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Promny D, Gill D, Lyer S, Alexiou C, Buder T, Neuhuber W, Horch RE, Arkudas A. Mapping wrist motion: 3D CT analysis after scapholunate ligament transection. J Anat 2024. [PMID: 39092658 DOI: 10.1111/joa.14119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 07/03/2024] [Accepted: 07/15/2024] [Indexed: 08/04/2024] Open
Abstract
The injury of the scapholunate (SL) ligament is common in wrist traumas leading to pain and reduced wrist function. The wrist's unique joint design and possible underlying theories as the carpal row theory were subject to earlier investigations studying wrist kinematics. Nevertheless, a comprehensive understanding of how SL ligament injuries affect wrist biomechanics is still lacking. Through a quantitative analysis of carpal bone motion patterns, we evaluated the impact on wrist kinematics occurring after SL ligament injury. We conducted a study using computer tomography imaging to analyse wrist kinematics after SL ligament transection in 21 fresh-frozen anatomical specimens. The collected data were then transformed into 3D models, employing both standardized global and object coordinate systems. The study encompassed the evaluation of rotation and translation for each individual carpal bone, as well as the ulna, and all metacarpal bones in reference to the radius. The study showed a significant increase in rotation towards palmar (p < 0.01), particularly notable for the scaphoid, following transection of the SL ligament during palmar flexion. Ulnar deviation did not significantly affect rotation or translation, and radial deviation also showed no significant changes in rotation or translation. The study highlights the significance of the SL ligament in wrist kinematics, revealing that SL ligament tears lead to changes in wrist motion. While we observed significant rotational changes for the scaphoid, other carpal bones showed less pronounced alterations, emphasizing the complexity of wrist biomechanics.
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Affiliation(s)
- Dominik Promny
- Department of Plastic and Hand Surgery, Laboratory for Tissue Engineering and Regenerative Medicine, Friedrich-Alexander-Universität Erlangen-Nuernberg FAU, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Dominik Gill
- Department of Plastic and Hand Surgery, Laboratory for Tissue Engineering and Regenerative Medicine, Friedrich-Alexander-Universität Erlangen-Nuernberg FAU, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Stefan Lyer
- Department of Otorhinolaryngology, Head & Neck Surgery, Section of Experimental Oncology & Nanomedicine (SEON), Professorship for AI-Controlled Nanomaterials, Friedrich-Alexander-Universität Erlangen-Nuernberg FAU, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Christoph Alexiou
- Department of Otorhinolaryngology, Head & Neck Surgery, Section of Experimental Oncology & Nanomedicine (SEON), Professorship for AI-Controlled Nanomaterials, Friedrich-Alexander-Universität Erlangen-Nuernberg FAU, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Thomas Buder
- Institute of Anatomy, Department I, Friedrich-Alexander-Universität Erlangen-Nuernberg FAU, Erlangen, Germany
| | - Winfried Neuhuber
- Institute of Anatomy, Department I, Friedrich-Alexander-Universität Erlangen-Nuernberg FAU, Erlangen, Germany
| | - Raymund E Horch
- Department of Plastic and Hand Surgery, Laboratory for Tissue Engineering and Regenerative Medicine, Friedrich-Alexander-Universität Erlangen-Nuernberg FAU, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Andreas Arkudas
- Department of Plastic and Hand Surgery, Laboratory for Tissue Engineering and Regenerative Medicine, Friedrich-Alexander-Universität Erlangen-Nuernberg FAU, Universitätsklinikum Erlangen, Erlangen, Germany
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Trentadue TP, Thoreson AR, Lopez C, Breighner RE, An KN, Holmes DR, Moran SL, Kakar S, Murthy NS, Leng S, Zhao KD. Detection of scapholunate interosseous ligament injury using dynamic computed tomography-derived arthrokinematics: A prospective clinical trial. Med Eng Phys 2024; 128:104172. [PMID: 38789217 PMCID: PMC11342909 DOI: 10.1016/j.medengphy.2024.104172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 03/22/2024] [Accepted: 04/24/2024] [Indexed: 05/26/2024]
Abstract
Scapholunate interosseous ligament injuries are a major cause of wrist instability and can be difficult to diagnose radiographically. To improve early diagnosis of scapholunate ligament injuries, we compared injury detection between bilateral routine clinical radiographs, static CT, and dynamic four-dimensional CT (4DCT) during wrist flexion-extension and radioulnar deviation. Participants with unilateral scapholunate ligament injuries were recruited to a prospective clinical trial investigating the diagnostic utility of 4DCT imaging for ligamentous wrist injury. Twenty-one participants underwent arthroscopic surgery to confirm scapholunate ligament injury. Arthrokinematics, defined as distributions of interosseous proximities across radioscaphoid and scapholunate articular surfaces at different positions within the motion cycle, were used as CT-derived biomarkers. Preoperative radiographs, static CT, and extrema of 4DCT were compared between uninjured and injured wrists using Wilcoxon signed rank or Kolmogorov-Smirnov tests. Median interosseous proximities at the scapholunate interval were significantly greater in the injured versus the uninjured wrists at static-neutral and maximum flexion, extension, radial deviation, and ulnar deviation. Mean cumulative distribution functions at the radioscaphoid joint were not significantly different between wrists but were significantly shifted at the scapholunate interval towards increased interosseous proximities in injured versus uninjured wrists in all positions. Median and cumulative distribution scapholunate proximities from static-neutral and 4DCT-derived extrema reflect injury status.
