{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T13:49:26Z","timestamp":1777729766018,"version":"3.51.4"},"reference-count":30,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T00:00:00Z","timestamp":1673222400000},"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":["Interv Neuroradiol"],"published-print":{"date-parts":[[2025,2]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The Charlotte large artery occlusion endovascular therapy outcome score (CLEOS) predicts poor 90-day outcomes for patients presenting with internal carotid artery (ICA) or middle cerebral artery (MCA) occlusions. It incorporates RAPID-derived cerebral blood volume (CBV) index, a marker of collateral circulation. We validated the predictive ability of CLEOS with Viz.ai-processed computed tomography perfusion (CTP) imaging.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The original CLEOS derivation cohort was compared to a validation cohort consisting of all ICA and MCA thrombectomy patients treated at a large health system with Viz.ai-processed CTP. Rates of poor 90-day outcome (mRS 4\u20136) were compared in the derivation and validation cohorts, stratified by CLEOS. CLEOS was compared to previously described prediction models using area under the curve (AUC) analyses. Calibration of CLEOS was performed to compare predicted risk of poor outcomes with observed outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      One-hundred eighty-one patients (mean age 66.4 years, median NIHSS 16) in the validation cohort were included. The validation cohort had higher median CTP core volumes (24 vs 8\u2005ml) and smaller median mismatch volumes (81 vs 101\u2005ml) than the derivation cohort. CLEOS-predicted poor outcomes strongly correlated with observed outcomes (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u20090.82). AUC for CLEOS in the validation cohort (0.72, 95% CI 0.64\u20130.80) was similar to the derivation cohort (AUC 0.75, 95% CI 0.70\u20130.80) and was comparable or superior to previously described prognostic models.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>CLEOS can predict risk of poor 90-day outcomes in ICA and MCA thrombectomy patients evaluated with pre-intervention, Viz.ai-processed CTP.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/15910199221149563","type":"journal-article","created":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T03:06:44Z","timestamp":1673233604000},"page":"80-87","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Validation of the Charlotte large artery occlusion endovascular therapy outcome score using Viz.ai-derived cerebral blood volume index"],"prefix":"10.1177","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2111-5523","authenticated-orcid":false,"given":"Rahul R","family":"Karamchandani","sequence":"first","affiliation":[{"name":"Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongmei","family":"Yang","sequence":"additional","affiliation":[{"name":"Information and Analytics Services, Atrium Health, Charlotte, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeremy B","family":"Rhoten","sequence":"additional","affiliation":[{"name":"Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dale","family":"Strong","sequence":"additional","affiliation":[{"name":"Information and Analytics Services, Atrium Health, Charlotte, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sagar","family":"Satyanarayana","sequence":"additional","affiliation":[{"name":"Information and Analytics Services, Atrium Health, Charlotte, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6697-3724","authenticated-orcid":false,"given":"Andrew W","family":"Asimos","sequence":"additional","affiliation":[{"name":"Emergency Medicine, Neurosciences Institute, Atrium Health, Charlotte, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2023,1,9]]},"reference":[{"key":"e_1_3_2_2_2","article-title":"Guidelines for the early management of patients with acute ischemic stroke: 2019 update to the 2018 guidelines for the early management of acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association\/American Stroke Association","volume":"50","author":"Powers WJ","unstructured":"Powers WJ, Rabinstein AA, Ackerson T, et al. Guidelines for the early management of patients with acute ischemic stroke: 2019 update to the 2018 guidelines for the early management of acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association\/American Stroke Association. Stroke 2019 Oct 30; 50: e344\u2013e418.","journal-title":"Stroke"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(16)00163-X"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1713973"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1706442"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jstrokecerebrovasdis.2022.106393"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.22338"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jstrokecerebrovasdis.2021.106208"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1177\/0271678X20918816"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1177\/0271678X17740293"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1111\/jon.12933"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1136\/neurintsurg-2019-015135"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.19.5.604"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(98)08020-9"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jstrokecerebrovasdis.2021.106263"},{"key":"e_1_3_2_16_2","first-page":"1296","article-title":"Hypoperfusion index ratio as a surrogate of collateral scoring on CT angiogram in large vessel stroke","volume":"10","author":"Wang C-M","year":"2021","unstructured":"Wang C-M, Chang Y-M, Sung P-S, et al. Hypoperfusion index ratio as a surrogate of collateral scoring on CT angiogram in large vessel stroke. J Clin Med Res 2021; 10: 1296.","journal-title":"J Clin Med Res"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1002\/emp2.12188"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.wneu.2020.01.020"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.113.001050"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1136\/neurintsurg-2014-011351"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0b013e31827b1ace"},{"key":"e_1_3_2_22_2","first-page":"104","article-title":"Interobserver agreement between senior radiology resident, neuroradiology fellow, and experienced neuroradiologist in the rating of Alberta Stroke Program Early Computed Tomography Score (ASPECTS)","volume":"24","author":"Kobkitsuksakul C","year":"2018","unstructured":"Kobkitsuksakul C, Division of Interventional Neuroradiology, Department of Diagnostic and therapeutic Radiology, Ramathibodi Hospital, Mahidol University School of Medicine, Bangkok, et al. Interobserver agreement between senior radiology resident, neuroradiology fellow, and experienced neuroradiologist in the rating of Alberta Stroke Program Early Computed Tomography Score (ASPECTS). Diagn Interv Radiol 2018; 24: 104\u2013107.","journal-title":"Diagn Interv Radiol"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.114.006564"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00062-020-00988-x"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.88.16_supplement.P1.211"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1161\/STR.0000000000000015"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpainsymman.2021.12.032"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1111\/ijs.12529"},{"key":"e_1_3_2_29_2","article-title":"Selection of patients for intra-arterial treatment for acute ischaemic stroke: development and validation of a clinical decision tool in two randomised trials","volume":"357","author":"Venema E","year":"2017","unstructured":"Venema E, Mulder MJH, Roozenbeek B, et al. Selection of patients for intra-arterial treatment for acute ischaemic stroke: development and validation of a clinical decision tool in two randomised trials. Br Med J 2017; 357: j1710.","journal-title":"Br Med J"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.120.033445"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1159\/000486539"}],"container-title":["Interventional Neuroradiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/15910199221149563","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/15910199221149563","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/15910199221149563","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T10:56:21Z","timestamp":1777460181000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/15910199221149563"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,9]]},"references-count":30,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["10.1177\/15910199221149563"],"URL":"https:\/\/doi.org\/10.1177\/15910199221149563","relation":{},"ISSN":["1591-0199","2385-2011"],"issn-type":[{"value":"1591-0199","type":"print"},{"value":"2385-2011","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,9]]}}}