233 related articles for article (PubMed ID: 35615596)
1. Development and Validation of a Clinical-Based Signature to Predict the 90-Day Functional Outcome for Spontaneous Intracerebral Hemorrhage.
Huang X; Wang D; Zhang Q; Ma Y; Li S; Zhao H; Deng J; Yang J; Ren J; Xu M; Xi H; Li F; Zhang H; Xie Y; Yuan L; Hai Y; Yue M; Zhou Q; Zhou J
Front Aging Neurosci; 2022; 14():904085. PubMed ID: 35615596
[TBL] [Abstract][Full Text] [Related]
2. A clinical-radiomics nomogram may provide a personalized 90-day functional outcome assessment for spontaneous intracerebral hemorrhage.
Song Z; Tang Z; Liu H; Guo D; Cai J; Zhou Z
Eur Radiol; 2021 Jul; 31(7):4949-4959. PubMed ID: 33733691
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a novel clinical prediction model to predict the 90-day functional outcome of spontaneous intracerebral hemorrhage.
Geng Z; Guo T; Cao Z; He X; Chen J; Yue H; Wu A; Wei L
Front Neurol; 2023; 14():1260104. PubMed ID: 37830093
[TBL] [Abstract][Full Text] [Related]
4. A Radiomics Model Based on CT Images Combined with Multiple Machine Learning Models to Predict the Prognosis of Spontaneous Intracerebral Hemorrhage.
Pei L; Fang T; Xu L; Ni C
World Neurosurg; 2024 Jan; 181():e856-e866. PubMed ID: 37931880
[TBL] [Abstract][Full Text] [Related]
5. A Nomogram Model for Predicting Prognosis in Spontaneous Intracerebral Hemorrhage Patients.
Li Y; Liu X; Wang J; Pan C; Tang Z
J Integr Neurosci; 2023 Feb; 22(2):42. PubMed ID: 36992585
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage.
Zou J; Chen H; Liu C; Cai Z; Yang J; Zhang Y; Li S; Lin H; Tan M
Front Neurosci; 2022; 16():942100. PubMed ID: 36033629
[TBL] [Abstract][Full Text] [Related]
7. Identification and Validation of a Novel Nomogram Predicting 7-day Death in Patients with Intracerebral Hemorrhage.
Han Q; Zuo Z; Su D; Liu X; Fan M; Wang Q; Li M; Chen T
Balkan Med J; 2022 May; 39(3):187-192. PubMed ID: 35362689
[TBL] [Abstract][Full Text] [Related]
8. Neutrophil-to-lymphocyte ratio as an independent predictor for unfavorable functional outcome in aneurysmal subarachnoid hemorrhage.
Giede-Jeppe A; Reichl J; Sprügel MI; Lücking H; Hoelter P; Eyüpoglu IY; Kuramatsu JB; Huttner HB; Gerner ST
J Neurosurg; 2019 Feb; 132(2):400-407. PubMed ID: 30717052
[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. 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]
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. A novel risk score to predict 1-year functional outcome after intracerebral hemorrhage and comparison with existing scores.
Ji R; Shen H; Pan Y; Wang P; Liu G; Wang Y; Li H; Zhao X; Wang Y;
Crit Care; 2013 Nov; 17(6):R275. PubMed ID: 24289116
[TBL] [Abstract][Full Text] [Related]
13. Inflammatory response biomarkers nomogram for predicting pneumonia in patients with spontaneous intracerebral hemorrhage.
Yu T; Liu H; Liu Y; Jiang J
Front Neurol; 2022; 13():1084616. PubMed ID: 36712440
[TBL] [Abstract][Full Text] [Related]
14. Radiomics for prediction of intracerebral hemorrhage outcomes: A retrospective multicenter study.
Huang X; Wang D; Zhang Q; Ma Y; Zhao H; Li S; Deng J; Ren J; Yang J; Zhao Z; Xu M; Zhou Q; Zhou J
Neuroimage Clin; 2022; 36():103242. PubMed ID: 36279754
[TBL] [Abstract][Full Text] [Related]
15. Development and Validation of a Prediction Model for 30-Day Mortality and Functional Outcome in Patients with Primary Brainstem Hemorrhage.
Cai C; Yan C; Chen S; Yang W; Huang Y; Ma J; Xu H
Cerebrovasc Dis; 2024; 53(1):79-87. PubMed ID: 37231825
[TBL] [Abstract][Full Text] [Related]
16. Predictive Nomogram for Unfavorable Outcome of Spontaneous Intracerebral Hemorrhage.
Liu M; Wang Z; Meng X; Zhou Y; Hou X; Li L; Li T; Chen F; Xu Z; Li S; Wang W
World Neurosurg; 2022 Aug; 164():e1111-e1122. PubMed ID: 35654327
[TBL] [Abstract][Full Text] [Related]
17. [Establishment of a nomogram model for predicting hematoma expansion in intracerebral hemorrhage and its multidimensional evaluation].
Wang YQ; Shi D; Lu K; Jin D; Wang R; Xu L; Fan GH; Shen JK; Gong JP; Qian MH
Zhonghua Yi Xue Za Zhi; 2021 Aug; 101(31):2471-2477. PubMed ID: 34399562
[No Abstract] [Full Text] [Related]
18. The predictive value of neutrophil to lymphocyte ratio on 30-day outcomes in spontaneous intracerebral hemorrhage patients after surgical treatment: A retrospective analysis of 128 patients.
Zhao Y; Xie Y; Li S; Hu M
Front Neurol; 2022; 13():963397. PubMed ID: 36071904
[TBL] [Abstract][Full Text] [Related]
19. Development and validation of a nomogram for predicting pulmonary infections after Intracerebral hemorrhage in elderly people.
Liu Y; Zhao L; Li X; Han J; Bian M; Sun X; Chen F
J Stroke Cerebrovasc Dis; 2023 Dec; 32(12):107444. PubMed ID: 37897886
[TBL] [Abstract][Full Text] [Related]
20. Prediction of Poor Outcome in Intracerebral Hemorrhage Based on Computed Tomography Markers.
Du C; Liu B; Yang M; Zhang Q; Ma Q; Ruili R
Cerebrovasc Dis; 2020; 49(5):556-562. PubMed ID: 33011723
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
