{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T17:06:17Z","timestamp":1792083977675,"version":"4.4.0"},"reference-count":21,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T00:00:00Z","timestamp":1738022400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Ophthalmology"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To investigate the predictive value of MRI-based radiomics models for the recovery of visual acuity after 12 months in patients with acute phase MOG-optic neuritis(MOG-ON).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>Clinical and MRI imaging data were collected consecutively from January 2021 to April 2022 from patients with acute stage MOG-ON, and the visual acuity of patients were followed up after 12 months. After stratified random sampling, patients were divided into training and test sets, and prediction models based on CE-T1WI, FS-T2WI, and combined CE-T1WI and FS-T2WI were developed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 34 eyes were included, the visual acuity recovery group included 26 eyes, and the visual acuity non-recovery group included 8 eyes. The training set included 23 eyes (18 from the visual acuity recovery group and 5 from the visual acuity non-recovery group) and the test set included 11 eyes (8 from the visual acuity recovery group and 3 from the visual acuity non-recovery group). The differences in gender, age, proportion of patients with visual acuity recovery, and lesion length between the training and test sets were not statistically significant(P\uff1c0.05). The CE-T1WI-based radiomics model had highest predictive efficacy for visual acuity recovery after 12 months in patients with MOG-ON (AUC\u2009=\u20090.917), followed by the combined CE-T1WI and FS-T2WI-based radiomics model (AUC\u2009=\u20090.838), while the FS-T2WI-based radiomics model had the worst predictive efficacy (AUC\u2009=\u20090.583).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>MRI-based radiomics models have high value in predicting visual acuity recovery after 12 months in patients with acute stage MOG-ON, especially CE-T1WI.<\/jats:p>\n                  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