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    Please use this identifier to cite or link to this item: https://ir.csmu.edu.tw:8080/ir/handle/310902500/21009


    Title: Histogram analysis of T2*-based pharmacokinetic imaging in cerebral glioma grading
    Authors: Hua Shan Liu;Shih Wei Chiang;Hsiao Wen Chung;Ping Huei Tsai;Fei Ting Hsu;Nai Yu Cho;Chao Ying Wang;Ming Chung Chou;Cheng Yu Chen
    Contributors: 醫學影像暨放射科學系
    Keywords: Permeability imagingTumor gradingCerebral gliomaHistogram analysis
    Date: 2018-03-01
    Issue Date: 2020-08-06T06:31:44Z (UTC)
    Publisher: Computer Methods and Programs in Biomedicine
    Abstract: Abstract
    Background and objective
    To investigate the feasibility of histogram analysis of the T2*-based permeability parameter volume transfer constant (Ktrans) for glioma grading and to explore the diagnostic performance of the histogram analysis of Ktrans and blood plasma volume (vp).

    Methods
    We recruited 31 and 11 patients with high- and low-grade gliomas, respectively. The histogram parameters of Ktrans and vp, derived from the first-pass pharmacokinetic modeling based on the T2* dynamic susceptibility-weighted contrast-enhanced perfusion-weighted magnetic resonance imaging (T2* DSC-PW-MRI) from the entire tumor volume, were evaluated for differentiating glioma grades.

    Results
    Histogram parameters of Ktrans and vp showed significant differences between high- and low-grade gliomas and exhibited significant correlations with tumor grades. The mean Ktrans derived from the T2* DSC-PW-MRI had the highest sensitivity and specificity for differentiating high-grade gliomas from low-grade gliomas compared with other histogram parameters of Ktrans and vp.

    Conclusions
    Histogram analysis of T2*-based pharmacokinetic imaging is useful for cerebral glioma grading. The histogram parameters of the entire tumor Ktrans measurement can provide increased accuracy with additional information regarding microvascular permeability changes for identifying high-grade brain tumors.
    URI: https://ir.csmu.edu.tw:8080/ir/handle/310902500/21009
    Relation: Computer Methods and Programs in Biomedicine, v.155, p.19-p.27
    Appears in Collections:[醫學影像暨放射科學系暨碩士班] 期刊論文

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