{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T01:14:47Z","timestamp":1788484487909,"version":"build-2803163510"},"reference-count":34,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"10","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Stroke"],"published-print":{"date-parts":[[2021,10]]},"abstract":"<jats:sec>\n            <jats:title>Background and Purpose:<\/jats:title>\n            <jats:p>Recent studies using automated perfusion imaging software have identified adults most likely to benefit from reperfusion therapies in extended time windows. The time course of penumbral tissue is poorly characterized in childhood arterial ischemic stroke (AIS). We explore the feasibility of using automated perfusion-diffusion imaging software to characterize penumbra in childhood AIS.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods:<\/jats:title>\n            <jats:p>\n              An observational cohort study of children with acute unilateral AIS presenting to our institution. Diffusion-weighted imaging and dynamic susceptibility contrast perfusion magnetic resonance imaging performed within 72 hours of symptom onset were necessary for inclusion. Perfusion-diffusion mismatch was estimated using RAPID software. Ischemic core was defined as apparent diffusion coefficient &lt;620\u00d710\n              <jats:sup>\u22126<\/jats:sup>\n              mm\n              <jats:sup>2<\/jats:sup>\n              \/s and hypoperfusion as Tmax &gt;6 seconds. Favorable mismatch profile was defined as core volume &lt;70 mL, mismatch volume \u226515 mL, and a mismatch ratio \u22651.8.\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results:<\/jats:title>\n            <jats:p>Twenty-nine children (median 8 years old, interquartile range, 4.4\u201314.6) were included (26 unilateral middle cerebral artery and 3 unilateral cerebellar infarcts). Median Pediatric National Institutes of Health Stroke Scale was 4 (interquartile range, 3\u201311). Most cases had cryptogenic (n=11) or focal cerebral arteriopathy (n=9) causes. Median time-to-imaging =13.7 hours (interquartile range, 7.5\u201325.3). RAPID detected an ischemic core in 19 (66%) patients. In the remaining cases, the mean apparent diffusion coefficient values were mostly higher than the threshold as the majority of these presentations were delayed (median &gt;21 hours) and infarct volumes were small (&lt;3.5 mL). Overall, 3 children, imaged at 3.75, 11, and 23.5 hours had favorable mismatch profiles.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions:<\/jats:title>\n            <jats:p>This study demonstrates it is feasible to rapidly assess perfusion-diffusion mismatch in childhood AIS using automated software. Favorable mismatch profiles, using adult-based parameters, persisted beyond the standard 4.5 hours window for thrombolysis, suggesting potential therapeutic benefit of RAPID use. Further work is required to determine the utility of perfusion-based imaging to guide clinical decision making, whether adult thresholds require modification in childhood AIS, and to investigate the effect of time-delay and cause on mismatch characteristics.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/strokeaha.120.032822","type":"journal-article","created":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T09:03:49Z","timestamp":1629277429000},"page":"3296-3304","update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":10,"title":["Automated Perfusion-Diffusion Magnetic Resonance Imaging in Childhood Arterial Ischemic Stroke"],"prefix":"10.1161","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5313-3347","authenticated-orcid":true,"given":"Melissa J.","family":"Visser","sequence":"first","affiliation":[{"name":"Brain and Mind (M.J.V., V.A.), Murdoch Children\u2019s Research Institute, Parkville, 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