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Knee Joint

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Ankle Joint

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Related Experiment Video

Updated: Aug 6, 2025

Tissue Collection and RNA Extraction from the Human Osteoarthritic Knee Joint

Tissue Collection and RNA Extraction from the Human Osteoarthritic Knee Joint

Published on: July 22, 2021

Osteoarthritis year in review 2022: imaging.

S Demehri¹, A Kasaeian¹, F W Roemer²

¹Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Osteoarthritis and Cartilage

|March 16, 2023

Summary

Recent osteoarthritis imaging research highlights artificial intelligence (AI) integration. Magnetic resonance imaging (MRI) remains prevalent, while AI shows promise in predicting disease progression and analyzing joint structures.

Keywords:

Artificial intelligence Imaging Osteoarthritis Review

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Last Updated: Aug 6, 2025

Tissue Collection and RNA Extraction from the Human Osteoarthritic Knee Joint

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Published on: July 22, 2021

Synovial Fluid Analysis to Identify Osteoarthritis

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Standardized Histomorphometric Evaluation of Osteoarthritis in a Surgical Mouse Model

Standardized Histomorphometric Evaluation of Osteoarthritis in a Surgical Mouse Model

Published on: May 6, 2020

Area of Science:

Orthopedics and Imaging Science
Biomedical Engineering and Artificial Intelligence

Background:

Osteoarthritis (OA) research increasingly utilizes advanced imaging techniques.
Large open-access databases are a growing resource in OA studies.

Purpose of the Study:

To review original research on osteoarthritis imaging published between April 2021 and March 2022.
To focus on in vivo human studies of OA imaging modalities and artificial intelligence applications.

Main Methods:

Systematic literature search of PubMed, Medline, Embase, Scopus, and ISI Web of Science.
Keywords included "Osteoarthritis/OA", "Radiography", "Ultrasound/US", "Computed Tomography/CT", "DXA", "Magnetic Resonance Imaging/MRI", "Artificial Intelligence/AI", and "Deep Learning".
Analysis of research focus on tibiofemoral, patellofemoral, hip, and hand joints.

Main Results:

Compositional MRI is a prominent imaging modality for OA, with biomarkers aiding preclinical detection and outcome prediction.
A significant increase in publications on artificial intelligence applications in OA imaging, including prediction models and trabecular texture analysis.
The use of open-access large databases has plateaued.

Conclusions:

Imaging remains crucial in osteoarthritis research, with a growing emphasis on integrating artificial intelligence (AI).
Magnetic resonance imaging (MRI) shows the highest prevalence, while ultrasound (US) and computed tomography (CT) are readily available.
AI techniques for texture analysis and OA progression prediction are seeing increased development and validation.