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Affiliation(s)
- Taylor P Trentadue
- Assistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA; Mayo Clinic Medical Scientist Training Program, Mayo Clinic, Rochester, Minnesota, USA; Mayo Clinic Graduate Program in Biomedical Engineering and Physiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Andrew R Thoreson
- Assistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA
| | - Cesar Lopez
- Assistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA
| | - Ryan E Breighner
- Department of Radiology and Imaging, Hospital for Special Surgery, New York, New York, USA
| | - Kai-Nan An
- Assistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA
| | - David R Holmes
- Biomedical Imaging Resource Core Facility, Mayo Clinic, Rochester, Minnesota, USA
| | - Steven L Moran
- Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Sanjeev Kakar
- Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Naveen S Murthy
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Shuai Leng
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA; Computed Tomography Clinical Innovation Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Kristin D Zhao
- Assistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota, USA; Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota, USA.
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Glanville J, Bates KT, Brown D, Potts D, Curran J, Fichera S. Evaluation of a cadaveric wrist motion simulator using marker-based X-ray reconstruction of moving morphology. PeerJ 2024; 12:e17179. [PMID: 38803578 PMCID: PMC11129696 DOI: 10.7717/peerj.17179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 04/05/2024] [Indexed: 05/29/2024] Open
Abstract
Surgical intervention is a common option for the treatment of wrist joint arthritis and traumatic wrist injury. Whether this surgery is arthrodesis or a motion preserving procedure such as arthroplasty, wrist joint biomechanics are inevitably altered. To evaluate effects of surgery on parameters such as range of motion, efficiency and carpal kinematics, repeatable and controlled motion of cadaveric specimens is required. This study describes the development of a device that enables cadaveric wrist motion to be simulated before and after motion preserving surgery in a highly controlled manner. The simulator achieves joint motion through the application of predetermined displacements to the five major tendons of the wrist, and records tendon forces. A pilot experiment using six wrists aimed to evaluate its accuracy and reproducibility. Biplanar X-ray videoradiography (BPVR) and X-Ray Reconstruction of Moving Morphology (XROMM) were used to measure overall wrist angles before and after total wrist arthroplasty. The simulator was able to produce flexion, extension, radioulnar deviation, dart thrower's motion and circumduction within previously reported functional ranges of motion. Pre- and post-surgical wrist angles did not significantly differ. Intra-specimen motion trials were repeatable; root mean square errors between individual trials and average wrist angle and tendon force profiles were below 1° and 2 N respectively. Inter-specimen variation was higher, likely due to anatomical variation and lack of wrist position feedback. In conclusion, combining repeatable intra-specimen cadaveric motion simulation with BPVR and XROMM can be used to determine potential effects of motion preserving surgeries on wrist range of motion and biomechanics.
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Affiliation(s)
- Joanna Glanville
- School of Engineering, University of Liverpool, Liverpool, Merseyside, United Kingdom
- Department of Musculoskeletal & Ageing Science, University of Liverpool, Liverpool, Merseyside, United Kingdom
| | - Karl T. Bates
- Department of Musculoskeletal & Ageing Science, University of Liverpool, Liverpool, Merseyside, United Kingdom
| | - Daniel Brown
- Liverpool Orthopaedic and Trauma Service, Liverpool University Hospitals, Liverpool, Merseyside, United Kingdom
| | - Daniel Potts
- School of Engineering, University of Liverpool, Liverpool, Merseyside, United Kingdom
| | - John Curran
- School of Engineering, University of Liverpool, Liverpool, Merseyside, United Kingdom
| | - Sebastiano Fichera
- School of Engineering, University of Liverpool, Liverpool, Merseyside, United Kingdom
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Sharafi A, Arpinar VE, Nencka AS, Koch KM. Development and stability analysis of carpal kinematic metrics from 4D magnetic resonance imaging. Skeletal Radiol 2024:10.1007/s00256-024-04687-3. [PMID: 38767657 DOI: 10.1007/s00256-024-04687-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 04/13/2024] [Accepted: 04/15/2024] [Indexed: 05/22/2024]
Abstract
OBJECTIVE To develop MRI-derived carpal kinematic metrics and investigating their stability. METHODS The study used a 4D MRI method to track scaphoid, lunate, and capitate movements in the wrist. A panel of 120 metrics for radial-ulnar deviation and flexion-extension was created using polynomial models of scaphoid and lunate movements relative to the capitate. Intraclass correlation coefficients (ICCs) analyzed intra- and inter-subject stability in 49 subjects, 20 with and 29 without wrist injury history. RESULTS Comparable degrees of stability were observed across the two different wrist movements. Among the total 120 derived metrics, distinct subsets demonstrated high stability within each type of movement. For asymptomatic subjects, 16 out of 17 metrics with high intra-subject stability also showed high inter-subject stability. The differential analysis of ICC values for each metric between asymptomatic and symptomatic cohorts revealed specific metrics (although relatively unstable) exhibiting greater variability in the symptomatic cohort, thereby highlighting the impact of wrist conditions on the variability of kinematic metrics. CONCLUSION The findings demonstrate the developing potential of dynamic MRI for assessing and characterizing complex carpal bone dynamics. Stability analyses of the derived kinematic metrics revealed encouraging differences between cohorts with and without wrist injury histories. Although these broad metric stability variations highlight the potential utility of this approach for analyzing carpal instability, further studies are necessary to better characterize these observations.
