{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T10:59:56Z","timestamp":1793876396686,"version":"4.7.0"},"reference-count":39,"publisher":"Elsevier BV","issue":"8","license":[{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","clinicalradiologyonline.net","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Clinical Radiology"],"published-print":{"date-parts":[[2021,8]]},"DOI":"10.1016\/j.crad.2021.03.003","type":"journal-article","created":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T03:08:38Z","timestamp":1618283318000},"page":"629.e1-629.e9","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":21,"title":["Can perihaematomal radiomics features predict haematoma expansion?"],"prefix":"10.1016","volume":"76","author":[{"given":"D.","family":"Zhu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Q.","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Y.","family":"Zhuang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Q.","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C.","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Y.","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Y.","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Y.","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"14","key":"10.1016\/j.crad.2021.03.003_bib1","doi-asserted-by":"crossref","first-page":"1238","DOI":"10.1212\/WNL.0b013e3182143317","article-title":"Defining haematoma expansion in intracerebral haemorrhage: relationship with patient outcomes","volume":"76","author":"Dowlatshahi","year":"2011","journal-title":"Neurology"},{"issue":"1","key":"10.1016\/j.crad.2021.03.003_bib2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1161\/01.STR.28.1.1","article-title":"Early haemorrhage growth in patients with intracerebral haemorrhage","volume":"28","author":"Brott","year":"1997","journal-title":"Stroke"},{"key":"10.1016\/j.crad.2021.03.003_bib3","doi-asserted-by":"crossref","first-page":"1120","DOI":"10.1161\/STROKEAHA.119.027451","article-title":"Redefining hematoma expansion with the inclusion of intraventricular haemorrhage growth","volume":"51","author":"Yogendrakumar","year":"2020","journal-title":"Stroke"},{"issue":"3","key":"10.1016\/j.crad.2021.03.003_bib4","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1097\/RCT.0000000000000865","article-title":"Imaging of brain infarctions: beyond the usual territories","volume":"43","author":"Abdelrasoul","year":"2019","journal-title":"J Comput Assist Tomogr"},{"issue":"8","key":"10.1016\/j.crad.2021.03.003_bib5","doi-asserted-by":"crossref","first-page":"2119","DOI":"10.1161\/STROKEAHA.115.009185","article-title":"Blend sign on computed tomography: novel and reliable predictor for early hematoma growth in patients with intracerebral haemorrhage","volume":"46","author":"Li","year":"2015","journal-title":"Stroke"},{"issue":"3","key":"10.1016\/j.crad.2021.03.003_bib6","doi-asserted-by":"crossref","first-page":"520","DOI":"10.3174\/ajnr.A0859","article-title":"Contrast extravasation on CT predicts mortality in primary intracerebral haemorrhage","volume":"29","author":"Kim","year":"2008","journal-title":"AJNR Am J Neuroradiol"},{"issue":"7","key":"10.1016\/j.crad.2021.03.003_bib7","doi-asserted-by":"crossref","first-page":"1777","DOI":"10.1161\/STROKEAHA.116.013186","article-title":"Black hole sign: novel imaging marker that predicts hematoma growth in patients with intracerebral haemorrhage","volume":"47","author":"Li","year":"2016","journal-title":"Stroke"},{"issue":"3\u20134","key":"10.1016\/j.crad.2021.03.003_bib8","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1159\/000477179","article-title":"Satellite sign: a poor outcome predictor in intracerebral haemorrhage","volume":"44","author":"Shimoda","year":"2017","journal-title":"Cerebrovasc Dis"},{"issue":"4","key":"10.1016\/j.crad.2021.03.003_bib9","doi-asserted-by":"crossref","first-page":"1120","DOI":"10.1161\/STROKEAHA.116.015062","article-title":"Noncontrast computed tomography markers of intracerebral haemorrhage expansion","volume":"48","author":"Boulouis","year":"2017","journal-title":"Stroke"},{"issue":"6","key":"10.1016\/j.crad.2021.03.003_bib10","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1212\/WNL.0000000000004210","article-title":"Blood pressure reduction and noncontrast CT markers of intracerebral haemorrhage expansion","volume":"89","author":"Morotti","year":"2017","journal-title":"Neurology"},{"issue":"4","key":"10.1016\/j.crad.2021.03.003_bib11","doi-asserted-by":"crossref","first-page":"1325","DOI":"10.1161\/STROKEAHA.108.536888","article-title":"Density and shape as CT predictors of intracerebral haemorrhage growth","volume":"40","author":"Barras","year":"2009","journal-title":"Stroke"},{"issue":"3","key":"10.1016\/j.crad.2021.03.003_bib12","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1111\/jon.12306","article-title":"CT Evolution