Fabio V Arilla1, Amir Ata Rahnemai-Azar2, Carlos Yacuzzi3, Daniel Guenther4, Benjamin S Engel5, Freddie H Fu6, Volker Musahl7, Richard E Debski8. 1. Orthopaedic Robotics Laboratory, University of Pittsburgh, Pittsburgh, PA, United States; Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA, United States; Department of Orthopaedic Surgery, Hospital Universitário, Canoas, RS, Brazil. Electronic address: fabioarilla@hotmail.com. 2. Orthopaedic Robotics Laboratory, University of Pittsburgh, Pittsburgh, PA, United States; Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: amir.ata.azar@gmail.com. 3. Orthopaedic Robotics Laboratory, University of Pittsburgh, Pittsburgh, PA, United States; Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: carlos.yacuzzi@hospitalitaliano.org.ar. 4. Orthopaedic Robotics Laboratory, University of Pittsburgh, Pittsburgh, PA, United States; Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: guenther.Daniel@mh-hannover.de. 5. Orthopaedic Robotics Laboratory, University of Pittsburgh, Pittsburgh, PA, United States; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: bse3@pitt.edu. 6. Orthopaedic Robotics Laboratory, University of Pittsburgh, Pittsburgh, PA, United States; Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: ffu@upmc.edu. 7. Orthopaedic Robotics Laboratory, University of Pittsburgh, Pittsburgh, PA, United States; Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA, United States; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: musahlv@upmc.edu. 8. Orthopaedic Robotics Laboratory, University of Pittsburgh, Pittsburgh, PA, United States; Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA, United States; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: genesis1@pitt.edu.
Abstract
BACKGROUND: The pivot shift test is the most specific clinical test to detect anterior cruciate ligament injury. The purpose of this study was to determine the correlation between the 2D simple image analysis method and the 3D bony motion of the knee during the pivot shift test and assess the intra- and inter-examiner agreements. METHODS: Three orthopedic surgeons performed three trials of the standardized pivot shift test in seven knees. Two devices were used to measure motion of the lateral knee compartment simultaneously: 1) 2D simple image analysis method: translation was determined using a tablet computer with custom motion tracking software that quantified movement of three markers attached to skin over bony landmarks; 2) 3D bony motion: electromagnetic tracking system was used to measure movement of the same bony landmarks. RESULTS: The 2D simple image analysis method demonstrated a good correlation with the 3D bony motion (Pearson correlation: 0.75, 0.76 and 0.79). The 3D bony translation increased by 2.7 to 3.5 times for every unit increase measured by the 2D simple image analysis method. The mean intra-class correlation coefficients for the three examiners were 0.6 and 0.75, respectively for 3D bony motion and 2D image analyses, while the inter-examiner agreement was 0.65 and 0.73, respectively. CONCLUSIONS: The 2D simple image analysis method results are related to 3D bony motion of the lateral knee compartment, even with skin artifact present. This technique is a non-invasive and repeatable tool to quantify the motion of the lateral knee compartment during the pivot shift test. Copyright Â
BACKGROUND: The pivot shift test is the most specific clinical test to detect anterior cruciate ligament injury. The purpose of this study was to determine the correlation between the 2D simple image analysis method and the 3D bony motion of the knee during the pivot shift test and assess the intra- and inter-examiner agreements. METHODS: Three orthopedic surgeons performed three trials of the standardized pivot shift test in seven knees. Two devices were used to measure motion of the lateral knee compartment simultaneously: 1) 2D simple image analysis method: translation was determined using a tablet computer with custom motion tracking software that quantified movement of three markers attached to skin over bony landmarks; 2) 3D bony motion: electromagnetic tracking system was used to measure movement of the same bony landmarks. RESULTS: The 2D simple image analysis method demonstrated a good correlation with the 3D bony motion (Pearson correlation: 0.75, 0.76 and 0.79). The 3D bony translation increased by 2.7 to 3.5 times for every unit increase measured by the 2D simple image analysis method. The mean intra-class correlation coefficients for the three examiners were 0.6 and 0.75, respectively for 3D bony motion and 2D image analyses, while the inter-examiner agreement was 0.65 and 0.73, respectively. CONCLUSIONS: The 2D simple image analysis method results are related to 3D bony motion of the lateral knee compartment, even with skin artifact present. This technique is a non-invasive and repeatable tool to quantify the motion of the lateral knee compartment during the pivot shift test. Copyright Â
Authors: Thomas R Pfeiffer; Jeremy M Burnham; Ajay C Kanakamedala; Jonathan D Hughes; Jason Zlotnicki; Adam Popchak; Richard E Debski; Volker Musahl Journal: Knee Surg Sports Traumatol Arthrosc Date: 2018-10-29 Impact factor: 4.342
Authors: Ajay C Kanakamedala; Jeremy M Burnham; Thomas R Pfeiffer; Elmar Herbst; Marcin Kowalczuk; Adam Popchak; James Irrgang; Freddie H Fu; Volker Musahl Journal: Knee Surg Sports Traumatol Arthrosc Date: 2017-11-08 Impact factor: 4.342
Authors: Thomas R Pfeiffer; Ajay C Kanakamedala; Elmar Herbst; Kanto Nagai; Conor Murphy; Jeremy M Burnham; Adam Popchak; Richard E Debski; Volker Musahl Journal: Knee Surg Sports Traumatol Arthrosc Date: 2017-08-19 Impact factor: 4.342
Authors: Stefano Zaffagnini; Cecilia Signorelli; Alberto Grassi; Yuichi Hoshino; Ryosuke Kuroda; Darren de Sa; David Sundemo; Kristian Samuelsson; Volker Musahl; Jon Karlsson; Andrew Sheean; Jeremy M Burnham; Jayson Lian; Clair Smith; Adam Popchak; Elmar Herbst; Thomas Pfeiffer; Paulo Araujo; Alicia Oostdyk; Daniel Guenther; Bruno Ohashi; James J Irrgang; Freddie H Fu; Kouki Nagamune; Masahiro Kurosaka; Giulio Maria Marcheggiani Muccioli; Nicola Lopomo; Federico Raggi; Eleonor Svantesson; Eric Hamrin Senorski; Haukur Bjoernsson; Mattias Ahlden; Neel Desai Journal: Orthop J Sports Med Date: 2018-12-18