{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T14:41:59Z","timestamp":1787496119005,"version":"build-2736575974"},"reference-count":38,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T00:00:00Z","timestamp":1750118400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2023YFC2507703"],"award-info":[{"award-number":["2023YFC2507703"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Bioengineering"],"abstract":"<jats:p>(1) Background: Patients with mild cervical spondylotic myelopathy (CSM) who delay surgery risk progression. While PET evaluates spinal cord function, its cost and radiation limit its use. (2) Methods: In this prospective study, patients with mild cervical spondylosis underwent preoperative 18F-FDG PET-MRI. Narrowed spinal levels were classified based on whether SUVmax was decreased. Follow-up assessments were conducted. Two machine learning models using MRI T2-based radiomics were developed to identify stenotic levels and decreased SUVmax. (3) Results: Patients with normal SUVmax showed greater symptom improvement. The radiomics models performed well, with AUCs of 0.981\/0.962 (training\/testing) for stenosis detection and 0.830\/0.812 for predicting SUVmax decline. The model outperformed clinicians in predicting SUVmax decline, improving the AUC by 10%. (4) Conclusion: Patients with preserved SUVmax have better outcomes. MRI-based radiomics shows potential for identifying stenosis and predicting spinal cord function changes for preoperative assessment, though larger studies are needed to validate its clinical utility.<\/jats:p>","DOI":"10.3390\/bioengineering12060666","type":"journal-article","created":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T10:45:26Z","timestamp":1750157126000},"page":"666","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["MRI-Based Machine Learning and Radiomics Methods for Assessing Spinal Cord Function in Patients with Mild Cervical Spondylotic Myelopathy"],"prefix":"10.3390","volume":"12","author":[{"given":"He","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Xicheng District, Beijing 100053, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Xicheng District, Beijing 100053, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yutian","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Xicheng District, Beijing 100053, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenlei","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Xicheng District, Beijing 100053, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Xicheng District, Beijing 100053, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shanhang","family":"Jia","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Xicheng District, Beijing 100053, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"He","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, China-Japan Friendship School of Clinical Medicine, Peking University, No. 2 Yinghuayuan East Street, Chaoyang District, Beijing 100029, China"},{"name":"Department of Neurosurgery, China-Japan Friendship Hospital, No. 2 Yinghuayuan East Street, Chaoyang District, Beijing 100029, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Xicheng District, Beijing 100053, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Xicheng District, Beijing 100053, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,6,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1038\/s41582-019-0303-0","article-title":"Degenerative cervical myelopathy\u2014Update and future directions","volume":"16","author":"Badhiwala","year":"2020","journal-title":"Nat. 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