{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T01:07:42Z","timestamp":1777943262715,"version":"3.51.4"},"reference-count":23,"publisher":"SAGE Publications","issue":"7","license":[{"start":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T00:00:00Z","timestamp":1634083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100005614","name":"Biogen","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005614","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100004336","name":"Novartis","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004336","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NIH","award":["K23NS118056"],"award-info":[{"award-number":["K23NS118056"]}]},{"name":"NIH","award":["K76AG059992"],"award-info":[{"award-number":["K76AG059992"]}]},{"name":"NIH","award":["P30AG021342"],"award-info":[{"award-number":["P30AG021342"]}]},{"name":"NIH","award":["R01NR018335"],"award-info":[{"award-number":["R01NR018335"]}]},{"name":"NIH","award":["R01NS095993"],"award-info":[{"award-number":["R01NS095993"]}]},{"name":"NIH","award":["R01NS097728"],"award-info":[{"award-number":["R01NS097728"]}]},{"name":"NIH","award":["R03NS112859"],"award-info":[{"award-number":["R03NS112859"]}]},{"name":"NIH","award":["U01NS106513"],"award-info":[{"award-number":["U01NS106513"]}]},{"name":"NIH","award":["U24NS107136"],"award-info":[{"award-number":["U24NS107136"]}]},{"name":"NIH","award":["U24NS107215"],"award-info":[{"award-number":["U24NS107215"]}]},{"name":"Neurocritical Care Society Research Fellowship"},{"name":"Astrocyte"},{"name":"Hyperfine"},{"DOI":"10.13039\/100000968","name":"American Heart Association","doi-asserted-by":"publisher","award":["17CSA33550004"],"award-info":[{"award-number":["17CSA33550004"]}],"id":[{"id":"10.13039\/100000968","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000968","name":"American Heart Association","doi-asserted-by":"publisher","award":["18IDDG34280056"],"award-info":[{"award-number":["18IDDG34280056"]}],"id":[{"id":"10.13039\/100000968","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Yale Pepper Scholar Award"},{"DOI":"10.13039\/100000862","name":"Doris Duke Charitable Foundation","doi-asserted-by":"publisher","award":["2020097"],"award-info":[{"award-number":["2020097"]}],"id":[{"id":"10.13039\/100000862","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001269","name":"BARD","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001269","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006098","name":"Radiological Society of North America","doi-asserted-by":"publisher","award":["A129581"],"award-info":[{"award-number":["A129581"]}],"id":[{"id":"10.13039\/100006098","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Stroke"],"published-print":{"date-parts":[[2022,8]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Among prognostic imaging variables, the hematoma volume on admission computed tomography (CT) has long been considered the strongest predictor of outcome and mortality in intracerebral hemorrhage.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>To examine whether different features of hematoma shape are associated with functional outcome in deep intracerebral hemorrhage.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We analyzed 790 patients from the ATACH-2 trial, and 14 shape features were quantified. We calculated Spearman\u2019s Rho to assess the correlation between shape features and three-month modified Rankin scale (mRS) score, and the area under the receiver operating characteristic curve (AUC) to quantify the association between shape features and poor outcome defined as mRS&gt;2 as well as mRS\u2009&gt;\u20093.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Among 14 shape features, the maximum intracerebral hemorrhage diameter in the coronal plane was the strongest predictor of functional outcome, with a maximum coronal diameter &gt;\u223c3.5\u2009cm indicating higher three-month mRS scores. The maximum coronal diameter versus hematoma volume yielded a Rho of 0.40 versus 0.35 ( p\u2009=\u20090.006), an AUC\n                      <jats:sub>[mRS&gt;2]<\/jats:sub>\n                      of 0.71 versus 0.68 ( p\u2009=\u20090.004), and an AUC\n                      <jats:sub>[mRS&gt;3]<\/jats:sub>\n                      of 0.71 versus 0.69 ( p\u2009=\u20090.029). In multiple regression analysis adjusted for known outcome predictors, the maximum coronal diameter was independently associated with three-month mRS (p\u2009&lt;\u20090.001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>A coronal-plane maximum diameter measurement offers greater prognostic value in deep intracerebral hemorrhage than hematoma volume. This simple shape metric may expedite assessment of admission head CTs, offer a potential biomarker for hematoma size eligibility criteria in clinical trials, and may substitute volume in prognostic intracerebral hemorrhage scoring systems.