{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T18:52:40Z","timestamp":1785523960315,"version":"3.56.0"},"reference-count":45,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,3,10]],"date-time":"2023-03-10T00:00:00Z","timestamp":1678406400000},"content-version":"vor","delay-in-days":68,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100019558","name":"Qingdao Key Health Discipline Development Fund","doi-asserted-by":"publisher","award":["QDZDZK-2022-097"],"award-info":[{"award-number":["QDZDZK-2022-097"]}],"id":[{"id":"10.13039\/100019558","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009108","name":"Shandong University","doi-asserted-by":"publisher","award":["QDKY2020QN04"],"award-info":[{"award-number":["QDKY2020QN04"]}],"id":[{"id":"10.13039\/100009108","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage: Clinical"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1016\/j.nicl.2023.103378","type":"journal-article","created":{"date-parts":[[2023,3,14]],"date-time":"2023-03-14T03:41:22Z","timestamp":1678765282000},"page":"103378","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":8,"special_numbering":"C","title":["Difference of mean Hounsfield units (dHU) between follow-up and initial noncontrast CT scan predicts 90-day poor outcome in spontaneous supratentorial acute intracerebral hemorrhage with deep convolutional neural networks"],"prefix":"10.1016","volume":"38","author":[{"given":"Xiaona","family":"Xia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoqian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiufa","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingjun","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuai","family":"Guan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kongming","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chencui","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3454-1123","authenticated-orcid":false,"given":"Xiangshui","family":"Meng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"10038","key":"10.1016\/j.nicl.2023.103378_b0005","doi-asserted-by":"crossref","first-page":"2605","DOI":"10.1016\/S0140-6736(16)30392-0","article-title":"Platelet transfusion versus standard care after acute stroke due to spontaneous cerebral haemorrhage associated with antiplatelet therapy (PATCH): a randomised, open-label, phase 3 trial","volume":"387","author":"Baharoglu","year":"2016","journal-title":"The Lancet."},{"issue":"4","key":"10.1016\/j.nicl.2023.103378_b0010","doi-asserted-by":"crossref","first-page":"1325","DOI":"10.1161\/STROKEAHA.108.536888","article-title":"Density and Shape as CT Predictors of Intracerebral Hemorrhage Growth","volume":"40","author":"Barras","year":"2009","journal-title":"Stroke"},{"issue":"6","key":"10.1016\/j.nicl.2023.103378_b0015","doi-asserted-by":"crossref","first-page":"766","DOI":"10.1212\/WNL.56.6.766","article-title":"Withdrawal of support in intracerebral hemorrhage may lead to self-fulfilling prophecies","volume":"56","author":"Becker","year":"2001","journal-title":"Neurology."},{"issue":"8","key":"10.1016\/j.nicl.2023.103378_b0020","doi-asserted-by":"crossref","first-page":"961","DOI":"10.1001\/jamaneurol.2016.1218","article-title":"Association Between Hypodensities Detected by Computed Tomography and Hematoma Expansion in Patients With Intracerebral Hemorrhage","volume":"73","author":"Boulouis","year":"2016","journal-title":"JAMA Neurol."},{"issue":"10","key":"10.1016\/j.nicl.2023.103378_b0025","doi-asserted-by":"crossref","first-page":"2511","DOI":"10.1161\/STROKEAHA.116.014425","article-title":"Noncontrast Computed Tomography Hypodensities Predict Poor Outcome in Intracerebral Hemorrhage Patients","volume":"47","author":"Boulouis","year":"2016","journal-title":"Stroke."},{"issue":"3","key":"10.1016\/j.nicl.2023.103378_b0030","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1007\/s12028-019-00754-z","article-title":"Minimal Computed Tomography Attenuation Value Within the Hematoma is Associated with Hematoma Expansion and Poor Outcome in Intracerebral Hemorrhage Patients","volume":"31","author":"Chu","year":"2019","journal-title":"Neurocrit Care."},{"issue":"10","key":"10.1016\/j.nicl.2023.103378_b0035","doi-asserted-by":"crossref","first-page":"1596","DOI":"10.1182\/blood-2013-08-523860","article-title":"Clot contraction: compression of erythrocytes into tightly packed polyhedra and redistribution of platelets and fibrin","volume":"123","author":"Cines","year":"2014","journal-title":"Blood."