{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T01:59:09Z","timestamp":1785549549515,"version":"3.56.0"},"reference-count":29,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"21","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2019,11,5]]},"abstract":"<jats:sec xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              The diagnosis of ischemic cerebellar stroke is challenging because of nonspecific symptoms and very limited accuracy of commonly applied computed tomography (\n              <jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>\n              ) imaging. Advances in\n              <jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>\n              perfusion imaging provide increasing value in the detection of posterior circulation stroke, but the prognostic value remains unclear. We aimed to identify imaging parameters that predict morphologic outcome in cerebellar stroke patients using advanced\n              <jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>\n              including whole\u2010brain\n              <jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>\n              perfusion (\n              <jats:styled-content style=\"fixed-case\">WB<\/jats:styled-content>\n              \u2010\n              <jats:styled-content style=\"fixed-case\">CTP<\/jats:styled-content>\n              ).\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Methods and Results<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              We selected all subjects with cerebellar\n              <jats:styled-content style=\"fixed-case\">WB<\/jats:styled-content>\n              \u2010\n              <jats:styled-content style=\"fixed-case\">CTP<\/jats:styled-content>\n              perfusion deficits and follow\u2010up\u2010confirmed cerebellar infarction from a consecutive cohort with suspected stroke who underwent\n              <jats:styled-content style=\"fixed-case\">WB<\/jats:styled-content>\n              \u2010\n              <jats:styled-content style=\"fixed-case\">CTP<\/jats:styled-content>\n              . Posterior\u2010circulation\u2010Acute\u2010Stroke\u2010Prognosis\u2010Early\u2010\n              <jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>\n              \u2010Score (pc\u2010\n              <jats:styled-content style=\"fixed-case\">ASPECTS<\/jats:styled-content>\n              ) was determined on noncontrast\n              <jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>\n              ,\n              <jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>\n              angiography source images, and on parametric\n              <jats:styled-content style=\"fixed-case\">WB<\/jats:styled-content>\n              \u2010\n              <jats:styled-content style=\"fixed-case\">CTP<\/jats:styled-content>\n              maps. Cerebellar perfusion deficit volumes on all maps and the final infarction volume on follow\u2010up imaging were quantified. Uni\u2010 and multivariate regression analyses were performed. Sixty patients fulfilled the inclusion criteria. pc\u2010\n              <jats:styled-content style=\"fixed-case\">ASPECTS<\/jats:styled-content>\n              on\n              <jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>\n              angiography source images (\u00df, \u22129.239; 95%\n              <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n              , \u221214.220 to \u22124.259;\n              <jats:italic>P<\/jats:italic>\n              &lt;0.001) and cerebral blood flow deficit volume (\u00df, 0.886; 95%\n              <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n              , 0.684 to 1.089;\n              <jats:italic>P<\/jats:italic>\n              &lt;0.001) were significantly associated with final infarction volume in univariate linear regression analysis. The association of cerebral blood flow deficit volume (\u00df, 0.830; 95%\n              <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n              , 0.605\u20131.055;\n              <jats:italic>P<\/jats:italic>\n              &lt;0.001) was confirmed in a multivariate linear regression model adjusted for age, sex, pc\u2010\n              <jats:styled-content style=\"fixed-case\">ASPECTS<\/jats:styled-content>\n              on noncontrast\n              <jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>\n              , and\n              <jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>\n              angiography source images and the National Institutes of Health Stroke Scale score on admission. No other clinical or imaging parameters were associated with cerebellar stroke final infarction volume (\n              <jats:italic>P<\/jats:italic>\n              &gt;0.05).\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              In contrast to noncontrast\n              <jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>\n              and CT angiography,\n              <jats:styled-content style=\"fixed-case\">WB<\/jats:styled-content>\n              \u2010\n              <jats:styled-content style=\"fixed-case\">CTP<\/jats:styled-content>\n              imaging contains prognostic information for morphologic outcome in patients with acute cerebellar stroke.\n            <\/jats:p>\n          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