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腮腺良性肿瘤容积穿梭CT灌注时间-密度曲线特征分析

杨振兴 郝粉娥 赵磊 杨晓光 刘挨师

杨振兴, 郝粉娥, 赵磊, 杨晓光, 刘挨师. 腮腺良性肿瘤容积穿梭CT灌注时间-密度曲线特征分析[J]. CT理论与应用研究, 2021, 30(5): 575-582. doi: 10.15953/j.1004-4140.2021.30.05.05
引用本文: 杨振兴, 郝粉娥, 赵磊, 杨晓光, 刘挨师. 腮腺良性肿瘤容积穿梭CT灌注时间-密度曲线特征分析[J]. CT理论与应用研究, 2021, 30(5): 575-582. doi: 10.15953/j.1004-4140.2021.30.05.05
YANG Zhenxing, HAO Fene, ZHAO Lei, YANG Xiaoguang, LIU aishi. Characteristic Analysis of the Time-density Curve of Volume Shuttle CT Perfusion of Benign Parotid Tumors[J]. CT Theory and Applications, 2021, 30(5): 575-582. doi: 10.15953/j.1004-4140.2021.30.05.05
Citation: YANG Zhenxing, HAO Fene, ZHAO Lei, YANG Xiaoguang, LIU aishi. Characteristic Analysis of the Time-density Curve of Volume Shuttle CT Perfusion of Benign Parotid Tumors[J]. CT Theory and Applications, 2021, 30(5): 575-582. doi: 10.15953/j.1004-4140.2021.30.05.05

腮腺良性肿瘤容积穿梭CT灌注时间-密度曲线特征分析

doi: 10.15953/j.1004-4140.2021.30.05.05
详细信息
    作者简介:

    杨振兴,男,医学硕士,内蒙古医科大学附属医院影像诊断科主治医师,主要从事医学影像学诊断工作,E-mail:492608424@qq.com;刘挨师*,男,医学博士,内蒙古医科大学附属医院影像诊断科主任、主任医师、硕士研究生导师,E-mail:liuaishi@sina.com。

  • 中图分类号: R814.42;O242

Characteristic Analysis of the Time-density Curve of Volume Shuttle CT Perfusion of Benign Parotid Tumors

  • 摘要: 目的:探讨容积穿梭CT灌注时间-密度曲线特征结合形态学参数对腮腺良性肿瘤鉴别诊断的价值。方法:收集我院拟诊腮腺肿瘤患者100例,术前均行容积穿梭CT灌注成像检查,术后经手术病理证实。将所得影像数据传送至工作站及pacs系统,观察分析不同病理类型腮腺肿瘤的形态学参数(位置、大小、密度、边界、颈部淋巴结、增强扫描强化幅值)及时间-密度曲线(TDC)类型,计数资料比较采用χ2检验,计量资料符合正态分布采用两独立样本t检验,不符合正态分布的采用秩和检验,检验水准α=0.05。结果:腮腺良性肿瘤(多行性腺瘤、腺淋巴瘤、基底细胞瘤及肌上皮瘤)间的形态学参数无统计学差异;时间-密度曲线类型差异有统计学差异。结论:CT灌注时间-密度曲线特征结合形态学参数对腮腺良性肿瘤的鉴别诊断有重要价值,为患者术式的选择有重要指导意义。

     

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  • 收稿日期:  2020-12-02
  • 网络出版日期:  2021-09-23

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