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Related Concept Videos

Functional Classification of Joints01:09

Functional Classification of Joints

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Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
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Bones of the Upper Limb: Humerus01:19

Bones of the Upper Limb: Humerus

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The upper limb consists of the arm, forearm, wrist, and hand bones. The humerus is the single bone of the upper arm region. Proximally, it has a large, spherical, smooth head that articulates with the glenoid cavity of the scapula to form the glenohumeral or shoulder joint. The margin of the head is the anatomical neck, a residual epiphyseal plate. Laterally it extends to form bony projections called the greater tubercle and the lesser tubercle. Next to the tubercles is the surgical neck, a...
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Structural Classification of Joints01:20

Structural Classification of Joints

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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
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Bones of the Upper Limb: Ulna01:15

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The ulna and radius are parallel bones of the antebrachium or the forearm. The ulna lies medially and consists of a bony tip called the olecranon process at its proximal end. This hook-like projection articulates with the olecranon fossa of the humerus and forms the "hinged" ulnohumeral part of the elbow joint. This joint facilitates forearm extension and flexion while preventing its hyperextension. Similarly, the coronoid process, another bony projection on the proximal/anterior side...
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Bones of the Upper Limb: Radius01:09

Bones of the Upper Limb: Radius

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The radius is longer of the two bones that make up the human antebrachium or forearm. At the proximal end, the radius articulates with the capitulum of the humerus and the radial notch of the ulna to form the elbow joint. At the distal end, the radius articulates with the ulna via the ulnar notch, forming the distal radioulnar joint. Distally, the radius also attaches to the carpal wrist bones (scaphoid and lunate) to form the radiocarpal joint.
The radius has a nail-shaped head, and a...
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Joints01:26

Joints

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Joints, also called articulations or articular surfaces, are points at which ligaments or other tissues connect adjacent bones. Joints permit movement and stability, and can be classified based on their structure or function.
Structural joint classifications are based on the material that makes up the joint as well as whether or not the joint contains a space between the bones. Joints are structurally classified as fibrous, cartilaginous, or synovial.
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Related Experiment Video

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Reverse Total Shoulder Arthroplasty
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Elbow Joint Classification for Total Elbow Arthroplasty.

Jun Wang, Yongxing Zhang, Xiying Ding

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 3, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Developing new elbow joint classification methods improves total elbow arthroplasty (TEA) by addressing prosthesis mismatch. This research introduces shape and anatomical feature algorithms for better prosthesis design and patient matching.

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    Area of Science:

    • Orthopedic surgery
    • Biomedical engineering
    • Medical imaging analysis

    Background:

    • Total elbow arthroplasty (TEA) frequently experiences prosthesis mismatch due to current design limitations.
    • Existing elbow prostheses do not adequately cater to diverse patient morphologies.
    • Accurate classification of elbow joint variations is needed for improved prosthesis design.

    Purpose of the Study:

    • To develop and evaluate novel elbow joint classification algorithms.
    • To address the challenge of prosthesis mismatch in TEA surgeries.
    • To advance the design of patient-specific elbow prostheses.

    Main Methods:

    • Utilized shape features from Riemannian manifold and anatomical features from 3D measurements for classification.
    • Employed computed tomography (CT) scan images from 120 individuals for quantitative evaluation.
    • Developed two distinct classification algorithms based on extracted features.

    Main Results:

    • The shape-based classification algorithm demonstrated superior cluster compactness and separability.
    • This algorithm provided a better understanding of morphological variations in elbow joints.
    • Key clinical variations, including gender differences, were successfully captured by the shape-based method.

    Conclusions:

    • The proposed classification algorithms offer a significant advancement in understanding elbow joint morphology.
    • These methods can lead to the development of more diverse and accurately matched elbow prostheses.
    • This study is the first to classify elbow joints using shape and anatomical features from CT scans.