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Detecting OA before the onset of irreversible changes is crucial for early proactive management and limit growing disease burden. The more recent advanced quantitative imaging techniques and deep learning (DL) algorithms in musculoskeletal imaging have shown great potential for visualizing \u201cpre\u2010OA.\u201d In this review, we first focus on ultrashort echo time\u2010based magnetic resonance imaging (MRI) techniques for direct visualization as well as quantitative morphological and compositional assessment of both short\u2010 and long\u2010T2 musculoskeletal tissues, and second explore how DL revolutionize the way of MRI analysis (eg, automatic tissue segmentation and extraction of quantitative image biomarkers) and the classification, prediction, and management of OA.<\/jats:p><\/jats:sec><jats:sec><jats:title>Plain Language Summary<\/jats:title><jats:p>Detecting osteoarthritis (OA) before the onset of irreversible changes is crucial for early proactive management. OA is heterogeneous and involves structural changes in the whole joint, such as cartilage, meniscus\/labrum, ligaments, and tendons, mainly with short T2 relaxation times. Ultrashort echo time\u2010based magnetic resonance imaging (MRI), in particular, enables direct visualization and quantitative compositional assessment of short\u2010T2 tissues. Deep learning is revolutionizing the way of MRI analysis (eg, automatic tissue segmentation and extraction of quantitative image biomarkers) and the detection, classification, and prediction of disease. They together have made further advances toward identification of imaging biomarkers\/features for pre\u2010OA.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>5<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 2<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.29710","type":"journal-article","created":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T16:44:00Z","timestamp":1736527440000},"page":"40-57","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Visualizing Preosteoarthritis: Updates on <scp>UTE<\/scp>\u2010Based Compositional <scp>MRI<\/scp> and Deep Learning Algorithms"],"prefix":"10.1002","volume":"62","author":[{"given":"Dong","family":"Sun","sequence":"first","affiliation":[{"name":"Department of Radiology, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology  Wuhan 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