BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

310 related articles for article (PubMed ID: 31470362)

  • 21. Accuracy of imaging markers on noncontrast computed tomography in predicting intracerebral hemorrhage expansion.
    Cai J; Zhu H; Yang D; Yang R; Zhao X; Zhou J; Gao P
    Neurol Res; 2020 Nov; 42(11):973-979. PubMed ID: 32693733
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Comparison of hematoma density heterogeneity and ultraearly hematoma growth in predicting hematoma expansion in patients with spontaneous intracerebral hemorrhage.
    Yu Z; Ma L; Zheng J; Guo R; Li M; Wang X; Lin S; Li H; You C
    J Neurol Sci; 2017 Aug; 379():44-48. PubMed ID: 28716277
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Radiomic-based nonlinear supervised learning classifiers on non-contrast CT to predict functional prognosis in patients with spontaneous intracerebral hematoma.
    Serrano E; Moreno J; Llull L; Rodríguez A; Zwanzger C; Amaro S; Oleaga L; López-Rueda A
    Radiologia (Engl Ed); 2023; 65(6):519-530. PubMed ID: 38049251
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine.
    Liu J; Xu H; Chen Q; Zhang T; Sheng W; Huang Q; Song J; Huang D; Lan L; Li Y; Chen W; Yang Y
    EBioMedicine; 2019 May; 43():454-459. PubMed ID: 31060901
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Quantitative parameters of CT texture analysis as potential markersfor early prediction of spontaneous intracranial hemorrhage enlargement.
    Shen Q; Shan Y; Hu Z; Chen W; Yang B; Han J; Huang Y; Xu W; Feng Z
    Eur Radiol; 2018 Oct; 28(10):4389-4396. PubMed ID: 29713780
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Comparison of Ultra-Early Hematoma Growth and Common Noncontrast Computed Tomography Features in Predicting Hematoma Enlargement in Patients with Spontaneous Intracerebral Hemorrhage.
    Xiang Y; Zhang T; Li Y; Liu J; Xu H; He W; Chen Q; Yang Y
    World Neurosurg; 2020 Feb; 134():e75-e81. PubMed ID: 31648055
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Outcome Prediction of Spontaneous Supratentorial Intracerebral Hemorrhage after Surgical Treatment Based on Non-Contrast Computed Tomography: A Multicenter Study.
    Zhang K; Zhou X; Xi Q; Wang X; Yang B; Meng J; Liu M; Dong N; Wu X; Song T; Wei L; Wang P
    J Clin Med; 2023 Feb; 12(4):. PubMed ID: 36836120
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Spot signs in intracerebral hemorrhage: useful for identifying patients at risk for hematoma enlargement?
    Rizos T; Dörner N; Jenetzky E; Sykora M; Mundiyanapurath S; Horstmann S; Veltkamp R; Rohde S; Bendszus M; Steiner T
    Cerebrovasc Dis; 2013; 35(6):582-9. PubMed ID: 23859836
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Predicting intraventricular hemorrhage growth with a machine learning-based, radiomics-clinical model.
    Zhu DQ; Chen Q; Xiang YL; Zhan CY; Zhang MY; Chen C; Zhuge QC; Chen WJ; Yang XM; Yang YJ
    Aging (Albany NY); 2021 May; 13(9):12833-12848. PubMed ID: 33946042
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Artificial Intelligence Can Effectively Predict Early Hematoma Expansion of Intracerebral Hemorrhage Analyzing Noncontrast Computed Tomography Image.
    Teng L; Ren Q; Zhang P; Wu Z; Guo W; Ren T
    Front Aging Neurosci; 2021; 13():632138. PubMed ID: 34122038
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Accuracy of Shape Irregularity and Density Heterogeneity on Noncontrast Computed Tomography for Predicting Hematoma Expansion in Spontaneous Intracerebral Hemorrhage: A Systematic Review and Meta-Analysis.
    Yu Z; Zheng J; Xu Z; Li M; Wang X; Lin S; Li H; You C
    World Neurosurg; 2017 Dec; 108():347-355. PubMed ID: 28919232
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Predicting Hematoma Expansion and Prognosis in Cerebral Contusions: A Radiomics-Clinical Approach.
    He H; Liu J; Li C; Guo Y; Liang K; Du J; Xue J; Liang Y; Chen P; Liu L; Cui M; Wang J; Liu Y; Tian S; Deng Y
    J Neurotrauma; 2024 Jun; 41(11-12):1337-1352. PubMed ID: 38326935
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Comparison of CT black hole sign and other CT features in predicting hematoma expansion in patients with ICH.
    He GN; Guo HZ; Han X; Wang EF; Zhang YQ
    J Neurol; 2018 Aug; 265(8):1883-1890. PubMed ID: 29948249
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Are computed-tomography-based hematoma radiomics features reproducible and predictive of intracerebral hemorrhage expansion? an
    Chen K; Deng L; Li Q; Luo L
    Br J Radiol; 2021 May; 94(1121):20200724. PubMed ID: 33835831
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparison of Black Hole Sign, Satellite Sign, and Iodine Sign to Predict Hematoma Expansion in Patients with Spontaneous Intracerebral Hemorrhage.
    Shakya MR; Fu F; Zhang M; Shan Y; Yu F; Sun S; Lu J
    Biomed Res Int; 2021; 2021():3919710. PubMed ID: 33604373
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Black Hole Sign: Novel Imaging Marker That Predicts Hematoma Growth in Patients With Intracerebral Hemorrhage.
    Li Q; Zhang G; Xiong X; Wang XC; Yang WS; Li KW; Wei X; Xie P
    Stroke; 2016 Jul; 47(7):1777-81. PubMed ID: 27174523
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 16.