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Affiliation(s)
- Azadeh Sharafi
- Radiology, Medical College of Wisconsin, Madison, WI, USA.
| | | | | | - Kevin M Koch
- Radiology, Medical College of Wisconsin, Madison, WI, USA
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Schiffner E, Hilsmann F, Lakomek F, Beyersdorf C, Windolf J, Latz D. Degenerative changes of the wrist in mixed martial arts and boxing based on the three column theory. PHYSICIAN SPORTSMED 2024:1-5. [PMID: 38700558 DOI: 10.1080/00913847.2024.2351357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 05/01/2024] [Indexed: 05/14/2024]
Abstract
OBJECTIVE Mixed Martial Arts (MMA) is a relatively young combat sport. In contrast to classic boxing, MMA combines techniques of grappling and striking. However, characteristic long-term effects of MMA on the wrist are discussed controversially. Aim of this study was to elucidate characteristic degenerative changes of the wrist from MMA fighters in comparison to classic boxers. METHODS In this study, eleven professional MMA fighters and ten professional boxers with chronic wrist pain were examined and compared. Age, weight, number of fights and weekly hours of training were recorded. Wrist and hand of each fighter were examined using a 3T-MR scanner. Degenerations of the radial, central and ulnar column were analyzed according to Navarro's three-column theory and degenerative changes were categorized based on the classification of Fredericson. RESULTS There was no significant difference of age, weight and number of fights between MMA fighters and boxers (p > 0.15). However, MMA fighters practiced significantly more hours per week (19.5 (MMA) vs. 8.5 (boxing) hours/week, p < 0.001). No significant associations were found between different training times per Week in terms of degenerative changes of the wrist in MMA and boxing based on the three column theory. The comparison of degenerative changes in the columns between MMA and boxing showed no significant differences. The MRI showed a significantly higher degeneration in the radial column compared to the central column among MMA fighters for ligaments (p = 0.01) and bones (p = 0.03). CONCLUSION Due to different fighting techniques, different physical traumas, including falls, pattern of degenerations of the wrist between MMA fighters and boxers are different. MMA fighters suffer of a highly degenerative radial column and boxers suffer of a homogeneous degeneration of all three columns.
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Affiliation(s)
- Erik Schiffner
- Department for Orthopedics and Trauma Surgery, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Falk Hilsmann
- Department for Orthopedics and Trauma Surgery, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Felix Lakomek
- Department for Orthopedics and Trauma Surgery, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christoph Beyersdorf
- Department for Orthopedics and Trauma Surgery, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Joachim Windolf
- Department for Orthopedics and Trauma Surgery, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - David Latz
- Department for Orthopedics and Trauma Surgery, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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Inaba N, Oki S, Nagura T, Sato K, Jinzaki M, Iwamoto T, Nakamura M. In-vivo kinematics of the trapeziometacarpal joint in dynamic pinch motion using four-dimensional computed tomography imaging. Skeletal Radiol 2024; 53:129-140. [PMID: 37306769 DOI: 10.1007/s00256-023-04387-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/03/2023] [Accepted: 06/04/2023] [Indexed: 06/13/2023]
Abstract
OBJECTIVE CT imaging precisely and quantitatively analyzes the kinematics of the carpal bones to evaluate the etiology of related osteoarthritis. Previous studies have investigated the kinematics of the trapeziometacarpal joint using static CT scans of various postures including the pinch position. This study analyzed the in-vivo kinematics of the trapeziometacarpal joint during dynamic pinch motion in young healthy volunteers using four-dimensional CT. MATERIALS AND METHODS Twelve healthy young volunteers participated in this study. Each participant held the pinch meter between their thumb and index finger and pinched it with maximum force for a period of 6 s. This series of movement was recorded using a four-dimensional CT. The surface data of the trapezium and first metacarpal of all frames were reconstructed, and bone movement at the trapeziometacarpal joint was calculated using sequential three-dimensional registration. The instantaneous pinch force of each frame was measured using a pointer on a pinch meter that was reconstructed from the CT data. RESULTS The first metacarpal was abducted (15.9 ± 8.3°) and flexed (12.2 ± 7.1°) relative to the trapezium, and significantly translated to the volar (0.8 ± 0.6 mm) and ulnar directions (0.9 ± 0.8 mm) with maximum pinch force. This movement consistently increased with the pinch force. CONCLUSION This study successfully employed 4D-CT to precisely demonstrate changes in rotation and translation at the trapeziometacarpal joint during pinch motion for various instantaneous forces.
