BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

319 related articles for article (PubMed ID: 31470362)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. HE-Mind: A model for automatically predicting hematoma expansion after spontaneous intracerebral hemorrhage.
    Zhou Z; Chen W; Yu R; Chen Y; Li X; Zhou H; Fan Q; Wang J; Wu X; Zhou Y; Zhou X; Guo D
    Eur J Radiol; 2024 Jul; 176():111533. PubMed ID: 38833770
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomics features on non-contrast-enhanced CT scan can precisely classify AVM-related hematomas from other spontaneous intraparenchymal hematoma types.
    Zhang Y; Zhang B; Liang F; Liang S; Zhang Y; Yan P; Ma C; Liu A; Guo F; Jiang C
    Eur Radiol; 2019 Apr; 29(4):2157-2165. PubMed ID: 30306329
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Radiomics for predicting hematoma expansion in patients with hypertensive intraparenchymal hematomas.
    Ma C; Zhang Y; Niyazi T; Wei J; Guocai G; Liu J; Liang S; Liang F; Yan P; Wang K; Jiang C
    Eur J Radiol; 2019 Jun; 115():10-15. PubMed ID: 31084753
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of Hematoma Expansion in Intracerebral Hemorrhage in 24 Hours by Machine Learning Algorithm.
    Du C; Li Y; Yang M; Ma Q; Ge S; Ma C
    World Neurosurg; 2024 May; 185():e475-e483. PubMed ID: 38387789
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The predictive accuracy of the black hole sign and the spot sign for hematoma expansion in patients with spontaneous intracerebral hemorrhage.
    Yu Z; Zheng J; Ma L; Guo R; Li M; Wang X; Lin S; Li H; You C
    Neurol Sci; 2017 Sep; 38(9):1591-1597. PubMed ID: 28577268
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A comparative study of the blend sign and the black hole sign on CT as a predictor of hematoma expansion in spontaneous intracerebral hemorrhage.
    Li R; Yang M
    Biosci Trends; 2017; 11(6):682-687. PubMed ID: 29311451
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and validation of a machine learning-based predictive model for assessing the 90-day prognostic outcome of patients with spontaneous intracerebral hemorrhage.
    Geng Z; Yang C; Zhao Z; Yan Y; Guo T; Liu C; Wu A; Wu X; Wei L; Tian Y; Hu P; Wang K
    J Transl Med; 2024 Mar; 22(1):236. PubMed ID: 38439097
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Machine Learning-Based Perihematomal Tissue Features to Predict Clinical Outcome after Spontaneous Intracerebral Hemorrhage.
    Qi X; Hu G; Sun H; Chen Z; Yang C
    J Stroke Cerebrovasc Dis; 2022 Jun; 31(6):106475. PubMed ID: 35417846
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Hypodensities detected at 1.5-3 h after intracerebral hemorrhage better predicts secondary neurological deterioration.
    Dong J; Yang X; Xiang J; Dong Q; Tang Y; Chu H
    J Neurol Sci; 2019 Jan; 396():219-224. PubMed ID: 30513481
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Predicting Intracerebral Hemorrhage Expansion With Noncontrast Computed Tomography: The BAT Score.
    Morotti A; Dowlatshahi D; Boulouis G; Al-Ajlan F; Demchuk AM; Aviv RI; Yu L; Schwab K; Romero JM; Gurol ME; Viswanathan A; Anderson CD; Chang Y; Greenberg SM; Qureshi AI; Rosand J; Goldstein JN;
    Stroke; 2018 May; 49(5):1163-1169. PubMed ID: 29669875
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.