193 related articles for article (PubMed ID: 36303563)
1. A non-contrast computed tomography-based radiomics nomogram for the prediction of hematoma expansion in patients with deep ganglionic intracerebral hemorrhage.
Xu W; Guo H; Li H; Dai Q; Song K; Li F; Zhou J; Yao J; Wang Z; Liu X
Front Neurol; 2022; 13():974183. PubMed ID: 36303563
[TBL] [Abstract][Full Text] [Related]
2. Clinical-radiomics Nomogram for Risk Estimation of Early Hematoma Expansion after Acute Intracerebral Hemorrhage.
Chen Q; Zhu D; Liu J; Zhang M; Xu H; Xiang Y; Zhan C; Zhang Y; Huang S; Yang Y
Acad Radiol; 2021 Mar; 28(3):307-317. PubMed ID: 32238303
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a clinical-radiomics nomogram for predicting a poor outcome and 30-day mortality after a spontaneous intracerebral hemorrhage.
Xie Y; Chen F; Li H; Wu Y; Fu H; Zhong Q; Chen J; Wang X
Quant Imaging Med Surg; 2022 Oct; 12(10):4900-4913. PubMed ID: 36185057
[TBL] [Abstract][Full Text] [Related]
4. Noncontrast Computed Tomography-Based Radiomics Analysis in Discriminating Early Hematoma Expansion after Spontaneous Intracerebral Hemorrhage.
Song Z; Guo D; Tang Z; Liu H; Li X; Luo S; Yao X; Song W; Song J; Zhou Z
Korean J Radiol; 2021 Mar; 22(3):415-424. PubMed ID: 33169546
[TBL] [Abstract][Full Text] [Related]
5. Clinical Features, Non-Contrast CT Radiomic and Radiological Signs in Models for the Prediction of Hematoma Expansion in Intracerebral Hemorrhage.
Chen ZF; Zhang L; Carrington AM; Thornhill R; Miguel O; Auriat AM; Omid-Fard N; Hiremath S; Tshemeister Abitbul V; Dowlatshahi D; Demchuk A; Gladstone D; Morotti A; Casetta I; Fainardi E; Huynh T; Elkabouli M; Talbot Z; Melkus G; Aviv RI
Can Assoc Radiol J; 2023 Nov; 74(4):713-722. PubMed ID: 37070854
[TBL] [Abstract][Full Text] [Related]
6. A Radiomics Nomogram for Classifying Hematoma Entities in Acute Spontaneous Intracerebral Hemorrhage on Non-contrast-Enhanced Computed Tomography.
Wang J; Xiong X; Ye J; Yang Y; He J; Liu J; Yin YL
Front Neurosci; 2022; 16():837041. PubMed ID: 35757547
[TBL] [Abstract][Full Text] [Related]
7. Noncontrast computer tomography-based radiomics model for predicting intracerebral hemorrhage expansion: preliminary findings and comparison with conventional radiological model.
Xie H; Ma S; Wang X; Zhang X
Eur Radiol; 2020 Jan; 30(1):87-98. PubMed ID: 31385050
[TBL] [Abstract][Full Text] [Related]
8. Prediction of early hematoma expansion of spontaneous intracerebral hemorrhage based on deep learning radiomics features of noncontrast computed tomography.
Feng C; Ding Z; Lao Q; Zhen T; Ruan M; Han J; He L; Shen Q
Eur Radiol; 2024 May; 34(5):2908-2920. PubMed ID: 37938384
[TBL] [Abstract][Full Text] [Related]
9. Combination of Hematoma Volume and Perihematoma Radiomics Analysis on Baseline CT Scan Predicts the Growth of Perihematomal Edema.
Wang J; Xiong X; Zou J; Fu J; Yin Y; Ye J
Clin Neuroradiol; 2023 Mar; 33(1):199-209. PubMed ID: 35943522
[TBL] [Abstract][Full Text] [Related]
10. Non-Contrast CT-Based Radiomics Score for Predicting Hematoma Enlargement in Spontaneous Intracerebral Hemorrhage.
Li H; Xie Y; Liu H; Wang X
Clin Neuroradiol; 2022 Jun; 32(2):517-528. PubMed ID: 34324004
[TBL] [Abstract][Full Text] [Related]
11. A predictive nomogram for intracerebral hematoma expansion based on non-contrast computed tomography and clinical features.