of hematoma and surrounding hypodensity in a cadaveric model of intracerebral haemorrhage","volume":"26","author":"Majidi","year":"2016","journal-title":"J Neuroimag"},{"issue":"16","key":"10.1016\/j.crad.2021.03.003_bib13","doi-asserted-by":"crossref","first-page":"e1738","DOI":"10.1212\/WNL.0000000000009288","article-title":"Antihyperthermic treatment decreases perihaematomal hypodensity","volume":"94","author":"Hervella","year":"2020","journal-title":"Neurology"},{"issue":"6","key":"10.1016\/j.crad.2021.03.003_bib14","doi-asserted-by":"crossref","first-page":"943","DOI":"10.1002\/ana.25466","article-title":"Association between perihaematomal cerebral blood volume and intracerebral haemorrhage expansion: a computed tomography perfusion study","volume":"85","author":"Morotti","year":"2019","journal-title":"Ann Neurol"},{"issue":"8","key":"10.1016\/j.crad.2021.03.003_bib15","doi-asserted-by":"crossref","first-page":"914","DOI":"10.1001\/jamaneurol.2016.1899","article-title":"Recognizing and preventing intracerebral hematoma expansion","volume":"73","author":"Caplan","year":"2016","journal-title":"JAMA Neurol"},{"issue":"18","key":"10.1016\/j.crad.2021.03.003_bib16","doi-asserted-by":"crossref","first-page":"2157","DOI":"10.1200\/JCO.2015.65.9128","article-title":"Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer","volume":"34","author":"Huang","year":"2016","journal-title":"J Clin Oncol"},{"issue":"2","key":"10.1016\/j.crad.2021.03.003_bib17","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1148\/radiol.2015151169","article-title":"Radiomics: images are more than pictures, they are data","volume":"278","author":"Gillies","year":"2016","journal-title":"Radiology"},{"issue":"3","key":"10.1016\/j.crad.2021.03.003_bib18","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1002\/jmri.27163","article-title":"Editorial for \"Preoperative MRI-based radiomic machine-learning nomogram may accurately distinguish between benign and malignant soft tissue lesions: a two-center study","volume":"52","author":"Razek","year":"2020","journal-title":"J Magn Reson Imag"},{"key":"10.1016\/j.crad.2021.03.003_bib19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.lungcan.2019.06.020","article-title":"Predicting pathologic response to neoadjuvant chaemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features","volume":"135","author":"Khorrami","year":"2019","journal-title":"Lung Cancer"},{"issue":"3","key":"10.1016\/j.crad.2021.03.003_bib20","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1148\/radiol.2018180910","article-title":"Perinodular and intranodular radiomic features on lung CT images distinguish adenocarcinomas from granulomas","volume":"290","author":"Beig","year":"2019","journal-title":"Radiology"},{"issue":"6","key":"10.1016\/j.crad.2021.03.003_bib21","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.1016\/j.jhep.2019.02.023","article-title":"Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma","volume":"70","author":"Xu","year":"2019","journal-title":"J Hepatol"},{"issue":"5","key":"10.1016\/j.crad.2021.03.003_bib22","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1159\/000494099","article-title":"A radiomics nomogram for preoperative prediction of microvascular invasion in hepatocellular carcinoma","volume":"8","author":"Yang","year":"2019","journal-title":"Liver Cancer"},{"issue":"1","key":"10.1016\/j.crad.2021.03.003_bib23","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1186\/s13058-017-0846-1","article-title":"Intratumoural and peritumoural radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chaemotherapy based on breast DCE-MRI","volume":"19","author":"Braman","year":"2017","journal-title":"Breast Canc Res"},{"issue":"10","key":"10.1016\/j.crad.2021.03.003_bib24","doi-asserted-by":"crossref","first-page":"4389","DOI":"10.1007\/s00330-018-5364-8","article-title":"Quantitative parameters of CT texture analysis as potential markersfor early prediction of spontaneous intracranial haemorrhage enlargement","volume":"28","author":"Shen","year":"2018","journal-title":"Eur Radiol"},{"key":"10.1016\/j.crad.2021.03.003_bib25","doi-asserted-by":"crossref","first-page":"143","DOI":"10.14336\/AD.2020.0421","article-title":"Radiomics in stroke neuroimaging: techniques, applications, and challenges","volume":"12","author":"Chen","year":"2021","journal-title":"Aging Dis"},{"issue":"4","key":"10.1016\/j.crad.2021.03.003_bib26","doi-asserted-by":"crossref","first-page":"1257","DOI":"10.1161\/01.STR.0000259633.59404.f3","article-title":"CT angiography \"spot sign\" predicts haematoma expansion in acute intracerebral haemorrhage","volume":"38","author":"Wada","year":"2007","journal-title":"Stroke"},{"issue":"3\u20134","key":"10.1016\/j.crad.2021.03.003_bib27","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1159\/000065681","article-title":"Dynamic single-section CT