},{"issue":"4","key":"10.1016\/j.nicl.2023.103378_b0040","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1212\/WNL.0b013e318260cbba","article-title":"Hematoma growth and outcomes in intracerebral hemorrhage: The INTERACT1 study","volume":"79","author":"Delcourt","year":"2012","journal-title":"Neurology."},{"issue":"4","key":"10.1016\/j.nicl.2023.103378_b0045","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/S1474-4422(12)70038-8","article-title":"Prediction of haematoma growth and outcome in patients with intracerebral haemorrhage using the CT-angiography spot sign (PREDICT): a prospective observational study","volume":"11","author":"Demchuk","year":"2012","journal-title":"Lancet Neurol."},{"issue":"2","key":"10.1016\/j.nicl.2023.103378_b0050","doi-asserted-by":"crossref","first-page":"648","DOI":"10.1161\/STROKEAHA.119.027657","article-title":"Deep Learning for Automated Measurement of Hemorrhage and Perihematomal Edema in Supratentorial Intracerebral Hemorrhage","volume":"51","author":"Dhar","year":"2020","journal-title":"Stroke."},{"issue":"14","key":"10.1016\/j.nicl.2023.103378_b0055","doi-asserted-by":"crossref","first-page":"1238","DOI":"10.1212\/WNL.0b013e3182143317","article-title":"Defining hematoma expansion in intracerebral hemorrhage: Relationship with patient outcomes","volume":"76","author":"Dowlatshahi","year":"2011","journal-title":"Neurology."},{"issue":"8","key":"10.1016\/j.nicl.2023.103378_b0060","doi-asserted-by":"crossref","first-page":"988","DOI":"10.1001\/jamaneurol.2013.98","article-title":"Predictors of Hematoma Volume in Deep and Lobar Supratentorial Intracerebral Hemorrhage","volume":"70","author":"Falcone","year":"2013","journal-title":"JAMA Neurol."},{"issue":"7","key":"10.1016\/j.nicl.2023.103378_b0065","doi-asserted-by":"crossref","DOI":"10.1161\/STR.0000000000000407","article-title":"2022 Guideline for the Management of Patients With Spontaneous Intracerebral Hemorrhage: A Guideline From the American Heart Association\/American Stroke Association","volume":"53","author":"Greenberg","year":"2022","journal-title":"Stroke"},{"key":"10.1016\/j.nicl.2023.103378_b0070","doi-asserted-by":"crossref","unstructured":"Haider, S.P., Qureshi, A.I., Jain, A., Tharmaseelan, H., Berson, E.R., and Majidi, S., et al. (2021). The coronal plane maximum diameter of deep intracerebral hemorrhage predicts functional outcome more accurately than hematoma volume. Int J Stroke. 2022;17(7):777-784. doi:10.1177\/174749302110507499.","DOI":"10.1177\/17474930211050749"},{"issue":"10069","key":"10.1016\/j.nicl.2023.103378_b0075","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1016\/S0140-6736(16)32410-2","article-title":"Thrombolytic removal of intraventricular haemorrhage in treatment of severe stroke: results of the randomised, multicentre, multiregion, placebo-controlled CLEAR III trial","volume":"389","author":"Hanley","year":"2017","journal-title":"The Lancet."},{"issue":"32","key":"10.1016\/j.nicl.2023.103378_b0080","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1161\/01.STR.32.4.891","article-title":"The ICH score: a simple, reliable grading scale for intracerebral hemorrhage","volume":"1970","author":"Hemphill","year":"2001","journal-title":"Stroke"},{"issue":"7","key":"10.1016\/j.nicl.2023.103378_b0085","doi-asserted-by":"crossref","first-page":"2032","DOI":"10.1161\/STR.0000000000000069","article-title":"Guidelines for the Management of Spontaneous Intracerebral Hemorrhage: A Guideline for Healthcare Professionals From the American Heart Association\/American Stroke Association","volume":"46","author":"Hemphill","year":"2015","journal-title":"Stroke."},{"issue":"12","key":"10.1016\/j.nicl.2023.103378_b0090","doi-asserted-by":"crossref","first-page":"3416","DOI":"10.1161\/STROKEAHA.119.026561","article-title":"Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage","volume":"50","author":"Ironside","year":"2019","journal-title":"Stroke."},{"key":"10.1016\/j.nicl.2023.103378_b0095","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1177\/1747493019895703","article-title":"Hematoma Hounsfield units and expansion of intracerebral hemorrhage: A potential marker of hemostatic clot contraction","volume":"16","author":"Jeong","year":"2020","journal-title":"Int J Stroke."},{"key":"10.1016\/j.nicl.2023.103378_b0100","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1148\/radiol.2273020530","article-title":"Differentiation of white, mixed, and red thrombi: value of CT in estimation of the prognosis of thrombolysis phantom study","volume":"228","author":"Kirchhof","year":"2003","journal-title":"Radiology."