{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T12:23:27Z","timestamp":1777638207791,"version":"3.51.4"},"reference-count":23,"publisher":"Public Library of Science (PLoS)","issue":"6","license":[{"start":{"date-parts":[[2023,6,28]],"date-time":"2023-06-28T00:00:00Z","timestamp":1687910400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100017051","name":"College of Medicine, Seoul National University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100017051","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100017051","name":"College of Medicine, Seoul National University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100017051","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100017051","name":"College of Medicine, Seoul National University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100017051","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:sec id=\"sec001\">\n<jats:title>Objective<\/jats:title>\n<jats:p>To evaluate the feasibility and clinical usefulness of deep learning (DL)-accelerated turbo spin echo (TSE<jats:sub>DL<\/jats:sub>) sequences relative to standard TSE sequences (TSE<jats:sub>S<\/jats:sub>) for acute radius fracture patients wearing a splint.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec002\">\n<jats:title>Methods<\/jats:title>\n<jats:p>This prospective consecutive study investigated 50 patients\u2019 preoperative wrist MRI scans acquired between July 2021 and January 2022. Examinations were performed at 3 Tesla MRI with body array coils due to the wrist splint. Besides TSE<jats:sub>S<\/jats:sub> obtained according to the routine protocol, TSE<jats:sub>DL<\/jats:sub> sequences for axial T2-, coronal T1-, and coronal PD-weighted TSE sequences were scanned for comparison. For quantitative assessment, the relative signal-to-noise ratio (rSNR), the relative contrast-to-noise ratio (rCNR), and the relative contrast ratio (rCR) were measured. For qualitative assessment, all images were assessed by two independent musculoskeletal radiologists in terms of perceived SNR, image contrast, image sharpness, artifacts disturbing evaluation, overall image quality and diagnostic confidence for injuries using a four- or five-point Likert scale.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec003\">\n<jats:title>Results<\/jats:title>\n<jats:p>The scan time was shortened approximately by a factor of two for TSE<jats:sub>DL<\/jats:sub> compared to TSE<jats:sub>S<\/jats:sub>. TSE<jats:sub>DL<\/jats:sub> images showed significantly better rSNR, rCNR, and rCR values for all sequences, and scored significantly better in terms of both image quality and diagnostic confidence for both readers than TSE<jats:sub>S<\/jats:sub> images (all <jats:italic>p<\/jats:italic> &lt; .05). Interrater reliabilities were in almost perfect agreement.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec004\">\n<jats:title>Conclusion<\/jats:title>\n<jats:p>The DL-accelerated technique proved to be very helpful not only to reduce scan time but also to improve image quality for acute painful fracture patients wearing a splint despite using body array coils instead of a wrist-specific coil. Based on our study, the DL-accelerated technique can be very useful for MRI of any part of the extremities in trauma settings just with body array coils.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0287903","type":"journal-article","created":{"date-parts":[[2023,6,28]],"date-time":"2023-06-28T17:31:08Z","timestamp":1687973468000},"page":"e0287903","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":3,"title":["Feasibility and clinical usefulness of deep learning-accelerated MRI for acute painful fracture patients wearing a splint: A prospective comparative study"],"prefix":"10.1371","volume":"18","author":[{"given":"Seunghyeon","family":"Roh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jae In","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gun 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