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      Distal Humeral Trochlear Geometry Associated With the Spatial Variation of the Dynamic Elbow Flexion Axis

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          Abstract

          Background: The complexity of the spatial dynamic flexion axis (DFA) of the elbow joint makes the elbow prosthesis design and humeral component alignment challenging. This study aimed to 1) investigate the variations of the spatial DFA during elbow flexion and 2) investigate the relationship between the distal humeral trochlear geometry and the in vivo spatial variation of the DFA.

          Methods: Ten healthy subjects participated in this study. Each subject performed a full elbow extension to maximum flexion with hand supination under dual fluoroscopic imaging system (DFIS) surveillance. The 2D fluoroscopic images and the 3D bone models were registered to analyze the in vivo elbow kinematics and DFAs. The spatial DFA positions were defined as inclination with the medial and lateral epicondyle axes (MLA) in the transverse and coronal planes. The range of the DFA positions was also investigated during different flexion phases. The Spearman correlation method was used to analyze the relationship between the distal humeral trochlear’s morphological parameters and the position of DFAs during different flexion phases.

          Results: The pathway of the DFAs showed an irregular pattern and presented individual features. The medial trochlear depth (MTD) ( r = 0.68, p = 0.03) was positively correlated with the range of the DFA position (2.8° ± 1.9°) in the coronal plane from full extension to 30° of flexion. Lateral trochlear height (LTH) ( r = −0.64, p = 0.04) was negatively correlated with the DFA position (−1.4° ± 3.3°) in the transverse plane from 30° to 60° of flexion. A significant correlation was found between LTH with the DFA position in the coronal ( r = −0.77, p = 0.01) and transverse planes ( r = −0.76, p = 0.01) from 60° to 90° of flexion.

          Conclusion: This study showed that the pathway of the dynamic flexion axis has an individual pattern. The medial and lateral trochlear sizes were the key parameters that might affect the elbow joint flexion function. When recovering complex distal humeral fractures or considering the implant design of total elbow arthroplasty, surgeons should pay more attention to the medial and lateral trochlea’s geometry, which may help restore normal elbow kinematics.

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          Most cited references43

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          ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion--Part II: shoulder, elbow, wrist and hand.

          In this communication, the Standardization and Terminology Committee (STC) of the International Society of Biomechanics proposes a definition of a joint coordinate system (JCS) for the shoulder, elbow, wrist, and hand. For each joint, a standard for the local axis system in each articulating segment or bone is generated. These axes then standardize the JCS. The STC is publishing these recommendations so as to encourage their use, to stimulate feedback and discussion, and to facilitate further revisions. Adopting these standards will lead to better communication among researchers and clinicians.
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            A survey of formal methods for determining functional joint axes.

            Axes of rotation e.g. at the knee, are often generated from clinical gait analysis data to be used in the assessment of kinematic abnormalities, the diagnosis of disease, or the ongoing monitoring of a patient's condition. They are additionally used in musculoskeletal models to aid in the description of joint and segment kinematics for patient specific analyses. Currently available methods to describe joint axes from segment marker positions share the problem that when one segment is transformed into the coordinate system of another, artefacts associated with motion of the markers relative to the bone can become magnified. In an attempt to address this problem, a symmetrical axis of rotation approach (SARA) is presented here to determine a unique axis of rotation that can consider the movement of two dynamic body segments simultaneously, and then compared its performance in a survey against a number of previously proposed techniques. Using a generated virtual joint, with superimposed marker error conditions to represent skin movement artefacts, fitting methods (geometric axis fit, cylinder axis fit, algebraic axis fit) and transformation techniques (axis transformation technique, mean helical axis, Schwartz approach) were classified and compared with the SARA. Nearly all approaches were able to estimate the axis of rotation to within an RMS error of 0.1cm at large ranges of motion (90 degrees ). Although the geometric axis fit produced the least RMS error of approximately 1.2 cm at lower ranges of motion (5 degrees ) with a stationary axis, the SARA and Axis Transformation Technique outperformed all other approaches under the most demanding marker artefact conditions for all ranges of motion. The cylinder and algebraic axis fit approaches were unable to compute competitive AoR estimates. Whilst these initial results using the SARA are promising and are fast enough to be determined "on-line", the technique must now be proven in a clinical environment.
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              Finite centroid and helical axis estimation from noisy landmark measurements in the study of human joint kinematics

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                Author and article information

                Contributors
                Journal
                Front Bioeng Biotechnol
                Front Bioeng Biotechnol
                Front. Bioeng. Biotechnol.
                Frontiers in Bioengineering and Biotechnology
                Frontiers Media S.A.
                2296-4185
                24 June 2022
                2022
                : 10
                : 850198
                Affiliations
                [1] 1 School of Biomedical Engineering & Med-X Research Institute , Shanghai Jiao Tong University , Shanghai, China
                [2] 2 Department of Orthopaedic Surgery, Shanghai Ninth People s Hospital, Shanghai Key Laboratory of Orthopaedic Implants & Clinical Translation R&D Center of 3D Printing Technology , Shanghai Jiao Tong University School of Medicine , Shanghai, China
                [3] 3 Department of Biomechanics , Mayo Clinic , Rochester, MN, United States
                [4] 4 Department of Orthopaedic Surgery , Shanghai Jiao Tong University Affiliated Sixth People’s Hospital , Shanghai, China
                [5] 5 Department of Rehabilitation Medicine , Zhongshan Hospital , Fudan University , Shanghai, China
                [6] 6 Engineering Research Center of Digital Medicine and Clinical Translation , Ministry of Education , Shanghai, China
                Author notes

                Edited by: Jun Pan, Chongqing University, China

                Reviewed by: Ding Jian, Shanghai Jiao Tong University, China

                Jay Trivedi, Rhode Island Hospital, United States

                *Correspondence: Weihua Gong, gwh1124@ 123456sina.com ; Tsung-Yuan Tsai, tytsai@ 123456sjtu.edu.cn
                [ † ]

                These authors have contributed equally to this work

                This article was submitted to Biomechanics, a section of the journal Frontiers in Bioengineering and Biotechnology

                Article
                850198
                10.3389/fbioe.2022.850198
                9263270
                35814006
                48cd304c-b6ab-4f5b-b4e6-6f00f3fcc6a6
                Copyright © 2022 Zou, Hu, An, Dai, Yu, Gong and Tsai.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 07 January 2022
                : 13 May 2022
                Categories
                Bioengineering and Biotechnology
                Original Research

                humeroulnar joint,elbow flexion axis,flexion–extension movement,morphology,distal humeral trochlea

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