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Inorganic Nanomaterial for Biomedical Imaging of Brain Diseases.
Molecules. 2021 Dec 3;26(23):7340. doi: 10.3390/molecules26237340.
Molecules. 2021.
PMID: 34885919
Free PMC article.
Review.
The ever-growing applications of inorganic nanomaterials in biomedicine provide an exciting way to develop novel imaging systems. Moreover, these nanomaterials with special physicochemical characteristics can be modified by surface modification or combined with functional …
The ever-growing applications of inorganic nanomaterials in biomedicine provide an exciting way to develop novel imaging systems. Mor …
Clot-based time attenuation curve as a novel imaging predictor of mechanical thrombectomy functional outcome in acute ischemia stroke.
Wei J, Jiang J, Zhu Y, Wei X, Sun Z, Sun J, Shi L, Du H, Shang K, Li Y.
Wei J, et al.
Eur Radiol. 2024 Apr;34(4):2198-2208. doi: 10.1007/s00330-023-10196-z. Epub 2023 Sep 14.
Eur Radiol. 2024.
PMID: 37707551
MATERIALS AND METHODS: We performed a study including two cohorts of AIS patients who underwent MT admitted to a single-center between April 2018 and February 2022: a retrospective development cohort (n = 71) and a prospective independent validation cohort (n = 96). ...A c …
MATERIALS AND METHODS: We performed a study including two cohorts of AIS patients who underwent MT admitted to a single-center between April …
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Clot-based radiomics model for cardioembolic stroke prediction with CT imaging before recanalization: a multicenter study.
Jiang J, Wei J, Zhu Y, Wei L, Wei X, Tian H, Zhang L, Wang T, Cheng Y, Zhao Q, Sun Z, Du H, Huang Y, Liu H, Li Y.
Jiang J, et al.
Eur Radiol. 2023 Feb;33(2):970-980. doi: 10.1007/s00330-022-09116-4. Epub 2022 Sep 6.
Eur Radiol. 2023.
PMID: 36066731
OBJECTIVES: To develop a clot-based radiomics model using CT imaging radiomic features and machine learning to identify cardioembolic (CE) stroke before mechanical thrombectomy (MTB) in patients with acute ischemic stroke (AIS). ...A combined radiomics and radiological fea …
OBJECTIVES: To develop a clot-based radiomics model using CT imaging radiomic features and machine learning to identify cardioembolic …
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