{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T05:29:45Z","timestamp":1785216585883,"version":"3.55.0"},"reference-count":30,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T00:00:00Z","timestamp":1759363200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81870905"],"award-info":[{"award-number":["81870905"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20A20358"],"award-info":[{"award-number":["U20A20358"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences","award":["2019-I2M-5-029"],"award-info":[{"award-number":["2019-I2M-5-029"]}]},{"name":"Beijing Hospitals Authority Innovation Studio of Young Staff Funding Support","award":["202113"],"award-info":[{"award-number":["202113"]}]},{"name":"Capital Medical University Research Funds","award":["PYZ22112"],"award-info":[{"award-number":["PYZ22112"]}]},{"name":"Capital Medical University Research Funds","award":["PYZ23115"],"award-info":[{"award-number":["PYZ23115"]}]},{"name":"Capital\u2019s Funds for Health Improvement and Research","award":["2020-1-2041"],"award-info":[{"award-number":["2020-1-2041"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82271329"],"award-info":[{"award-number":["82271329"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Noncommunicable Chronic Diseases-National Science and Technology Major Project of China","award":["2024ZD0527600"],"award-info":[{"award-number":["2024ZD0527600"]}]},{"name":"the Noncommunicable Chronic Diseases-National Science and Technology Major Project of China","award":["no.2024ZD0527604"],"award-info":[{"award-number":["no.2024ZD0527604"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Stroke"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Using mobile low-field magnetic resonance imaging (MRI) in the emergency department to detect cerebral infarction(s) in patients with minor ischemic stroke (MIS) and transient ischemic attack (TIA) has not yet been thoroughly reported.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim:<\/jats:title>\n                    <jats:p>We aimed to evaluate the performance of mobile low-field (0.23T) MRI in detecting acute ischemic infarction in MIS or TIA patients within 72\u2009h of symptom onset and compare it to computed tomography (CT) in those scanned within 24\u2009h. We also aimed to analyze predictors of DWI-positive lesions on mobile MRI.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>This prospective observational cohort consecutively included patients with MIS (National Institutes of Health Stroke Scale (NIHSS)\u2009\u2a7d\u20095) or TIA who underwent mobile low-field MRI within 72\u2009h of symptom onset in the emergency department of a tertiary general hospital. The MRI protocol included localizer, axial T1-weighted fluid-attenuated inversion recovery (FLAIR), axial T2-weighted FLAIR, axial T2-weighted fast spin-echo, hematoma-enhanced inversion recovery (HEIR), and diffusion-weighted imaging (DWI) with apparent diffusion coefficient sequences. The total acquisition time is 10\u2009min 28\u2009s. Two raters, blinded to clinical information and CT findings, interpreted the MRI images for acute infarction. Multivariable logistic regression identified predictors of DWI positivity. The primary outcome was restricted diffusion (acute infarction) on the brain low-field MRI scan. We analyzed patients who underwent head CT scan within 24\u2009h of low-field MRI to compare the detection rates of acute infarction between low-field MRI and head CT.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      A total of 974 patients (564 men and 410 women; mean (standard deviation, SD) age, 61.3 (14.9) were enrolled. New ischemic lesions were detected by low-field MRI on the DWI sequence in 37.4% (338 in 974) of patients. Among them, 304 underwent head CT within 24\u2009h of the low-field MRI scan; CT identified new ischemic lesions in only 122 (40.1%) of these. Higher NIHSS score (hazard ratio, 1.36 (95% confidence interval (CI), 1.21\u20131.54);\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009&lt;\u20090.01), longer onset to imaging time (hazard ratio, 1.33 (95% CI, 1.10\u20131.63);\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009&lt;\u20090.01), aphasia (hazard ratio, 2.24 (95% CI, 1.36\u20133.71);\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009&lt;\u20090.01), and hemiplegia (hazard ratio, 2.50 (95% CI, 1.76\u20133.55);\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009&lt;\u20090.01) were independently associated with DWI positivity on mobile low-field MRI. Female sex (hazard ratio, 0.57 (95% CI, 0.42\u20130.79);\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009&lt;\u20090.01) and non-focal symptoms were negatively associated with DWI positivity.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>Mobile low-field MRI provides a safe, efficient, and accessible imaging solution for MIS and TIA evaluation in emergency settings and detects more acute infarctions than non-contrast head CT. Higher NIHSS score, longer onset to imaging time and focal clinical features were independently associated with DWI positivity.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/17474930251378850","type":"journal-article","created":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T12:26:28Z","timestamp":1756988788000},"page":"475-484","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Detecting acute ischemic lesions using mobile, low-field MRI in TIA and minor stroke in the emergency room"],"prefix":"10.1177","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0632-0262","authenticated-orcid":false,"given":"Yue","family":"Suo","sequence":"first","affiliation":[{"name":"Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China"},{"name":"China National Clinical Research Center for Neurological Diseases, Beijing, China"},{"name":"Tiantan Neuroimaging 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