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Trentadue TP, Thoreson A, Lopez C, Breighner RE, Leng S, Holmes DR, Kakar S, Rizzo M, Zhao KD. Morphology of the scaphotrapeziotrapezoid joint: A multi-domain statistical shape modeling approach. J Orthop Res 2024. [PMID: 38956833 DOI: 10.1002/jor.25918] [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: 01/26/2024] [Revised: 05/29/2024] [Accepted: 05/30/2024] [Indexed: 07/04/2024]
Abstract
The scaphotrapeziotrapezoid (STT) joint is involved in load transmission between the wrist and thumb. A quantitative description of baseline STT joint morphometrics is needed to capture the variation of normal anatomy as well as to guide staging of osteoarthritis. Statistical shape modeling (SSM) techniques quantify variations in three-dimensional shapes and relative positions. The objectives of this study are to describe the morphology of the STT joint using a multi-domain SSM. We asked: (1) What are the dominant modes of variation that impact bone and articulation morphology at the STT joint, and (2) what are the morphometrics of SSM-generated STT joints? Thirty adult participants were recruited to a computed tomography study of normal wrist imaging and biomechanics. Segmentations of the carpus were converted to three-dimensional triangular surface meshes. A multi-domain, particle-based entropy system SSM was used to quantify variation in carpal bone shape and position as well as articulation morphology. Articular surface areas and interosseous proximity distributions were calculated between mesh vertex pairs on adjacent bones within distance (2.0 mm) and surface-normal angular (35°) thresholds. In the SSM, the first five modes of variation captured 76.2% of shape variation and contributed to factors such as bone scale, articular geometries, and carpal tilt. Median interosseous proximities-a proxy for joint space-were 1.39 mm (scaphotrapezium), 1.42 mm (scaphotrapezoid), and 0.61 mm (trapeziotrapezoid). This study quantifies morphological and articular variations at the STT joint, presenting a range of normative anatomy. The range of estimated interosseous proximities may guide interpretation of imaging-derived STT joint space.
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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, Minnesota, USA
- Mayo Clinic Medical Scientist Training Program, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Graduate Program in Biomedical Engineering and Physiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Andrew Thoreson
- Assistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota, USA
| | - Cesar Lopez
- Assistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota, USA
| | - Ryan E Breighner
- Department of Radiology and Imaging, Hospital for Special Surgery, New York City, New York, USA
| | - Shuai Leng
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA
- Department of Radiology, Mayo Clinic Computed Tomography Clinical Innovation Center, Mayo Clinic, Rochester, Minnesota, USA
| | - David R Holmes
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA
- Biomedical Imaging Resource Core Facility, Mayo Clinic, Rochester, Minnesota, USA
| | - Sanjeev Kakar
- Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Marco Rizzo
- Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Kristin D Zhao
- Assistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Graduate Program in Biomedical Engineering and Physiology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA
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Imhauser C. CORR Insights®: Differences in Cortical Activation During Dorsiflexion and Plantarflexion in Chronic Ankle Instability: A Task-fMRI Study. Clin Orthop Relat Res 2024; 482:827-830. [PMID: 38289693 PMCID: PMC11008632 DOI: 10.1097/corr.0000000000002991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 01/05/2024] [Indexed: 02/01/2024]
Affiliation(s)
- Carl Imhauser
- Department of Biomechanics, Hospital for Special Surgery, New York, NY, USA
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Cain JD, Vlahovic T, Meyr AJ. Special Considerations in Podiatric Science: Translational Research, Cadavers, Gait Analysis, Dermatology, and Databases. Clin Podiatr Med Surg 2024; 41:333-341. [PMID: 38388129 DOI: 10.1016/j.cpm.2023.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
The objective of this article is to provide a brief overview of the critical analysis and design of unique and perhaps less common methodologies in podiatric science. These include basic science translational designs, cadaveric investigations, gait analyses, dermatologic studies, and database analysis. The relative advantages, disadvantages, and inherent limitations are reviewed with an intention to improve the interpretation of results and advance future foot and ankle scientific endeavors.
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Affiliation(s)
- Jarrett D Cain
- Department of Orthopedic Surgery, University of Pittsburgh School of Medicine, University of Pittsburgh Physicians, 1515 Locust Street #350, Pittsburgh, PA 15219, USA
| | - Tracey Vlahovic
- Department of Medicine, Temple University School of Podiatric Medicine, 148 North 8th Street, Philadelphia, PA 19107, USA
| | - Andrew J Meyr
- Department of Surgery, Temple University School of Podiatric Medicine, 148 North 8th Street, Philadelphia, PA 19107, USA.
