{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T22:54:12Z","timestamp":1777503252844,"version":"3.51.4"},"reference-count":21,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2017,8,16]],"date-time":"2017-08-16T00:00:00Z","timestamp":1502841600000},"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":["Acta Radiol"],"published-print":{"date-parts":[[2018,5]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Deep medullary veins (DMVs) are a biomarker of severity and prognosis in patients with acute cerebral infarction. However, their clinical significance remains unclear in patients with transient ischemic attack (TIA).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To determine whether prominent deep medullary veins (PDMVs) are a predictive biomarker for stroke risk after TIA.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and Methods<\/jats:title>\n                    <jats:p>Clinical and imaging data of 49 patients with TIA and 49 sex- and age-matched controls were studied. PDMVs were defined as DMVs with a score of 3 (TDMVs) or asymmetric DMVs (ADMVs), and the relationship between PDMVs and clinical features was analyzed. The DMV score based on susceptibility weighted imaging (SWI) ranged from 0 (not visible) to 3 (very prominent) and was calculated for both hemispheres separately. A different score in each hemisphere was defined as ADMVs and an equal score was defined as symmetric DMVs. The asymmetry and score of DMVs were compared between the two groups and with respect to the time from TIA onset to imaging analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Agreement between neuroradiologists for the DMV asymmetry\/score on SWI was excellent. The frequency of ADMVs and TDMVs was significantly higher in patients with TIA than controls ( P\u2009&lt;\u20090.05). The patients showed no correlation between the time from TIA onset to imaging and the DMV asymmetry\/score ( P\u2009&gt;\u20090.05); PDMVs were not correlated with age, blood pressure, or diabetes. However, PDMVs were associated with the ABCD2 score (\u22654), clinical symptoms, and duration of TIA (\u226510\u2009min).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Prominent deep medullary veins is a predictive biomarker for the risk of stroke in many patients having suffered from TIA.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/0284185117726813","type":"journal-article","created":{"date-parts":[[2017,8,17]],"date-time":"2017-08-17T02:15:11Z","timestamp":1502936111000},"page":"606-611","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Prominent deep medullary veins: a predictive biomarker for stroke risk from transient ischemic attack?"],"prefix":"10.1177","volume":"59","author":[{"given":"Yang","family":"Duan","sequence":"first","affiliation":[{"name":"Department of Radiology, General Hospital of Shenyang Military Area Command, Shenyang, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3517-2393","authenticated-orcid":false,"given":"Zhihua","family":"Xu","sequence":"additional","affiliation":[{"name":"Jinzhou Medical University, General Hospital of Shenyang Military Area Command Training Base for Graduate, Shenyang, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyi","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiology, General Hospital of Shenyang Military Area Command, Shenyang, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaonan","family":"Cai","sequence":"additional","affiliation":[{"name":"Dalian Medical University, General Hospital of Shenyang Military Area Command Training Base for Graduate, Shenyang, PR 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