demonstrates reduced cerebral blood flow in acute intracerebral haemorrhage","volume":"14","author":"Rosand","year":"2002","journal-title":"Cerebrovasc Dis"},{"issue":"2","key":"10.1016\/j.crad.2021.03.003_bib28","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1142\/S0219720005001004","article-title":"Minimum redundancy feature selection from microarray gene expression data","volume":"3","author":"Ding","year":"2005","journal-title":"J Bioinform Comput Biol"},{"issue":"4","key":"10.1016\/j.crad.2021.03.003_bib29","doi-asserted-by":"crossref","first-page":"1140","DOI":"10.1016\/j.neubiorev.2012.01.004","article-title":"Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review","volume":"36","author":"Orru","year":"2012","journal-title":"Neurosci Biobehav Rev"},{"issue":"3","key":"10.1016\/j.crad.2021.03.003_bib30","doi-asserted-by":"crossref","first-page":"837","DOI":"10.2307\/2531595","article-title":"Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach","volume":"44","author":"DeLong","year":"1988","journal-title":"Biometrics"},{"issue":"2","key":"10.1016\/j.crad.2021.03.003_bib31","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1002\/sim.2929","article-title":"Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond","volume":"27","author":"Pencina","year":"2008","journal-title":"Stat Med"},{"issue":"1","key":"10.1016\/j.crad.2021.03.003_bib32","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1002\/sim.4085","article-title":"Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers","volume":"30","author":"Pencina","year":"2011","journal-title":"Stat Med"},{"issue":"4","key":"10.1016\/j.crad.2021.03.003_bib33","doi-asserted-by":"crossref","first-page":"2157","DOI":"10.1007\/s00330-018-5747-x","article-title":"Radiomics features on non-contrast-enhanced CT scan can precisely classify AVM-related haematomas from other spontaneous intraparenchymal haematoma types","volume":"29","author":"Zhang","year":"2019","journal-title":"Eur Radiol"},{"key":"10.1016\/j.crad.2021.03.003_bib34","article-title":"Clinical\u2013radiomics nomogram for risk estimation of early hematoma expansion after acute intracerebral haemorrhage","author":"Chen","year":"2020","journal-title":"Acad Radiol"},{"issue":"4","key":"10.1016\/j.crad.2021.03.003_bib35","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1007\/s12975-015-0410-1","article-title":"The pathophysiology of intracerebral haemorrhage formation and expansion","volume":"6","author":"Schlunk","year":"2015","journal-title":"Transl Stroke Res"},{"issue":"3","key":"10.1016\/j.crad.2021.03.003_bib36","doi-asserted-by":"crossref","first-page":"536","DOI":"10.1097\/00005072-197107000-00015","article-title":"Pathological observations in hypertensive cerebral haemorrhage","volume":"30","author":"Fisher","year":"1971","journal-title":"J Neuropathol Exp Neurol"},{"issue":"1","key":"10.1016\/j.crad.2021.03.003_bib37","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1161\/STROKEAHA.109.564955","article-title":"Relationship between white-matter hyperintensities and haematoma volume and growth in patients with intracerebral haemorrhage","volume":"41","author":"Lou","year":"2010","journal-title":"Stroke"},{"issue":"20","key":"10.1016\/j.crad.2021.03.003_bib38","doi-asserted-by":"crossref","first-page":"2127","DOI":"10.1056\/NEJMoa0707534","article-title":"Efficacy and safety of recombinant activated factor VII for acute intracerebral haemorrhage","volume":"358","author":"Mayer","year":"2008","journal-title":"N Engl J Med"},{"key":"10.1016\/j.crad.2021.03.003_bib39","doi-asserted-by":"crossref","first-page":"393","DOI":"10.3389\/fnagi.2018.00393","article-title":"Predicting the development of normal-appearing white matter with radiomics in the aging brain: a longitudinal clinical study","volume":"10","author":"Shao","year":"2018","journal-title":"Front Aging Neurosci"}],"container-title":["Clinical Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0009926021001598?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0009926021001598?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T20:12:18Z","timestamp":1762114338000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0009926021001598"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8]]},"references-count":39,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2021,8]]}},"alternative-id":["S0009926021001598"],"URL":"https:\/\/doi.org\/10.1016\/j.crad.2021.03.003","relation":{},"ISSN":["0009-9260"],"issn-type":[{"value":"0009-9260","type":"print"}],"subject":[],"published":{"date-parts":[[2021,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Can perihaematomal radiomics features predict haematoma expansion?","name":"articletitle","label":"Article Title"},{"value":"Clinical Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.crad.2021.03.003","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}