Assessment of knee kinematics with dynamic radiostereometry: Validation of an automated model-based method of analysis using bone models.
digitally reconstructed radiographs
dynamic stereoradiographs
kinematics
knee arthroplasty
radiostereometry
Journal
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
ISSN: 1554-527X
Titre abrégé: J Orthop Res
Pays: United States
ID NLM: 8404726
Informations de publication
Date de publication:
03 2021
03 2021
Historique:
received:
22
04
2020
revised:
26
07
2020
accepted:
06
10
2020
pubmed:
9
10
2020
medline:
5
5
2021
entrez:
8
10
2020
Statut:
ppublish
Résumé
Radiostereometic analysis (RSA) is a precise method for the functional assessment of joint kinematics. Traditionally, the method is based on tracking of surgically implanted bone markers and analysis is user intensive. We propose an automated method of analysis based on models generated from computed tomography (CT) scans and digitally reconstructed radiographs. The study investigates method agreement between marker-based RSA and the CT bone model-based RSA method for assessment of knee joint kinematics in an experimental setup. Eight cadaveric specimens were prepared with bone markers and bone volume models were generated from CT-scans. Using a mobile fixture setup, dynamic RSA recordings were obtained during a knee flexion exercise in two unique radiographic setups, uniplanar and biplanar. The method agreement between marker-based and CT bone model-based RSA methods was compared using bias and LoA. Results obtained from uniplanar and biplanar recordings were compared and the influence of radiographic setup was considered for clinical relevance. The automated method had a bias of -0.19 mm and 0.11° and LoA within ±0.42 mm and ±0.33° for knee joint translations and rotations, respectively. The model pose estimation of the tibial bone was more precise than the femoral bone. The radiographic setup had no clinically relevant effect on results. In conclusion, the automated CT bone model-based RSA method had a clinical precision comparable to that of marker-based RSA. The automated method is non-invasive, fast, and clinically applicable for functional assessment of knee kinematics and pathomechanics in patients.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
597-608Informations de copyright
© 2020 Orthopaedic Research Society. Published by Wiley Periodicals LLC.
Références
Selvik G. Roentgen stereophotogrammetry. A method for the study of the kinematics of the skeletal system. Acta Orthop Scand Suppl. 1989;232:1-51.
Kärrholm J. Roentgen stereophotogrammetry: review of orthopedic applications. Acta Orthop Scand. 1989;60:491-503.
Valstar ER, Gill R, Ryd L, Flivik G, Börlin N, Kärrholm J. Guidelines for standardization of radiostereometry (RSA) of implants. Acta Orthop. 2005;76:563-572.
Valstar ER, de Jong FW, Vrooman HA, Rozing PM, Reiber JHC. Model-based Roentgen stereophotogrammetry of orthopaedic implants. J Biomech. 2001;34:715-722.
Kaptein BL, Valstar ER, Stoel BC, Rozing PM, Reiber JHC. A new model-based RSA method validated using CAD models and models from reversed engineering. J Biomech. 2003;36:873-882.
Kaptein BL, Valstar ER, Spoor CW, Stoel BC, Rozing PM. Model-based RSA of a femoral hip stem using surface and geometrical shape models. Clin Orthop Relat Res. 2006;448:92-97.
You B, Siy P, Anderst W, Tashman S. In vivo measurement of 3-D skeletal kinematics from sequences of biplane radiographs: application to knee kinematics. IEEE Trans Med Imaging. 2001;20:514-525.
Anderst W, Zauel R, Bishop J, Demps E, Tashman S. Validation of three-dimensional model-based tibio-femoral tracking during running. Med Eng Phys. 2009;31:10-16.
Komistek RD, Dennis DA, Mahfouz M. In vivo fluoroscopic analysis of the normal human knee. Clin Orthop Relat Res. 2003;410:69-81.
Mahfouz MR, Hoff WA, Komistek RD, Dennis DA. A robust method for registration of three-dimensional knee implant models to two-dimensional fluoroscopy images. IEEE Trans Med Imaging. 2003;22:1561-1574.
Wu G, Siegler S, Allard P, et al. International Society of Biomechanics. ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion-part I: ankle, hip, and spine. J Biomech. 2002;35:543-548.
