| 腮腺良性肿瘤容积穿梭CT灌注时间-密度曲线特征分析 |
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| 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. |
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| 作者姓名： | 杨振兴 郝粉娥 赵磊 杨晓光 刘挨师 |
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| 作者单位： | 内蒙古医科大学附属医院影像诊断科, 呼和浩特 010050 |
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| 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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| 关 键 词： | 体层摄影 X线计算机 腮腺肿瘤 容积穿梭灌注成像 |
| 收稿时间： | 2020-12-02 |
Characteristic Analysis of the Time-density Curve of Volume Shuttle CT Perfusion of Benign Parotid Tumors |
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| 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].Computerized Tomography Theory and Applications,2021,30(5):575-582. |
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| Authors: | YANG Zhenxing HAO Fene ZHAO Lei YANG Xiaoguang LIU aishi |
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| Affiliation: | Department of Imaging Diagnosis, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China |
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| Abstract: | Objective: We intend to explore the value of volume shuttle CT perfusion time-density curve characteristics combined with morphological parameters when applied in the differentiation diagnosis of parotid benign tumors. Methods: We performed volume shuttle CT perfusion imaging on 100 collected patients with parotid tumor before operation and got confirmed by the pathology after operation. The image data acquired was sent to the workstation and PACS system. We observed and analyzed the morphological parameters (location, size, density, boundary, neck lymph node, heightened amplitude of enhanced scan) and types of time-density curve, then adopted χ2 test to deal with enumeration data comparison. The enumeration data matched with normal distribution was dealt with two independent samples t test, the rest data was dealt with rank sum test, test level α=0.05. Results: There was no statistical difference in the morphological parameters of benign parotid tumors (pleomorphic adenoma, adenolymphoma, basal cell adenoma; and myoepithelioma), but we found statistical difference in time-density curves. Conclusion: CT perfusion time-density curve characteristics combined with morphological parameters are of great value in the differentiation diagnosis of parotid benign tumors, and have important guiding significance for the selection of surgical procedures. |
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