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Affiliation(s)
- Naoto Inaba
- Department of Orthopedic Surgery, Keio University School of Medicine, Shinanomachi 35, Shinjuku-Ku, Tokyo, 160-8582, Japan
| | - Satoshi Oki
- Department of Orthopedic Surgery, Keio University School of Medicine, Shinanomachi 35, Shinjuku-Ku, Tokyo, 160-8582, Japan.
| | - Takeo Nagura
- Department of Orthopedic Surgery, Keio University School of Medicine, Shinanomachi 35, Shinjuku-Ku, Tokyo, 160-8582, Japan
| | - Kazuki Sato
- Institute for Integrated Sports Medicine, Keio University School of Medicine, Shinanomachi 35, Shinjuku-Ku, Tokyo, 160-8582, Japan
| | - Masahiro Jinzaki
- Department of Diagnostic Radiology, Keio University School of Medicine, Shinanomachi 35, Shinjuku-Ku, Tokyo, 160-8582, Japan
| | - Takuji Iwamoto
- Department of Orthopedic Surgery, Keio University School of Medicine, Shinanomachi 35, Shinjuku-Ku, Tokyo, 160-8582, Japan
| | - Masaya Nakamura
- Department of Orthopedic Surgery, Keio University School of Medicine, Shinanomachi 35, Shinjuku-Ku, Tokyo, 160-8582, Japan
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Goelz L, Pinther M, Güthoff C, Kim S, Bevanda J, Mutze S, Schüler G, Eisenschenk A, Eichenauer F, Asmus A. Assessing Diagnostic Accuracy of Four-dimensional CT for Instable Scapholunate Dissociation: The Prospective ACTION Trial. Radiology 2023; 308:e230292. [PMID: 37698479 DOI: 10.1148/radiol.230292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
Abstract
Background Timely treatment of scapholunate instability depends on early identification, but current imaging methods are either intricate or fail to demonstrate the dynamic stages. Purpose To calculate the diagnostic accuracy of four-dimensional (4D) CT for diagnosing instable scapholunate ligament (SLL) tears. Materials and Methods This prospective study enrolled consecutive participants with clinically suspected SLL tears who underwent 4D CT from July 2020 to May 2022. A historical study sample diagnosed at cineradiography served as a comparison, and wrist arthroscopy was the reference standard. Scapholunate joints greater than 3 mm were interpreted as instable at index 4D CT and cineradiography. Diagnostic accuracy was expressed as sensitivity and specificity. Areas under the receiver operating characteristic curve and cutoff values for both index tests were calculated. Intraclass correlation coefficients (ICCs) were computed to compare interrater reliability. Effective radiation doses at 4D CT were measured with thermoluminescent dosimeters. Results The study included 40 participants (mean age, 43 years ± 14 [SD]; 24 male) evaluated at 4D CT and 78 patients (mean age, 45 years ± 11; 50 male) historically evaluated at cineradiography. Four-dimensional CT helped detect instable tears in 26 of 35 participants (sensitivity, 74.3% [95% CI: 56.7, 87.5]. Cineradiography revealed instable tears in 52 of 63 patients (sensitivity, 82.5% [95% CI: 70.9, 91]). Four of five participants with stable scapholunate joints were identified at 4D CT (specificity, 80.0% [95% CI: 28.4, 99.5]), and 12 of 15 patients with stable SLLs were identified at cineradiography (specificity, 80.0% [95% CI: 51.9, 95.7]). Interrater agreement of radiologic measurements on 4D CT scans was good to excellent (ICC range, 0.89-0.96). The effective radiation dose ranged from 67 to 72 mSv at the wrist and was less than 1 mSv at the head. Conclusion Four-dimensional CT results are highly reproducible. Instable scapholunate joints greater than 3 mm were detected with a sensitivity of 74.3% and a specificity of 80% in an exploratory trial. Further evidence from larger randomized trials is warranted. German Register for Clinical Trials no. DRKS00021110 (Universal Trial Number U1111-1249-7884) Published under a CC BY 4.0 license. Supplemental material is available for this article. See also the editorial by Demehri and Ibad in this issue.
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Affiliation(s)
- Leonie Goelz
- From the Department of Radiology and Neuroradiology (L.G., J.B., S.M., G.S.), Department of Hand-, Replantation- and Microsurgery (M.P., A.E., F.E., A.A.), and Center for Clinical Research (C.G.), BG Klinikum Unfallkrankenhaus Berlin, Warener Str 7, 12683 Berlin, Germany; and Institute for Diagnostic Radiology and Neuroradiology (L.G., S.M.) and Department of Hand Surgery and Microsurgery (S.K., A.E.), Universitätsmedizin Greifswald, Greifswald, Germany
| | - Melina Pinther
- From the Department of Radiology and Neuroradiology (L.G., J.B., S.M., G.S.), Department of Hand-, Replantation- and Microsurgery (M.P., A.E., F.E., A.A.), and Center for Clinical Research (C.G.), BG Klinikum Unfallkrankenhaus Berlin, Warener Str 7, 12683 Berlin, Germany; and Institute for Diagnostic Radiology and Neuroradiology (L.G., S.M.) and Department of Hand Surgery and Microsurgery (S.K., A.E.), Universitätsmedizin Greifswald, Greifswald, Germany
| | - Claas Güthoff
- From the Department of Radiology and Neuroradiology (L.G., J.B., S.M., G.S.), Department of Hand-, Replantation- and Microsurgery (M.P., A.E., F.E., A.A.), and Center for Clinical Research (C.G.), BG Klinikum Unfallkrankenhaus Berlin, Warener Str 7, 12683 Berlin, Germany; and Institute for Diagnostic Radiology and Neuroradiology (L.G., S.M.) and Department of Hand Surgery and Microsurgery (S.K., A.E.), Universitätsmedizin Greifswald, Greifswald, Germany
| | - Simon Kim
