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Journal Abstract Search


293 related items for PubMed ID: 31986895

  • 1. Histogram analysis in predicting the grade and histological subtype of meningiomas based on diffusion kurtosis imaging.
    Chen X, Lin L, Wu J, Yang G, Zhong T, Du X, Chen Z, Xu G, Song Y, Xue Y, Duan Q.
    Acta Radiol; 2020 Sep; 61(9):1228-1239. PubMed ID: 31986895
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  • 5. Histogram analysis of diffusion kurtosis imaging derived maps may distinguish between low and high grade gliomas before surgery.
    Qi XX, Shi DF, Ren SX, Zhang SY, Li L, Li QC, Guan LM.
    Eur Radiol; 2018 Apr; 28(4):1748-1755. PubMed ID: 29143940
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  • 10. ADC histogram parameters differentiating atypical from transitional meningiomas: correlation with Ki-67 proliferation index.
    Han T, Liu X, Jing M, Zhang Y, Zhang B, Deng L, Zhou J.
    Acta Radiol; 2023 Dec; 64(12):3032-3041. PubMed ID: 37822165
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  • 12. Meningioma grading using conventional MRI histogram analysis based on 3D tumor measurement.
    Li X, Miao Y, Han L, Dong J, Guo Y, Shang Y, Xie L, Song Q, Liu A.
    Eur J Radiol; 2019 Jan; 110():45-53. PubMed ID: 30599872
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  • 14. Histogram analysis of diffusion kurtosis imaging estimates for in vivo assessment of 2016 WHO glioma grades: A cross-sectional observational study.
    Hempel JM, Schittenhelm J, Brendle C, Bender B, Bier G, Skardelly M, Tabatabai G, Castaneda Vega S, Ernemann U, Klose U.
    Eur J Radiol; 2017 Oct; 95():202-211. PubMed ID: 28987669
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  • 17. Histological Grade of Meningioma: Prediction by Intravoxel Incoherent Motion Histogram Parameters.
    Bohara M, Nakajo M, Kamimura K, Yoneyama T, Fukukura Y, Kiyao Y, Yonezawa H, Higa N, Kirishima M, Yoshiura T.
    Acad Radiol; 2020 Mar; 27(3):342-353. PubMed ID: 31151902
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