An image-based kinematic model of the tibiotalar and subtalar joints and its application to gait analysis in children with Juvenile Idiopathic Arthritis |
| |
| Institution: | 1. Department of Mechanical Engineering and INSIGNEO Institute for in silico Medicine, University of Sheffield, Sheffield, United Kingdom;2. Department of Mechanical and Aerospace Engineering, “Sapienza” University of Rome, Rome, Italy;3. Pediatric Rheumatology Unit, IRCCS “Bambino Gesù” Children’s Hospital, Passoscuro, Rome, Italy;4. Pediatria II – Reumatologia, Istituto Giannina Gaslini, Genoa, Italy;5. Movement Analysis and Robotics Laboratory (MARLab), Neurorehabilitation Units, IRCCS “Bambino Gesù” Children’s Hospital, Passoscuro, Rome, Italy;6. UOC Medicina Fisica e Riabilitazione, IRCCS Istituto Giannina Gaslini, Genoa, Italy;7. Department of Imaging, IRCCS “Bambino Gesù” Children’s Hospital, Passoscuro, Rome, Italy;8. Paediatric Immunology, University Medical Centre Utrecht, Wilhelmina Children''s Hospital, Utrecht, the Netherlands;9. Visual Healthcare Technologies, Fraunhofer IGD, Darmstadt, Germany;1. Biomedical Engineering, University of Virginia, Charlottesville, VA, United States;2. Orthopaedic Surgery, University of Virginia, Charlottesville, VA, United States;3. Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA, United States;4. Ophthalmology, University of Virginia, Charlottesville, VA, United States;1. Orthopedic Department of the Hannover Medical School at DIAKOVERE Annastift, Germany;2. Sporthopaedicum Straubing, Straubing, Germany;3. Orthopedic Department, University Hospital Basel, Switzerland;4. Institute of Anatomy, University of Basel, Switzerland;1. Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand;2. Department of Engineering Science, The University of Auckland, Auckland, New Zealand;1. Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Rehabilitation Medicine, Amsterdam Movement Sciences, de Boelelaan 1117, PO Box 7057, 1007 MB, Amsterdam, the Netherlands;2. Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, de Boelelaan 1105, 1081 HV, Amsterdam, the Netherlands;3. Oxford Gait Laboratory, Nuffield Orthopaedic Centre Oxford University Hospitals NHS Foundation Trust, Tebbit Centre, Windmill Road, Headington, Oxford, OX3 7HE, United Kingdom;4. Amsterdam UMC, University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam Movement Sciences, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands;5. Delft University of Technology, Department of Biomechanical Engineering, Mekelweg 2, 2628 CD, Delft, the Netherlands;1. Departments of Pediatrics, University of Florida, College of Medicine, Gainesville, FL, 32611, USA;2. Departments of Biomedical & Health Information Services, University of Florida, College of Medicine, Gainesville, FL, 32611, USA;3. Departments of Physical Medicine and Rehabilitation, University of Florida, College of Medicine, Gainesville, FL, 32611, USA |
| |
| Abstract: | In vivo estimates of tibiotalar and the subtalar joint kinematics can unveil unique information about gait biomechanics, especially in the presence of musculoskeletal disorders affecting the foot and ankle complex. Previous literature investigated the ankle kinematics on ex vivo data sets, but little has been reported for natural walking, and even less for pathological and juvenile populations. This paper proposes an MRI-based morphological fitting methodology for the personalised definition of the tibiotalar and the subtalar joint axes during gait, and investigated its application to characterise the ankle kinematics in twenty patients affected by Juvenile Idiopathic Arthritis (JIA). The estimated joint axes were in line with in vivo and ex vivo literature data and joint kinematics variation subsequent to inter-operator variability was in the order of 1°. The model allowed to investigate, for the first time in patients with JIA, the functional response to joint impairment. The joint kinematics highlighted changes over time that were consistent with changes in the patient’s clinical pattern and notably varied from patient to patient. The heterogeneous and patient-specific nature of the effects of JIA was confirmed by the absence of a correlation between a semi-quantitative MRI-based impairment score and a variety of investigated joint kinematics indexes. In conclusion, this study showed the feasibility of using MRI and morphological fitting to identify the tibiotalar and subtalar joint axes in a non-invasive patient-specific manner. The proposed methodology represents an innovative and reliable approach to the analysis of the ankle joint kinematics in pathological juvenile populations. |
| |
| Keywords: | Biomechanics Ankle joint axis Musculoskeletal modelling Gait analysis Patient-specific modelling |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
