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Journal Abstract Search

276 related items for PubMed ID: 30500588

  • 1. Establishment and Verification of the Hematoma Expansion Prediction Score of Intracerebral Hemorrhage in the Qinghai-Tibetan Plateau.
    Du CN, Yang MF, Zhang Q, Jin XQ, Yan C, Huang YW.
    World Neurosurg; 2019 Mar; 123():e465-e473. PubMed ID: 30500588
    [Abstract] [Full Text] [Related]

  • 2. 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 Mar; 12(2):193-200. PubMed ID: 29760358
    [Abstract] [Full Text] [Related]

  • 3. Combining Investigation of Imaging Markers (Island Sign and Blend Sign) and Clinical Factors in Predicting Hematoma Expansion of Intracerebral Hemorrhage in the Basal Ganglia.
    Huang YW, Yang MF.
    World Neurosurg; 2018 Dec; 120():e1000-e1010. PubMed ID: 30201578
    [Abstract] [Full Text] [Related]

  • 4. 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
    [Abstract] [Full Text] [Related]

  • 5. 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
    [Abstract] [Full Text] [Related]

  • 6. Nomogram Model for Predicting Hematoma Expansion in Spontaneous Intracerebral Hemorrhage: Multicenter Retrospective Study.
    Yang M, Du C, Zhang Q, Ma Q, Li R.
    World Neurosurg; 2020 May; 137():e470-e478. PubMed ID: 32058111
    [Abstract] [Full Text] [Related]

  • 7. Establishment and evaluation of a nomogram model for predicting hematoma expansion in hypertensive intracerebral hemorrhage based on clinical factors and plain CT scan signs.
    Yu F, Yang Y, He Y, Liu J, Liu H, Liu H.
    Ann Palliat Med; 2021 Dec; 10(12):12789-12800. PubMed ID: 35016444
    [Abstract] [Full Text] [Related]

  • 8. [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 17; 101(31):2471-2477. PubMed ID: 34399562
    [Abstract] [Full Text] [Related]

  • 9. 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 17; 64(8):1547-1556. PubMed ID: 35083504
    [Abstract] [Full Text] [Related]

  • 10. A novel model for predicting the outcome of intracerebral hemorrhage: Based on 1186 Patients.
    He XW, Chen MD, Du CN, Zhao K, Yang MF, Ma QF.
    J Stroke Cerebrovasc Dis; 2020 Aug 17; 29(8):104867. PubMed ID: 32689632
    [Abstract] [Full Text] [Related]

  • 11. 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 Aug 17; 11(6):682-687. PubMed ID: 29311451
    [Abstract] [Full Text] [Related]

  • 12. 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 17; 134():e75-e81. PubMed ID: 31648055
    [Abstract] [Full Text] [Related]

  • 13. 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 17; 43():454-459. PubMed ID: 31060901
    [Abstract] [Full Text] [Related]

  • 14. 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 May 17; 49(5):556-562. PubMed ID: 33011723
    [Abstract] [Full Text] [Related]

  • 15. Determining the Optimal Shape-Related Indicator on Noncontrast Computed Tomography for Predicting Hematoma Expansion in Spontaneous Intracerebral Hemorrhage.
    Yu Z, Zheng J, Li M, Wang X, Guo R, Ma L, You C, Li H.
    World Neurosurg; 2019 Jan 17; 121():e584-e588. PubMed ID: 30292034
    [Abstract] [Full Text] [Related]

  • 16. Spontaneous Intracerebral Hemorrhage in a Plateau Area: A Study Based on the Tibetan Population.
    Chen R, Xiao A, You C, Ma L.
    World Neurosurg; 2018 Aug 17; 116():e769-e774. PubMed ID: 29787871
    [Abstract] [Full Text] [Related]

  • 17. 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 17; 38(9):1591-1597. PubMed ID: 28577268
    [Abstract] [Full Text] [Related]

  • 18. Evaluating the Predictive Value of Island Sign and Spot Sign for Hematoma Expansion in Spontaneous Intracerebral Hemorrhage.
    Zheng J, Yu Z, Wang C, Li M, Wang X, You C, Li H.
    World Neurosurg; 2018 Sep 17; 117():e167-e171. PubMed ID: 29883830
    [Abstract] [Full Text] [Related]

  • 19. Black Hole Sign on Noncontrast Computed Tomography in Predicting Hematoma Expansion in Patients with Intracerebral Hemorrhage: A Meta-analysis.
    Chen Y, Tian L, Wang L, Qin Y, Cai J.
    Curr Med Imaging; 2020 Sep 17; 16(7):878-886. PubMed ID: 33059557
    [Abstract] [Full Text] [Related]

  • 20. Island Sign: An Imaging Predictor for Early Hematoma Expansion and Poor Outcome in Patients With Intracerebral Hemorrhage.
    Li Q, Liu QJ, Yang WS, Wang XC, Zhao LB, Xiong X, Li R, Cao D, Zhu D, Wei X, Xie P.
    Stroke; 2017 Nov 17; 48(11):3019-3025. PubMed ID: 29018128
    [Abstract] [Full Text] [Related]

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