},{"issue":"2","key":"10.1016\/j.nicl.2023.103378_b0105","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1007\/s12028-020-01165-1","article-title":"Is the CT Blend Sign Composed of Two Parts of Blood with Different Age?","volume":"35","author":"Li","year":"2021","journal-title":"Neurocrit Care"},{"issue":"8","key":"10.1016\/j.nicl.2023.103378_b0110","doi-asserted-by":"crossref","first-page":"e0183082","DOI":"10.1371\/journal.pone.0183082","article-title":"Blend sign predicts poor outcome in patients with intracerebral hemorrhage","volume":"12","author":"Li","year":"2017","journal-title":"PloS one."},{"issue":"1-2","key":"10.1016\/j.nicl.2023.103378_b0115","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1159\/000486163","article-title":"Black Hole Sign Predicts Poor Outcome in Patients with Intracerebral Hemorrhage","volume":"45","author":"Li","year":"2018","journal-title":"Cerebrovasc Dis."},{"issue":"4","key":"10.1016\/j.nicl.2023.103378_b0120","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1161\/STROKEAHA.119.027119","article-title":"Calculation of Prognostic Scores, Using Delayed Imaging, Outperforms Baseline Assessments in Acute Intracerebral Hemorrhage","volume":"51","author":"Lun","year":"2020","journal-title":"Stroke."},{"key":"10.1016\/j.nicl.2023.103378_b0125","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2021\/6249509","article-title":"Early Perihematomal Edema Expansion: Definition, Significance, and Association with Outcomes after Intracerebral Hemorrhage","volume":"2021","author":"Lv","year":"2021","journal-title":"Oxid Med Cell Longev."},{"issue":"20","key":"10.1016\/j.nicl.2023.103378_b0130","doi-asserted-by":"crossref","first-page":"2127","DOI":"10.1056\/NEJMoa0707534","article-title":"Efficacy and Safety of Recombinant Activated Factor VII for Acute Intracerebral Hemorrhage","volume":"358","author":"Mayer","year":"2008","journal-title":"N Engl J Med."},{"issue":"6","key":"10.1016\/j.nicl.2023.103378_b0135","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1212\/WNL.0000000000004210","article-title":"Blood pressure reduction and noncontrast CT markers of intracerebral hemorrhage expansion","volume":"89","author":"Morotti","year":"2017","journal-title":"Neurology."},{"issue":"4","key":"10.1016\/j.nicl.2023.103378_b0140","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1002\/ana.25563","article-title":"Standards for Detecting, Interpreting, and Reporting Noncontrast Computed Tomographic Markers of Intracerebral Hemorrhage Expansion","volume":"86","author":"Morotti","year":"2019","journal-title":"Ann Neurol"},{"key":"10.1016\/j.nicl.2023.103378_b0145","doi-asserted-by":"crossref","unstructured":"Morotti, A., Busto, G., Boulouis, G., Scola, E., Padovani, A., and Casetta, I., et al. (2022). Added value of non-contrast CT and CT perfusion markers for prediction of intracerebral hemorrhage expansion and outcome. [published online ahead of print, 2022 Jul 27].Eur Radiol. 2022;10.1007\/s00330-022-08987-x. doi:10.1007\/s00330-022-08987-x.","DOI":"10.1007\/s00330-022-08987-x"},{"issue":"9","key":"10.1016\/j.nicl.2023.103378_b0150","doi-asserted-by":"crossref","first-page":"857","DOI":"10.1016\/S1474-4422(19)30196-6","article-title":"Blood pressure control and clinical outcomes in acute intracerebral haemorrhage: a preplanned pooled analysis of individual participant data","volume":"18","author":"Moullaali","year":"2019","journal-title":"Lancet Neurol."},{"key":"10.1016\/j.nicl.2023.103378_b0155","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1148\/121.3.635","article-title":"Attenuation measurements of whole blood and blood fractions in computed tomography","volume":"121","author":"New","year":"1976","journal-title":"Radiology."},{"issue":"10","key":"10.1016\/j.nicl.2023.103378_b0160","doi-asserted-by":"crossref","first-page":"7945","DOI":"10.1007\/s00330-021-07826-9","article-title":"Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage","volume":"31","author":"Pszczolkowski","year":"2021","journal-title":"Eur Radiol."},{"key":"10.1016\/j.nicl.2023.103378_b0165","doi-asserted-by":"crossref","first-page":"1632","DOI":"10.1016\/S0140-6736(09)60371-8","article-title":"Intracerebral haemorrhage","volume":"373","author":"Qureshi","year":"2009","journal-title":"Lancet"},{"issue":"11","key":"10.1016\/j.nicl.2023.103378_b0170","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1056\/NEJMoa1603460","article-title":"Intensive Blood-Pressure Lowering in Patients with Acute Cerebral Hemorrhage","volume":"375","author":"Qureshi","year":"2016","journal-title":"N Engl J Med."