrated significantly higher intra-observer agreement (ICC = 0.856 versus 0.405, p = 0.005) when determining the presence of a "crossover sign". CONCLUSIONS: Our findings were suggestive that for most commonly used FAI morphology parameters, CT-generated hip models demonstrated little benefit over plain radiographs in improving inter-observer agreement among providers. LEVEL OF EVIDENCE: III.
Authors: Fabian Kalberer; Rafael J Sierra; Sanjeev S Madan; Reinhold Ganz; Michael Leunig Journal: Clin Orthop Relat Res Date: 2008-02-10 Impact factor: 4.176
Authors: Moritz Tannast; Sapan Mistry; Simon D Steppacher; Stephan Reichenbach; Frank Langlotz; Klaus A Siebenrock; Guoyan Zheng Journal: J Orthop Res Date: 2008-09 Impact factor: 3.494
Authors: John C Clohisy; John C Carlisle; Paul E Beaulé; Young-Jo Kim; Robert T Trousdale; Rafael J Sierra; Michael Leunig; Perry L Schoenecker; Michael B Millis Journal: J Bone Joint Surg Am Date: 2008-11 Impact factor: 5.284
Authors: Chris D Bryce; Jason L Pennypacker; Nikhil Kulkarni; Emmanuel M Paul; Christopher S Hollenbeak; Timothy J Mosher; April D Armstrong Journal: J Shoulder Elbow Surg Date: 2008-05-19 Impact factor: 3.019
Authors: Olufemi R Ayeni; Kevin Chan; Daniel B Whelan; Rajiv Gandhi; Dale Williams; Srinivasan Harish; Hema Choudur; Mary M Chiavaras; Jon Karlsson; Mohit Bhandari Journal: Orthop J Sports Med Date: 2014-07-21
Authors: K O Oduwole; D de Sa; J Kay; F Findakli; A Duong; N Simunovic; Y Yi-Meng; O R Ayeni Journal: Bone Joint Res Date: 2017-08-08 Impact factor: 5.853
Authors: Emma L Klosterman; Anthony J Zacharias; Matthew S Dooley; Nathaniel M Wilson; Elizabeth H G Turner; David C Goodspeed; Andrea M Spiker Journal: Arthrosc Tech Date: 2022-07-25