Grood ES, Suntay WJ. A joint coordinate system for the clinical description of three-dimensional motions: application to the knee. J Biomech Eng. 1983;105:136-144.
Krčah M, Székely G, Blanc R 2011. Fully automatic and fast segmentation of the femur bone from 3D-CT images with no shape prior. Proceedings, IEEE International Symposium on Biomedical Imaging: From Nano to Macro. https://doi.org/10.1109/ISBI.2011.5872823. Available from: http://xplorestaging.ieee.org/document/5872823
de Raedt S, Mechlenburg I, Stilling M, Rømer L, Søballe K, de Bruijne M. Automated measurement of diagnostic angles for hip dysplasia. Proceedings of SPIE, the International Society for Optical Engineering. 2013:8670.
Boykov Y, Funka-Lea G. Graph Cuts and Efficient N-D Image Segmentation. Int J Comput Vis. 2006;70:109-131.
Horsager K, Kaptein BL, Rømer L, Jørgensen PB, Stilling M. Dynamic RSA for the evaluation of inducible micromotion of Oxford UKA during step-up and step-down motion. Acta Orthop. 2017;88:275-281.
Horsager K, Kaptein BL, Jorgensen PB, et al. Oxford medial unicompartmental knees display contact-loss during step-cycle motion and bicycle motion: A dynamic radiostereometric study. J Orthop Res. 2018;36:357-364.
Bradski G. The OpenCV Library. Dr. Dobb's J Software Tools. 2000;25:120-125.
Hansen L, de Raedt S, Jørgensen PB, Mygind-Klavsen B, Kaptein B, Stilling M. Marker free model-based radiostereometric analysis for evaluation of hip joint kinematics: a validation study. Bone Joint Res. 2018;7:379-387.
Hemmingsen CK, Thillemann TM, Elmengaard B, et al. Elbow biomechanics, radiocapitellar joint pressure, and interosseous membrane strain before and after radial head arthroplasty. J Orthop Res. 2020;38:510-522.
Kaelo P, Ali MM. Some variants of the controlled random search algorithm for global optimization. J Optim Theory Appl. 2006;130:253-264.
Nelder JA, Mead R. A simplex method for function minimization. Comput J. 1965;7:308-313.
van der Bom IMJ, Klein S, Staring M, et al. 2011. Evaliation of optimization methods for intensity-based 2D-3D registration in x-ray guided interventions. Proceedings, SPIE, Medical Imaging: Image Processing 796223. https://doi.org/10.1117/12.877655.
Miranda DL, Rainbow MJ, Leventhal EL, Crisco JJ, Fleming BC. Automatic determination of anatomical coordinate systems for three-dimensional bone models of the isolated human knee. J Biomech. 2010;43:1623-1626.
Ryd L, Yuan X, Lofgren H. Methods for determining the accuracy of radiostereometric analysis (RSA). Acta Orthop Scand. 2000;71:403-408.
Söderkvist I, Wedin P-Å. Determining the movements of the skeleton using well-configured markers. J Biomech. 1993;26:1473-1477.
Kaptein BL, R Valstar E, Stoel BC, Rozing PM, Reiber JHC. Evaluation of three pose estimation algorithms for model-based roentgen stereophotogrammetric analysis. Proc Inst Mech Eng H. 2004;218:231-238.
Klein S, Staring M, Murphy K, Viergever MA, Pluim J. Elastix: a toolbox for intensity-based medical image registration. IEEE Trans Med Imaging. 2010;29:196-205.
Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet. 1986;327:307-310.
Stentz-Olesen K, Nielsen ET, de Raedt S, et al. Validation of static and dynamic radiostereometric analysis of the knee joint using bone models from CT data. Bone Joint Res. 2017;6:376-384.
Bey MJ, Kline SK, Tashman S, Zauel R. Accuracy of biplane x-ray imaging combined with model-based tracking for measuring in-vivo patellofemoral joint motion. J Orthop Surg Res. 2008;3:38.
Nielsen ET, Stentz-Olesen K, de Raedt S, et al. Influence of the anterolateral ligament on knee laxity: a biomechanical cadaveric study measuring knee kinematics in 6 degrees of freedom using dynamic radiostereometric analysis. Orthop J Sports Med. 2018;6:232596711878969.