Zhang X; Gao Q; Chen K; Wu Q; Chen B; Zeng S; Fang X
Neuroradiology; 2022 Aug; 64(8):1547-1556. PubMed ID: 35083504
[TBL] [Abstract][Full Text] [Related]
12. Quantitative imaging for predicting hematoma expansion in intracerebral hemorrhage: A multimodel comparison.
Yang WS; Liu JY; Shen YQ; Xie XF; Zhang SQ; Liu FY; Yu JL; Ma YB; Xiao ZS; Duan HW; Li Q; Chen SX; Xie P
J Stroke Cerebrovasc Dis; 2024 Jul; 33(7):107731. PubMed ID: 38657831
[TBL] [Abstract][Full Text] [Related]
13. The Added Value of Intraventricular Hemorrhage on the Radiomics Analysis for the Prediction of Hematoma Expansion of Spontaneous Intracerebral Hemorrhage.
Wu TC; Liu YL; Chen JH; Zhang Y; Chen TY; Ko CC; Su MY
Diagnostics (Basel); 2022 Nov; 12(11):. PubMed ID: 36428815
[TBL] [Abstract][Full Text] [Related]
14. Prediction of Hematoma Expansion in Hypertensive Intracerebral Hemorrhage by a Radiomics Nomogram.
Dai J; Liu D; Li X; Liu Y; Wang F; Yang Q
Pak J Med Sci; 2023; 39(4):1149-1155. PubMed ID: 37492285
[TBL] [Abstract][Full Text] [Related]
15. CT-based radiomics models predict spontaneous intracerebral hemorrhage expansion and are comparable with CT angiography spot sign.
Li Q; Li F; Liu H; Li Y; Chen H; Yang W; Duan S; Zhang H
Front Neurol; 2024; 15():1332509. PubMed ID: 38476195
[TBL] [Abstract][Full Text] [Related]
16. Radiomics Features on Computed Tomography Combined With Clinical-Radiological Factors Predicting Progressive Hemorrhage of Cerebral Contusion.
Yang Q; Sun J; Guo Y; Zeng P; Jin K; Huang C; Xu J; Hou L; Li C; Feng J
Front Neurol; 2022; 13():839784. PubMed ID: 35775053
[TBL] [Abstract][Full Text] [Related]
17. A clinical-radiomics nomogram for the preoperative prediction of lung metastasis in colorectal cancer patients with indeterminate pulmonary nodules.
Hu T; Wang S; Huang L; Wang J; Shi D; Li Y; Tong T; Peng W
Eur Radiol; 2019 Jan; 29(1):439-449. PubMed ID: 29948074
[TBL] [Abstract][Full Text] [Related]
18. Perihematomal edema-based CT-radiomics model to predict functional outcome in patients with intracerebral hemorrhage.
Huang X; Wang D; Ma Y; Zhang Q; Ren J; Zhao H; Li S; Deng J; Yang J; Zhao Z; Xu M; Zhou Q; Zhou J
Diagn Interv Imaging; 2023 Sep; 104(9):391-400. PubMed ID: 37179244
[TBL] [Abstract][Full Text] [Related]
19. Radiomics features on non-contrast computed tomography predict early enlargement of spontaneous intracerebral hemorrhage.
Li H; Xie Y; Wang X; Chen F; Sun J; Jiang X
Clin Neurol Neurosurg; 2019 Oct; 185():105491. PubMed ID: 31470362
[TBL] [Abstract][Full Text] [Related]
20. Radiomics for predicting revised hematoma expansion with the inclusion of intraventricular hemorrhage growth in patients with supratentorial spontaneous intraparenchymal hematomas.
Xia X; Ren Q; Cui J; Dong H; Huang Z; Jiang Q; Guan S; Huang C; Yin J; Xu J; Liang K; Wang H; Han K; Meng X
Ann Transl Med; 2022 Jan; 10(1):8. PubMed ID: 35242853
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]