- From the Department of Radiology and Neuroradiology (L.G., J.B., S.M., G.S.), Department of Hand-, Replantation- and Microsurgery (M.P., A.E., F.E., A.A.), and Center for Clinical Research (C.G.), BG Klinikum Unfallkrankenhaus Berlin, Warener Str 7, 12683 Berlin, Germany; and Institute for Diagnostic Radiology and Neuroradiology (L.G., S.M.) and Department of Hand Surgery and Microsurgery (S.K., A.E.), Universitätsmedizin Greifswald, Greifswald, Germany
| | - Jelena Bevanda
- From the Department of Radiology and Neuroradiology (L.G., J.B., S.M., G.S.), Department of Hand-, Replantation- and Microsurgery (M.P., A.E., F.E., A.A.), and Center for Clinical Research (C.G.), BG Klinikum Unfallkrankenhaus Berlin, Warener Str 7, 12683 Berlin, Germany; and Institute for Diagnostic Radiology and Neuroradiology (L.G., S.M.) and Department of Hand Surgery and Microsurgery (S.K., A.E.), Universitätsmedizin Greifswald, Greifswald, Germany
| | - Sven Mutze
- From the Department of Radiology and Neuroradiology (L.G., J.B., S.M., G.S.), Department of Hand-, Replantation- and Microsurgery (M.P., A.E., F.E., A.A.), and Center for Clinical Research (C.G.), BG Klinikum Unfallkrankenhaus Berlin, Warener Str 7, 12683 Berlin, Germany; and Institute for Diagnostic Radiology and Neuroradiology (L.G., S.M.) and Department of Hand Surgery and Microsurgery (S.K., A.E.), Universitätsmedizin Greifswald, Greifswald, Germany
| | - Gabriele Schüler
- From the Department of Radiology and Neuroradiology (L.G., J.B., S.M., G.S.), Department of Hand-, Replantation- and Microsurgery (M.P., A.E., F.E., A.A.), and Center for Clinical Research (C.G.), BG Klinikum Unfallkrankenhaus Berlin, Warener Str 7, 12683 Berlin, Germany; and Institute for Diagnostic Radiology and Neuroradiology (L.G., S.M.) and Department of Hand Surgery and Microsurgery (S.K., A.E.), Universitätsmedizin Greifswald, Greifswald, Germany
| | - Andreas Eisenschenk
- From the Department of Radiology and Neuroradiology (L.G., J.B., S.M., G.S.), Department of Hand-, Replantation- and Microsurgery (M.P., A.E., F.E., A.A.), and Center for Clinical Research (C.G.), BG Klinikum Unfallkrankenhaus Berlin, Warener Str 7, 12683 Berlin, Germany; and Institute for Diagnostic Radiology and Neuroradiology (L.G., S.M.) and Department of Hand Surgery and Microsurgery (S.K., A.E.), Universitätsmedizin Greifswald, Greifswald, Germany
| | - Frank Eichenauer
- From the Department of Radiology and Neuroradiology (L.G., J.B., S.M., G.S.), Department of Hand-, Replantation- and Microsurgery (M.P., A.E., F.E., A.A.), and Center for Clinical Research (C.G.), BG Klinikum Unfallkrankenhaus Berlin, Warener Str 7, 12683 Berlin, Germany; and Institute for Diagnostic Radiology and Neuroradiology (L.G., S.M.) and Department of Hand Surgery and Microsurgery (S.K., A.E.), Universitätsmedizin Greifswald, Greifswald, Germany
| | - Ariane Asmus
- From the Department of Radiology and Neuroradiology (L.G., J.B., S.M., G.S.), Department of Hand-, Replantation- and Microsurgery (M.P., A.E., F.E., A.A.), and Center for Clinical Research (C.G.), BG Klinikum Unfallkrankenhaus Berlin, Warener Str 7, 12683 Berlin, Germany; and Institute for Diagnostic Radiology and Neuroradiology (L.G., S.M.) and Department of Hand Surgery and Microsurgery (S.K., A.E.), Universitätsmedizin Greifswald, Greifswald, Germany
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Trentadue TP, Lopez C, Breighner RE, Akbari-Shandiz M, An KN, Leng S, Holmes DR, Moran SL, Kakar S, Smith J, Thoreson A, Zhao KD. Assessing carpal kinematics following scapholunate interosseous ligament injury ex vivo using four-dimensional dynamic computed tomography. Clin Biomech (Bristol, Avon) 2023; 107:106007. [PMID: 37295340 PMCID: PMC10619963 DOI: 10.1016/j.clinbiomech.2023.106007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 04/28/2023] [Accepted: 05/17/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Scapholunate interosseous ligament injuries are prevalent and often challenging to diagnose radiographically. Four-dimensional CT allows visualization of carpal bones during motion. We present a cadaveric model of sequential ligamentous sectionings ("injuries") to quantify their effects on interosseous proximities at the radioscaphoid joint and scapholunate interval. We hypothesized that injury, wrist position, and their interaction affect carpal arthrokinematics. METHODS Eight cadaveric wrists were moved through flexion-extension and radioulnar deviation after injuries. Dynamic CT images of each motion were acquired in each injury condition using a second-generation dual-source CT scanner. Carpal osteokinematics were used to calculate arthrokinematic interosseous proximity distributions during motion. Median interosseous proximities were normalized and categorized by wrist position. Linear mixed-effects models and marginal means tests were used to compare distributions of median interosseous proximities. FINDINGS The effect of wrist position was significant for both flexion-extension and radioulnar deviation at the radioscaphoid joint; the effect of injury was significant for flexion-extension at the scapholunate interval; and the effect of their interaction was significant for radioulnar deviation at the scapholunate interval. Across wrist positions, radioscaphoid median interosseous proximities were less able to distinguish injury conditions versus scapholunate proximities. Median interosseous proximities at the scapholunate interval are majoritively able to detect differences between less (Geissler I-III) versus more (Geissler IV) severe injuries when the wrist is flexed, extended, and ulnarly-deviated. INTERPRETATION Dynamic CT enhances our understanding of carpal arthrokinematics in a cadaveric model of SLIL injury. Scapholunate median interosseous proximities in flexion, extension, and ulnar deviation best demonstrate ligamentous integrity.
