{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Liu J"],"funding":["national natural science foundation of china","Natural Science Foundation of China","west china hospital, sichuan university"],"pagination":["17562864211060029"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8842178"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14"],"pubmed_abstract":["<h4>Introduction</h4>Patients with hemorrhagic transformation (HT) were reported to have hemorrhage expansion. However, identification these patients with high risk of hemorrhage expansion has not been well studied.<h4>Objectives</h4>We aimed to develop a radiomic score to predict hemorrhage expansion after HT among patients treated with thrombolysis/thrombectomy during acute phase of ischemic stroke.<h4>Methods</h4>A total of 104 patients with HT after reperfusion treatment from the West China hospital, Sichuan University, were retrospectively included in this study between 1 January 2012 and 31 December 2020. The preprocessed initial non-contrast-enhanced computed tomography (NECT) imaging brain images were used for radiomic feature extraction. A synthetic minority oversampling technique"],"journal":["Therapeutic advances in neurological disorders"],"pubmed_title":["Radiomics-based prediction of hemorrhage expansion among patients with thrombolysis/thrombectomy related-hemorrhagic transformation using machine learning."],"pmcid":["PMC8842178"],"funding_grant_id":["81901199","81620108009","ZYGD18009"],"pubmed_authors":["Liu J","Tao W","Liu M","Wu B","Chen X","Wang Z"],"additional_accession":[]},"is_claimable":false,"name":"Radiomics-based prediction of hemorrhage expansion among patients with thrombolysis/thrombectomy related-hemorrhagic transformation using machine learning.","description":"<h4>Introduction</h4>Patients with hemorrhagic transformation (HT) were reported to have hemorrhage expansion. However, identification these patients with high risk of hemorrhage expansion has not been well studied.<h4>Objectives</h4>We aimed to develop a radiomic score to predict hemorrhage expansion after HT among patients treated with thrombolysis/thrombectomy during acute phase of ischemic stroke.<h4>Methods</h4>A total of 104 patients with HT after reperfusion treatment from the West China hospital, Sichuan University, were retrospectively included in this study between 1 January 2012 and 31 December 2020. The preprocessed initial non-contrast-enhanced computed tomography (NECT) imaging brain images were used for radiomic feature extraction. A synthetic minority oversampling technique","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021","modification":"2025-04-04T14:49:19.491Z","creation":"2025-04-04T14:49:19.491Z"},"accession":"S-EPMC8842178","cross_references":{"pubmed":["35173809"],"doi":["10.1177/17562864211060029"]}}