},{"key":"10.1016\/j.nicl.2023.103378_b0175","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1159\/000506358","article-title":"Intensive Blood Pressure Lowering in Patients with Moderate to Severe Grade Acute Cerebral Hemorrhage: Post Hoc Analysis of Antihypertensive Treatment of Acute Cerebral Hemorrhage (ATACH)-2 Trial","volume":"49","author":"Qureshi","year":"2020","journal-title":"Cerebrovasc Dis."},{"issue":"3","key":"10.1016\/j.nicl.2023.103378_b0180","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1002\/acn3.51001","article-title":"Hematoma enlargement characteristics in deep versus lobar intracerebral hemorrhage","volume":"7","author":"Sembill","year":"2020","journal-title":"Ann Clin Transl Neurol."},{"issue":"10135","key":"10.1016\/j.nicl.2023.103378_b0185","doi-asserted-by":"crossref","first-page":"2107","DOI":"10.1016\/S0140-6736(18)31033-X","article-title":"Tranexamic acid for hyperacute primary IntraCerebral Haemorrhage (TICH-2): an international randomised, placebo-controlled, phase 3 superiority trial","volume":"391","author":"Sprigg","year":"2018","journal-title":"Lancet."},{"issue":"41","key":"10.1016\/j.nicl.2023.103378_b0190","doi-asserted-by":"crossref","first-page":"402","DOI":"10.1161\/STROKEAHA.109.552919","article-title":"Options to Restrict Hematoma Expansion After Spontaneous Intracerebral Hemorrhage","volume":"1970","author":"Steiner","year":"2010","journal-title":"Stroke"},{"key":"10.1016\/j.nicl.2023.103378_b0195","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/S1474-4422(09)70340-0","article-title":"Incidence, case fatality, and functional outcome of intracerebral haemorrhage over time, according to age, sex, and ethnic origin: a systematic review and meta-analysis","volume":"9","author":"van Asch","year":"2010","journal-title":"Lancet Neurol."},{"key":"10.1016\/j.nicl.2023.103378_b0200","first-page":"941","article-title":"Evaluation of spontaneous intracerebral hemorrhage by using CT image segmentation and volume assessment based on deep learning","volume":"53","author":"Wang","year":"2019","journal-title":"Chinese Journal of Radiology."},{"issue":"9","key":"10.1016\/j.nicl.2023.103378_b0205","doi-asserted-by":"crossref","first-page":"e879","DOI":"10.1212\/WNL.0000000000008007","article-title":"New and expanding ventricular hemorrhage predicts poor outcome in acute intracerebral hemorrhage","volume":"93","author":"Yogendrakumar","year":"2019","journal-title":"Neurology."},{"issue":"4","key":"10.1016\/j.nicl.2023.103378_b0210","doi-asserted-by":"crossref","first-page":"1120","DOI":"10.1161\/STROKEAHA.119.027451","article-title":"Redefining Hematoma Expansion With the Inclusion of Intraventricular Hemorrhage Growth","volume":"51","author":"Yogendrakumar","year":"2020","journal-title":"Stroke."},{"key":"10.1016\/j.nicl.2023.103378_b0215","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1161\/STROKEAHA.120.032243","article-title":"A Robust Deep Learning Segmentation Method for Hematoma Volumetric Detection in Intracerebral Hemorrhage","volume":"53","author":"Yu","year":"2022","journal-title":"Stroke."},{"key":"10.1016\/j.nicl.2023.103378_b0220","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.jns.2019.02.032","article-title":"Accuracy of swirl sign for predicting hematoma enlargement in intracerebral hemorrhage: a meta-analysis","volume":"399","author":"Yu","year":"2019","journal-title":"J Neurol Sci."},{"issue":"9","key":"10.1016\/j.nicl.2023.103378_b0225","doi-asserted-by":"crossref","first-page":"12833","DOI":"10.18632\/aging.202954","article-title":"Predicting intraventricular hemorrhage growth with a machine learning-based, radiomics-clinical model","volume":"13","author":"Zhu","year":"2021","journal-title":"Aging (Albany NY)."}],"container-title":["NeuroImage: Clinical"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158223000670?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158223000670?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T04:55:25Z","timestamp":1761972925000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2213158223000670"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":45,"alternative-id":["S2213158223000670"],"URL":"https:\/\/doi.org\/10.1016\/j.nicl.2023.103378","relation":{},"ISSN":["2213-1582"],"issn-type":[{"value":"2213-1582","type":"print"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Difference of mean Hounsfield units (dHU) between follow-up and initial noncontrast CT scan predicts 90-day poor outcome in spontaneous supratentorial acute intracerebral hemorrhage with deep convolutional neural networks","name":"articletitle","label":"Article Title"},{"value":"NeuroImage: Clinical","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.nicl.2023.103378","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"103378"}}