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/17474930211050749","type":"journal-article","created":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T12:18:48Z","timestamp":1632745128000},"page":"777-784","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["The coronal plane maximum diameter of deep intracerebral hemorrhage predicts functional outcome more accurately than hematoma volume"],"prefix":"10.1177","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7640-3645","authenticated-orcid":false,"given":"Stefan P","family":"Haider","sequence":"first","affiliation":[{"name":"Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA"},{"name":"Department of Otorhinolaryngology, University Hospital of Ludwig Maximilians Universit\u00e4t M\u00fcnchen, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adnan I","family":"Qureshi","sequence":"additional","affiliation":[{"name":"Zeenat Qureshi Stroke Institute and Department of Neurology, University of Missouri, Columbia, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abhi","family":"Jain","sequence":"additional","affiliation":[{"name":"Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hishan","family":"Tharmaseelan","sequence":"additional","affiliation":[{"name":"Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elisa R","family":"Berson","sequence":"additional","affiliation":[{"name":"Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shahram","family":"Majidi","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher G","family":"Filippi","sequence":"additional","affiliation":[{"name":"Department of Radiology, Tufts University School of Medicine, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adrian","family":"Mak","sequence":"additional","affiliation":[{"name":"Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA"},{"name":"Charit\u00e9 Lab for Artificial Intelligence in Medicine (CLAIM), Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David J","family":"Werring","sequence":"additional","affiliation":[{"name":"Stroke Research Centre, University College London, Queen Square Institute of Neurology, London, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julian N","family":"Acosta","sequence":"additional","affiliation":[{"name":"Department of Neurology, Yale School of Medicine, New Haven, CT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9223-6640","authenticated-orcid":false,"given":"Ajay","family":"Malhotra","sequence":"additional","affiliation":[{"name":"Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jennifer A","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Neurology, Yale School of Medicine, New Haven, CT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lauren H","family":"Sansing","sequence":"additional","affiliation":[{"name":"Department of Neurology, Yale School of Medicine, New Haven, CT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guido J","family":"Falcone","sequence":"additional","affiliation":[{"name":"Department of Neurology, Yale School of Medicine, New Haven, CT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kevin N","family":"Sheth","sequence":"additional","affiliation":[{"name":"Department of Neurology, Yale School of Medicine, New Haven, CT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seyedmehdi","family":"Payabvash","sequence":"additional","affiliation":[{"name":"Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2021,10,13]]},"reference":[{"key":"bibr1-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1159\/000484571"},{"key":"bibr2-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.24.7.987"},{"key":"bibr3-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(16)32410-2"},{"key":"bibr4-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(19)30195-3"},{"key":"bibr5-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1603460"},{"key":"bibr6-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1007\/s12028-008-9089-4"},{"key":"bibr7-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1111\/ene.15000"},{"key":"bibr8-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1007\/s00259-020-04839-2"},{"key":"bibr9-17474930211050749","doi-asserted-by":"publisher","DOI":"10.3390\/cancers12071778"},{"key":"bibr10-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1016\/j.tranon.2020.100906"},{"key":"bibr11-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2012.05.001"},{"key":"bibr12-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1158\/0008-5472.CAN-17-0339"},{"key":"bibr13-17474930211050749","unstructured":"Pyradiomics-community. Pyradiomics documentation release 2.1.2, https:\/\/readthedocs.org\/projects\/pyradiomics\/downloads\/pdf\/2.1.2\/ (2018, accessed 15 December 2019)."},{"key":"bibr14-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2018.05.053"},{"key":"bibr15-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1111\/bmsp.12069"},{"key":"bibr16-17474930211050749","doi-asserted-by":"publisher","DOI":"10.2307\/2531595"},{"key":"bibr17-17474930211050749","volume-title":"R: a language and environment for statistical computing","author":"R Development Core Team","year":"2019"},{"key":"bibr18-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcm.2016.02.012"},{"key":"bibr19-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.32.4.891"},{"key":"bibr20-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1007\/s10072-018-3495-y"},{"key":"bibr21-17474930211050749","unstructured":"Wilcox RR. Rallfun-v38 R functions, https:\/\/dornsifelive.usc.edu\/labs\/rwilcox\/software\/ (2020, accessed 24 November 2020)."},{"key":"bibr22-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1007\/s12028-016-0276-4"},{"key":"bibr23-17474930211050749","doi-asserted-by":"publisher","DOI":"10.1212\/01.wnl.0000172915.71933.00"}],"container-title":["International Journal of Stroke"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/17474930211050749","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/17474930211050749","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/17474930211050749","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T07:20:09Z","timestamp":1777706409000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/17474930211050749"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,13]]},"references-count":23,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2022,8]]}},"alternative-id":["10.1177\/17474930211050749"],"URL":"https:\/\/doi.org\/10.1177\/17474930211050749","relation":{},"ISSN":["1747-4930","1747-4949"],"issn-type":[{"value":"1747-4930","type":"print"},{"value":"1747-4949","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,13]]}}}