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Affiliation(s)
- Taylor P Trentadue
- Assistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America; Mayo Clinic Medical Scientist Training Program, Mayo Clinic, Rochester, MN, United States of America; Biomedical Engineering and Physiology Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN, United States of America.
| | - Cesar Lopez
- Assistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America.
| | - Ryan E Breighner
- Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY, United States of America.
| | - Mohsen Akbari-Shandiz
- Assistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America
| | - Kai-Nan An
- Assistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America.
| | - Shuai Leng
- Department of Radiology, Mayo Clinic, Rochester, MN, United States of America; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States of America.
| | - David R Holmes
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States of America; Biomedical Imaging Resource, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, United States of America.
| | - Steven L Moran
- Department of Orthopedic Surgery, Division of Hand Surgery, Mayo Clinic, Rochester, MN, United States of America.
| | - Sanjeev Kakar
- Department of Orthopedic Surgery, Division of Hand Surgery, Mayo Clinic, Rochester, MN, United States of America; Department of Clinical Anatomy, Mayo Clinic, Rochester, MN, United States of America.
| | - Jay Smith
- Department of Radiology, Mayo Clinic, Rochester, MN, United States of America; Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America.
| | - Andrew Thoreson
- Assistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America.
| | - Kristin D Zhao
- Assistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States of America; Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, United States of America.
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9
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Trentadue TP, Lopez C, Breighner RE, Fautsch K, Leng S, Holmes III DR, Moran SL, Thoreson AR, Kakar S, Zhao KD. Evaluation of Scapholunate Injury and Repair with Dynamic (4D) CT: A Preliminary Report of Two Cases. J Wrist Surg 2023; 12:248-260. [PMID: 37223378 PMCID: PMC10202581 DOI: 10.1055/s-0042-1758159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 09/15/2022] [Indexed: 02/11/2023]
Abstract
Background In predynamic or dynamic scapholunate (SL) instability, standard diagnostic imaging may not identify SL interosseous ligament (SLIL) injury, leading to delayed detection and intervention. This study describes the use of four-dimensional computed tomography (4DCT) in identifying early SLIL injury and following injured wrists to 1-year postoperatively. Description of Technique 4DCT acquires a series of three-dimensional volume data with high temporal resolution (66 ms). 4DCT-derived arthrokinematic data can be used as biomarkers of ligament integrity. Patients and Methods This study presents the use of 4DCT in a two-participant case series to assess changes in arthrokinematics following unilateral SLIL injury preoperatively and 1-year postoperatively. Patients were treated with volar ligament repair with volar capsulodesis and arthroscopic dorsal capsulodesis. Arthrokinematics were compared between uninjured, preoperative injured, and postoperative injured (repaired) wrists. Results 4DCT detected changes in interosseous distances during flexion-extension and radioulnar deviation. Generally, radioscaphoid joint distances were greatest in the uninjured wrist during flexion-extension and radioulnar deviation, and SL interval distances were smallest in the uninjured wrist during flexion-extension and radioulnar deviation. Conclusion 4DCT provides insight into carpal arthrokinematics during motion. Distances between the radioscaphoid joint and SL interval can be displayed as proximity maps or as simplified descriptive statistics to facilitate comparisons between wrists and time points. These data offer insight into areas of concern for decreased interosseous distance and increased intercarpal diastasis. This method may allow surgeons to assess whether (1) injury can be visualized during motion, (2) surgery repaired the injury, and (3) surgery restored normal carpal motion. Level of Evidence Level IV, Case series.
