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A Morphometric and Cellular Analysis Method for the Murine Mandibular Condyle
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Published on: January 11, 2018

Quantitative Imaging of the Mandibular Condyle: Radiomics and Microarchitectural Biomarkers.

Daniel Negrete, Ana Cristina Borges-Oliveira, Marcos Murilo Alves Santos

    Medical Principles and Practice : International Journal of the Kuwait University, Health Science Centre
    |June 8, 2026
    PubMed
    Summary

    Radiomics analysis of temporomandibular joint (TMJ) imaging reveals subtle bone changes. Quantitative imaging shows promise for understanding TMJ disease, but requires further research for clinical use.

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    Area of Science:

    • Radiology and Imaging Science
    • Biomedical Engineering
    • Quantitative Medical Imaging

    Background:

    • Conventional temporomandibular joint (TMJ) imaging relies on qualitative assessments, often detecting only late-stage structural damage.
    • Radiomics offers quantitative data extraction from medical images, surpassing visual evaluation for tissue heterogeneity insights.

    Purpose of the Study:

    • To review current evidence on quantitative imaging of the mandibular condyle and subchondral bone in the TMJ.
    • To emphasize the application of radiomics using computed tomography (CT), cone-beam computed tomography (CBCT), and magnetic resonance imaging (MRI).

    Main Methods:

    • Narrative review of studies utilizing CT, CBCT, and MRI for quantitative TMJ imaging.
    • Analysis of radiomic features (texture and morphometric) for assessing trabecular organization and subchondral remodeling.
    • Evaluation of MRI's sensitivity to subchondral bone marrow changes.

    Main Results:

    • CT and CBCT radiomic features correlate with trabecular organization and subchondral bone remodeling, validated in experimental settings.
    • MRI demonstrates high sensitivity to subtle subchondral bone marrow alterations in inflammatory and degenerative TMJ conditions.
    • Radiomic features across modalities detect patterns of joint degeneration and adaptation.

    Conclusions:

    • Quantitative imaging, particularly radiomics, can identify TMJ disease patterns not visible on conventional imaging.
    • Current limitations include variability in imaging protocols and segmentation, and a lack of longitudinal data.
    • Quantitative imaging is currently a research tool supporting the development of imaging biomarkers for TMJ disease.