BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 38657831)

  • 1. 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]  

  • 2. 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]  

  • 3. Noncontrast Computed Tomography Markers as Predictors of Revised Hematoma Expansion in Acute Intracerebral Hemorrhage.
    Yang WS; Zhang SQ; Shen YQ; Wei X; Zhao LB; Xie XF; Deng L; Li XH; Lv XN; Lv FJ; Dowlatshahi D; Li Q; Xie P
    J Am Heart Assoc; 2021 Feb; 10(3):e018248. PubMed ID: 33506695
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predictive Ability of Ultraearly Hematoma Growth and Spot Sign for Redefined Hematoma Expansion in Patients with Spontaneous Intracerebral Hemorrhage.
    Li J; Liao X; Yu Z; Li H; Zheng J
    J Stroke Cerebrovasc Dis; 2021 Sep; 30(9):105950. PubMed ID: 34214962
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. Can perihaematomal radiomics features predict haematoma expansion?
    Zhu D; Zhang M; Li Q; Liu J; Zhuang Y; Chen Q; Chen C; Xiang Y; Zhang Y; Yang Y
    Clin Radiol; 2021 Aug; 76(8):629.e1-629.e9. PubMed ID: 33858695
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Combining Non-Contrast CT Signs With Onset-to-Imaging Time to Predict the Evolution of Intracerebral Hemorrhage.
    Song L; Qiu X; Zhang C; Zhou H; Guo W; Ye Y; Wang R; Xiong H; Zhang J; Tang D; Zou L; Wang L; Yu Y; Guo T
    Korean J Radiol; 2024 Feb; 25(2):166-178. PubMed ID: 38238018
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine-learning-based performance comparison of two-dimensional (2D) and three-dimensional (3D) CT radiomics features for intracerebral haemorrhage expansion.
    Chen Q; Fu C; Qiu X; He J; Zhao T; Zhang Q; Hu X; Hu H
    Clin Radiol; 2024 Jan; 79(1):e26-e33. PubMed ID: 37926647
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Is the frequency of imaging markers still a predictor for revised intracerebral hemorrhage expansion?
    Song L; Zhou H; Cheng J; Guo W; Ye Y; Wang R; Chen J; Xiong H; Zhang J; Tang D; Zou L; Kuang L; Qiu X; Guo T
    Eur Stroke J; 2024 Jun; 9(2):376-382. PubMed ID: 38234113
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. A reliable grading system for prediction of hematoma expansion in intracerebral hemorrhage in the basal ganglia.
    Huang Y; Zhang Q; Yang M
    Biosci Trends; 2018; 12(2):193-200. PubMed ID: 29760358
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of Early Perihematomal Edema Expansion Based on Noncontrast Computed Tomography Radiomics and Machine Learning in Intracerebral Hemorrhage.
    Li YL; Chen C; Zhang LJ; Zheng YN; Lv XN; Zhao LB; Li Q; Lv FJ
    World Neurosurg; 2023 Jul; 175():e264-e270. PubMed ID: 36958717
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A machine learning approach for predicting perihematomal edema expansion in patients with intracerebral hemorrhage.
    Chen Y; Qin C; Chang J; Lyu Y; Zhang Q; Ye Z; Li Z; Tian F; Ma W; Wei J; Feng M; Yao J; Wang R
    Eur Radiol; 2023 Jun; 33(6):4052-4062. PubMed ID: 36472694
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.