Summary
Purpose
This narrative review summarizes original research focusing on imaging in osteoarthritis
(OA) published between April 1st 2021 and March 31st 2022. We only considered English
publications that were in vivo human studies.
Methods
The PubMed, Medline, Embase, Scopus, and ISI Web of Science databases were searched
for “Osteoarthritis/OA” studies based on the search terms: “Radiography”, “Ultrasound/US”,
“Computed Tomography/CT”, “DXA”, “Magnetic Resonance Imaging/MRI”, “Artificial Intelligence/AI”,
and “Deep Learning”. This review highlights the anatomical focus of research on the
structures within the tibiofemoral, patellofemoral, hip, and hand joints. There is
also a noted focus on artificial intelligence applications in OA imaging.
Results
Over the last decade, the increasing trend of using open-access large databases has
reached a plateau (from 17 to 37). Compositional MRI has had the most prominent use
in OA imaging and its biomarkers have been used in the detection of preclinical OA
and prediction of OA outcomes. Most noteworthy, there has been an accelerated rate
of publications on the implications of artificial intelligence, used in developing
prediction models and performing trabecular texture analysis, in OA imaging (from
17 to 154).
Conclusions
While imaging has maintained its key role in OA research, publication trends have
shown an emphasis on the integration of AI. During the past year, MRI has maintained
the highest prevalence in usage while US and CT remain as readily available modalities.
Finally, there has been a notable uptake in the development and validation of AI techniques
used to perform texture analysis and predict OA progression.
Keywords
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Article info
Publication history
Published online: March 14, 2023
Accepted:
March 8,
2023
Received:
October 31,
2022
Publication stage
In Press Journal Pre-ProofIdentification
Copyright
© 2023 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.