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Affiliation(s)
- Taylor P. Trentadue
- Mayo Clinic Medical Scientist Training Program and Mayo Clinic Graduate Program in Biomedical Engineering and Physiology, Assistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota
| | - Cesar Lopez
- Assistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota
| | - Ryan E. Breighner
- Department of Radiology and Imaging, Hospital for Special Surgery, New York, New York
| | - Kalli Fautsch
- Assistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota
| | - Shuai Leng
- Computed Tomography Clinical Innovation Center, Mayo Clinic, Rochester, Minnesota
| | - David R. Holmes III
- Biomedical Imaging Resource Division, Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota
| | - Steven L. Moran
- Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Andrew R. Thoreson
- Assistive and Restorative Technology Laboratory, Mayo Clinic, Rochester, Minnesota
| | - Sanjeev Kakar
- Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Kristin D. Zhao
- Assistive and Restorative Technology Laboratory, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota
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10
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Ibad HA, de Cesar Netto C, Shakoor D, Sisniega A, Liu S, Siewerdsen JH, Carrino JA, Zbijewski W, Demehri S. Computed Tomography: State-of-the-Art Advancements in Musculoskeletal Imaging. Invest Radiol 2023; 58:99-110. [PMID: 35976763 PMCID: PMC9742155 DOI: 10.1097/rli.0000000000000908] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
ABSTRACT Although musculoskeletal magnetic resonance imaging (MRI) plays a dominant role in characterizing abnormalities, novel computed tomography (CT) techniques have found an emerging niche in several scenarios such as trauma, gout, and the characterization of pathologic biomechanical states during motion and weight-bearing. Recent developments and advancements in the field of musculoskeletal CT include 4-dimensional, cone-beam (CB), and dual-energy (DE) CT. Four-dimensional CT has the potential to quantify biomechanical derangements of peripheral joints in different joint positions to diagnose and characterize patellofemoral instability, scapholunate ligamentous injuries, and syndesmotic injuries. Cone-beam CT provides an opportunity to image peripheral joints during weight-bearing, augmenting the diagnosis and characterization of disease processes. Emerging CBCT technologies improved spatial resolution for osseous microstructures in the quantitative analysis of osteoarthritis-related subchondral bone changes, trauma, and fracture healing. Dual-energy CT-based material decomposition visualizes and quantifies monosodium urate crystals in gout, bone marrow edema in traumatic and nontraumatic fractures, and neoplastic disease. Recently, DE techniques have been applied to CBCT, contributing to increased image quality in contrast-enhanced arthrography, bone densitometry, and bone marrow imaging. This review describes 4-dimensional CT, CBCT, and DECT advances, current logistical limitations, and prospects for each technique.
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Affiliation(s)
- Hamza Ahmed Ibad
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Cesar de Cesar Netto
- Department of Orthopaedics and Rehabilitation, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Delaram Shakoor
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Alejandro Sisniega
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Stephen Liu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Jeffrey H Siewerdsen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - John A. Carrino
- Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY, USA
| | - Wojciech Zbijewski
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Shadpour Demehri
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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11
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Zarenia M, Arpinar VE, Nencka AS, Muftuler LT, Koch KM. Dynamic tracking of scaphoid, lunate, and capitate carpal bones using four-dimensional MRI. PLoS One 2022; 17:e0269336. [PMID: 35653348 PMCID: PMC9162359 DOI: 10.1371/journal.pone.0269336] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 05/18/2022] [Indexed: 11/18/2022] Open
Abstract
A preliminary exploration of technical methodology for dynamic analysis of scaphoid, capitate, and lunate during unconstrained movements is performed in this study. A heavily accelerated and fat-saturated 3D Cartesian MRI acquisition was used to capture temporal frames of the unconstrained moving wrist of 5 healthy subjects. A slab-to-volume point-cloud based registration was then utilized to register the moving volumes to a high-resolution image volume collected at a neutral resting position. Comprehensive in-silico error analyses for different acquisition parameter settings were performed to evaluate the performance limits of several dynamic metrics derived from the registration parameters. Computational analysis suggested that sufficient volume coverage for the dynamic acquisitions was reached when collecting 12 slice-encodes at 2.5mm resolution, which yielded a temporal resolution of and 2.6 seconds per volumetric frame. These acquisition parameters resulted in total in-silico errors of 1.9°±1.8° and 3°±4.6° in derived principal rotation angles within ulnar-radial deviation and flexion-extension motion, respectively. Rotation components of the carpal bones in the radius coordinate system were calculated and found to be consistent with earlier 4D-CT studies. Temporal metric profiles derived from ulnar-radial deviation motion demonstrated better performance than those derived from flexion/extension movements. Future work will continue to explore the use of these methods in deriving more complex dynamic metrics and their application to subjects with symptomatic carpal dysfunction.
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Affiliation(s)
- Mohammad Zarenia
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States of America
- * E-mail:
| | - Volkan Emre Arpinar
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States of America
| | - Andrew S. Nencka
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States of America
| | - L. Tugan Muftuler
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States of America
| | - Kevin M. Koch
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States of America
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12
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Gill D, Lyer S, Alexiou C, Fried F, Buder T, Neuhuber W, Jacxsens M, Horch RE, Arkudas A. Anatomical Study of all Carpal and Adjoining Bones of the Wrist using 3D CT Reconstruction - Finding the ultimate Biomechanical Theory. Ann Anat 2022; 242:151909. [PMID: 35189269 DOI: 10.1016/j.aanat.2022.151909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 11/28/2021] [Accepted: 01/30/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND The complex interplay of single wrist bones acting in combination with their ligamentous connections is still not fully understood. In this regard various theories exist, divisible in columnar and ring/row theories. The object of this study was to examine the mobility of the individual carpal bones as well as the ulna and metacarpals relative to each other in wrists of cadaveric hands using CT scans. METHODS The regular wrist mobility of a total of 21 cadaveric hands was examined by CT imaging in neutral position, radial/ulnar abduction as well as wrist flexion and extension. The data were evaluated as 3D models by using a standardized global coordinate system and object coordinate systems. Rotation and translation of each carpal bone as well as radius/ulna and all metacarpal bones were evaluated. RESULTS The principal motion took place in the carpus between the radius and the proximal carpal row followed by the midcarpal joint and the carpometacarpal joints and not mainly between the individual bones of a row. The scaphoid moves out of its row aggregate mainly during flexion and adapts to the motion of the distal carpal row. The trapezium and first metacarpal bones play a specific role detached from the remaining bones. CONCLUSIONS With this study, a better understanding of the motion of the individual bones of the carpus, the metacarpals and the radius/ulna is shown. The study supports the row theory, where most motion takes place between the individual rows and not between the carpal bones, leaving the scaphoid and the first ray in a special role between the rows.
