{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T03:22:30Z","timestamp":1780543350989,"version":"3.54.1"},"reference-count":77,"publisher":"Georg Thieme Verlag KG","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Semin Musculoskelet Radiol"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Knee injuries are one of the most common complaints in sports medicine. Magnetic resonance imaging is an essential adjunct to clinical evaluation for many traumatic injuries and overuse conditions. Given the heavy use of knee magnetic resonance imaging, developing faster magnetic resonance imaging acquisition methods and deployment in clinical practice would be valuable. In this article, we illustrate a spectrum of knee abnormalities from our clinical practice, utilizing a recently developed, publicly available sub-5-minute knee magnetic resonance imaging protocol with super-resolution image reconstruction based on deep learning. We review common traumatic injuries and overuse conditions of the knee and illustrate cases with this novel fast knee magnetic resonance imaging protocol.<\/jats:p>","DOI":"10.1055\/a-2798-5775","type":"journal-article","created":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T05:51:18Z","timestamp":1772603478000},"page":"119-132","source":"Crossref","is-referenced-by-count":1,"title":["What's New: Sub-5-minute Knee Magnetic Resonance Imaging\u2013 Spectrum of Sports Injuries and Overuse Conditions"],"prefix":"10.1055","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-1125-5933","authenticated-orcid":false,"given":"Sophie","family":"Leung","sequence":"additional","affiliation":[{"name":"Department of Musculoskeletal Radiology, NYU Langone Health, New York, New York, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4456-3043","authenticated-orcid":false,"given":"Jan","family":"Fritz","sequence":"additional","affiliation":[{"name":"Department of Musculoskeletal Radiology, NYU Langone Health, New York, New York, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"194","published-online":{"date-parts":[[2026,3,3]]},"reference":[{"issue":"01","key":"ref1","doi-asserted-by":"crossref","first-page":"e2532878","DOI":"10.2214\/AJR.25.32878","article-title":"Clinical implementation of sixfold-accelerated deep learning superresolution knee MRI in under 5\u2009minutes: arthroscopy-validated diagnostic performance","volume":"225","author":"J Vosshenrich","year":"2025","journal-title":"AJR Am J Roentgenol"},{"issue":"01","key":"ref2","doi-asserted-by":"crossref","first-page":"e2533205","DOI":"10.2214\/AJR.25.33205","article-title":"Sub-5-minute knee MRI with promising 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