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Requist MR, Mills MK, Carroll KL, Lenz AL. Quantitative Skeletal Imaging and Image-Based Modeling in Pediatric Orthopaedics. Curr Osteoporos Rep 2024; 22:44-55. [PMID: 38243151 DOI: 10.1007/s11914-023-00845-z] [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] [Accepted: 12/19/2023] [Indexed: 01/21/2024]
Abstract
PURPOSE OF REVIEW Musculoskeletal imaging serves a critical role in clinical care and orthopaedic research. Image-based modeling is also gaining traction as a useful tool in understanding skeletal morphology and mechanics. However, there are fewer studies on advanced imaging and modeling in pediatric populations. The purpose of this review is to provide an overview of recent literature on skeletal imaging modalities and modeling techniques with a special emphasis on current and future uses in pediatric research and clinical care. RECENT FINDINGS While many principles of imaging and 3D modeling are relevant across the lifespan, there are special considerations for pediatric musculoskeletal imaging and fewer studies of 3D skeletal modeling in pediatric populations. Improved understanding of bone morphology and growth during childhood in healthy and pathologic patients may provide new insight into the pathophysiology of pediatric-onset skeletal diseases and the biomechanics of bone development. Clinical translation of 3D modeling tools developed in orthopaedic research is limited by the requirement for manual image segmentation and the resources needed for segmentation, modeling, and analysis. This paper highlights the current and future uses of common musculoskeletal imaging modalities and 3D modeling techniques in pediatric orthopaedic clinical care and research.
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Affiliation(s)
- Melissa R Requist
- Department of Orthopaedics, University of Utah, 590 Wakara Way, Salt Lake City, UT, 84108, USA
- Department of Biomedical Engineering, University of Utah, 36 S Wasatch Dr., Salt Lake City, UT, 84112, USA
| | - Megan K Mills
- Department of Radiology and Imaging Sciences, University of Utah, 30 N Mario Capecchi Dr. 2 South, Salt Lake City, UT, 84112, USA
| | - Kristen L Carroll
- Department of Orthopaedics, University of Utah, 590 Wakara Way, Salt Lake City, UT, 84108, USA
- Shriners Hospital for Children, 1275 E Fairfax Rd, Salt Lake City, UT, 84103, USA
| | - Amy L Lenz
- Department of Orthopaedics, University of Utah, 590 Wakara Way, Salt Lake City, UT, 84108, USA.
- Department of Biomedical Engineering, University of Utah, 36 S Wasatch Dr., Salt Lake City, UT, 84112, USA.
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Yu P, Cen X, Xiang L, Mei Q, Wang A, Gu Y, Fernandez J. Regional plantar forces and surface geometry variations of a chronic ankle instability population described by statistical shape modelling. Gait Posture 2023; 106:11-17. [PMID: 37611480 DOI: 10.1016/j.gaitpost.2023.08.007] [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: 05/31/2023] [Revised: 08/03/2023] [Accepted: 08/17/2023] [Indexed: 08/25/2023]
Abstract
BACKGROUND Understanding detailed foot morphology as well as regional plantar forces could provide insight into foot function and provide recommendation for footwear design for chronic ankle instability (CAI) people. RESEARCH QUESTION This study presented 3-dimensional statistical shape models of feet from three different populations including CAI, copers and healthy individuals, with regional plantar forces also acquired. METHODS Sixty-six males (22 participants per group) were included in this study to capture 3-dimensional foot shapes under a standing condition and regional plantar forces during a cutting maneuver. Principal component analysis was performed to generate a mean foot shape of each group as well as modes of variations. A generalized procrustes analysis was used to achieve rapid registration of mean shapes. Besides, regional plantar forces and contact duration among these three populations were compared. RESULTS For 3-dimensional foot shapes, although no significant differences of the average distance between each mode and mean shape were found among three populations, there were subtle variations in mean shapes. The CAI population presented a more bulging of the lateral malleolus; copers were characterized by the flexion of the lesser toes, a more bulging of the medial foot in the sagittal plane; and healthy individuals showed a greater heel width and a more bulging of the heel in the sagittal plane. In terms of plantar forces, healthy individuals had significantly greater summated plantar forces and greater plantar forces in the lateral heel area during the early contact phase compared to copers and CAI participants. SIGNIFICANCE Overall, this study suggested that repetitive ankle sprains may lead to the bulging of the lateral malleolus. Further, CAI and copers seem to stabilize the ankle joint by medially shifting the center of pressure compared to healthy individuals under the static and less challenging dynamic conditions.
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Affiliation(s)
- Peimin Yu
- Faculty of Sports Science, Ningbo University, Ningbo, China; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
| | - Xuanzhen Cen
- Faculty of Sports Science, Ningbo University, Ningbo, China; Doctoral School on Safety and Security Sciences, Óbuda University, Budapest, Hungary; Faculty of Engineering, University of Szeged, Szeged, Hungary
| | - Liangliang Xiang
- Faculty of Sports Science, Ningbo University, Ningbo, China; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
| | - Qichang Mei
- Faculty of Sports Science, Ningbo University, Ningbo, China; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
| | - Alan Wang
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
| | - Yaodong Gu
- Faculty of Sports Science, Ningbo University, Ningbo, China; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
| | - Justin Fernandez
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand; Department of Engineering Science, University of Auckland, Auckland, New Zealand
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