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Affiliation(s)
- Dominik Gill
- Department of Plastic and Hand Surgery, Laboratory for Tissue Engineering and Regenerative Medicine, University Hospital Erlangen, Friedrich Alexander University Erlangen-Nuernberg FAU, Erlangen, Germany
| | - Stefan Lyer
- Department of Otorhinolaryngology, Head & Neck Surgery, Section of Experimental Oncology & Nanomedicine (SEON), Else Kröner-Fresenius-Stiftung-Professorship, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nuernberg FAU, Erlangen, Germany
| | - Christoph Alexiou
- Department of Otorhinolaryngology, Head & Neck Surgery, Section of Experimental Oncology & Nanomedicine (SEON), Else Kröner-Fresenius-Stiftung-Professorship, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nuernberg FAU, Erlangen, Germany
| | - Frederik Fried
- Department of Plastic and Hand Surgery, Laboratory for Tissue Engineering and Regenerative Medicine, University Hospital Erlangen, Friedrich Alexander University Erlangen-Nuernberg FAU, Erlangen, Germany
| | - Thomas Buder
- Institute of Anatomy and Cell Biology, Chair I, Friedrich Alexander University Erlangen-Nuernberg FAU, Erlangen, Germany
| | - Winfried Neuhuber
- Institute of Anatomy and Cell Biology, Chair I, Friedrich Alexander University Erlangen-Nuernberg FAU, Erlangen, Germany
| | - Matthijs Jacxsens
- Department of Orthopaedic Surgery and Traumatology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Raymund E Horch
- Department of Plastic and Hand Surgery, Laboratory for Tissue Engineering and Regenerative Medicine, University Hospital Erlangen, Friedrich Alexander University Erlangen-Nuernberg FAU, Erlangen, Germany
| | - Andreas Arkudas
- Department of Plastic and Hand Surgery, Laboratory for Tissue Engineering and Regenerative Medicine, University Hospital Erlangen, Friedrich Alexander University Erlangen-Nuernberg FAU, Erlangen, Germany.
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13
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Brinkhorst M, Foumani M, van Rosmalen J, Selles R, Hovius S, Strackee S, Streekstra G. Four-dimensional CT analysis of carpal kinematics: An explorative study on the effect of sex and hand-dominance. J Biomech 2021; 139:110870. [PMID: 34838290 DOI: 10.1016/j.jbiomech.2021.110870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 11/13/2021] [Accepted: 11/16/2021] [Indexed: 10/19/2022]
Abstract
Wrist pathology is often diagnosed by using the contralateral wrist as a comparison of baseline motion and strength. However, recent range of motion studies suggest that females have different carpal motion patterns compared to males and that the dominant carpal bones have different motion patterns. The purpose of this study is to evaluate the effect of sex and hand dominance on in vivo kinematics of the scaphoid, lunate and capitate using four-dimensional computed tomography (4D-CT) analysis in healthy uninjured volunteers. In this prospective study, both wrist of 20 uninjured Caucasian volunteers (11 men and 9 women) were assessed using 4D-CT during active flexion-extension and radial-ulnar deviation. A linear mixed model was used to compare the carpal motion patterns. Sex had no influence on carpal kinematics. Hand-dominance in males did have a significant effect on carpal kinematics. During flexion-extension of the male wrist, more radial-ulnar deviation of the lunate, scaphoid and capitate of the non-dominant hand was seen. During radial-ulnar deviation of the male wrist, radial-ulnar deviation and pro-supination of the lunate was more in the dominant hand. This study provides a better understanding of carpal kinematics and the effect of sex and hand-dominance on the scaphoid, lunate and capitate in uninjured wrists.
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Affiliation(s)
- Michelle Brinkhorst
- Department of Plastic, Reconstructive and Hand Surgery, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
| | - Mahyar Foumani
- Department of Plastic, Reconstructive and Hand Surgery, Martini Hospital, Groningen, the Netherlands.
| | - Joost van Rosmalen
- Department of Biostatistics, Erasmus MC, University Medical Center, Rotterdam, Rotterdam, the Netherlands.
| | - Ruud Selles
- Department of Plastic, Reconstructive and Hand Surgery, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Rehabilitation Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
| | - Steven Hovius
- Xpert Clinic, Hand and Wrist Clinic, the Netherlands; Department of Plastic, Reconstructive and Hand Surgery, Radboudumc, Nijmegen, the Netherlands
| | - Simon Strackee
- Department of Plastic, Reconstructive and Hand Surgery, Amsterdam UMC, University of Amsterdam, the Netherlands.
| | - Geert Streekstra
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
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