{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T20:18:30Z","timestamp":1793391510579,"version":"4.5.0"},"reference-count":38,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2019,10,7]],"date-time":"2019-10-07T00:00:00Z","timestamp":1570406400000},"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":["Neuroradiol J"],"published-print":{"date-parts":[[2020,2]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Cerebrovascular complications of tuberculous meningitis (TBM) are associated with increased morbidity and mortality. We retrospectively reviewed clinicoradiological findings of 90 TBM patients who presented to a tertiary care hospital, with emphasis on frequency and distribution of infarcts on diffusion imaging and pattern of vascular involvement on magnetic resonance (MR) angiography (MRA).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>MR images of 90 TBM patients at presentation (2012\u20132018) were coanalyzed by two radiologists for tuberculomas, leptomeningeal enhancement (LM), hydrocephalus, infarct and vascular abnormalities. Infarcts were categorized based on location (\u201ctubercular\u201d (TB) or \u201cischemic\u201d zones) and arterial supply (perforators and cortical branches). Clinical and laboratory findings were correlated with imaging data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Ninety TBM patients (age 10\u201382 years) were enlisted after application of inclusion criteria. Tuberculomas were most common (100%) followed by LM (84.4%), cerebral infarcts (57.7%) and hydrocephalus (29%). Location-wise, 35% infarcts were in ischemic, 13% in TB and 15% in both zones. According to arterial supply, infarcts equally (50%) involved perforators from the lateral lenticulostriate and posterior cerebral (PCA)\/basilar artery (BA) followed by medial lenticulostriate arteries (23%). MRA was available in 74.4% and abnormal in 43.2%. The middle cerebral artery was frequently involved (76%) followed by the anterior cerebral artery (38%), internal carotid artery (31%), PCA and BA. Six had diffuse narrowing with a paucity of distal vessels. Cerebral infarction was associated with hydrocephalus ( p\u2009=\u2009.0019) and vasculitis ( p\u2009&lt;\u2009.001).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>In TBM, strokes are common and mainly involve the perforators and cortical branches. MR is the imaging modality of choice for early diagnosis and timely management.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/1971400919881188","type":"journal-article","created":{"date-parts":[[2019,10,7]],"date-time":"2019-10-07T09:05:20Z","timestamp":1570439120000},"page":"3-16","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":41,"title":["Cerebrovascular complications in tuberculous meningitis\u2014A magnetic resonance imaging study in 90 patients from a tertiary care hospital"],"prefix":"10.1177","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2082-1634","authenticated-orcid":false,"given":"Neetu","family":"Soni","sequence":"first","affiliation":[{"name":"Neuroradiology Department, University of Iowa Hospitals and Clinics, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sunil","family":"Kumar","sequence":"additional","affiliation":[{"name":"Radiology Department, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anil","family":"Shimle","sequence":"additional","affiliation":[{"name":"Radiology Department, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manish","family":"Ora","sequence":"additional","affiliation":[{"name":"Nuclear Medicine Department, SGPGIMS, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Girish","family":"Bathla","sequence":"additional","affiliation":[{"name":"Radiology Department, University of Iowa Hospitals and Clinics, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Prabhakar","family":"Mishra","sequence":"additional","affiliation":[{"name":"Department of Biostatistics and Health Informatics, SGPGIMS, 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