低剂量多层螺旋CT灌注成像对甲状腺结节鉴别诊断的价值

发布时间：2018-06-28 03:37

本文选题：甲状腺结节 + 甲状腺肿瘤　；参考：《广东医学》2017年08期

【摘要】：目的探讨低剂量多层螺旋CT(MSCT)灌注成像在甲状腺良恶性结节鉴别诊断中的价值。方法选取72例手术病理证实甲状腺结节患者,良性组60例(结节性甲状腺肿46例、甲状腺腺瘤14例),恶性组12例,术前均采用常规CT平扫和同层动态灌注扫描,计算出血容量(BV)、血流量(BF)、平均通过时间(MTT)、达峰值时间(TTP),并进行统计学分析,比较两组各种灌注参数的差异。结果良性组BV、BF、MTT及TTP值分别为(37.73±27.66)mL/100 g、(215.69±154.05)mL/(100 g·min)、(16.22±11.31)s、(29.35±7.51)s;恶性组分别为(45.26±11.29)mL/100 g、(261.38±60.50)mL/(100 g·min)、(10.17±0.28)s、(23.59±1.68)s。比较良性组与恶性组各灌注参数,MTT和TTP差异有统计学意义(P0.05),BV、BF差异均无统计学意义(P0.05)。结论低剂量MSCT灌注成像可在一定程度上反映甲状腺结节血流动力学状况。通过分析各种灌注参数的差异,有助于甲状腺良恶性结节的鉴别诊断。MTT和TTP对甲状腺良、恶性结节诊断有一定的参考价值。
[Abstract]:Objective to evaluate the value of low-dose multi-slice spiral CT (MSCT) perfusion imaging in differential diagnosis of benign and malignant thyroid nodules. Methods Seventy-two patients with thyroid nodules confirmed by operation and pathology were selected, including 60 patients in benign group (46 patients with nodular goiter and 14 patients with thyroid adenoma) and 12 patients in malignant group. Routine CT scan and dynamic perfusion scanning were performed before operation. Blood volume (BV), blood flow (BF), mean transit time (MTT), peak time (TTP) were calculated. Results the values of BVT and TTP were (37.73 卤27.66) mL / 100g, (215.69 卤154.05) mL / (100 g min), (16.22 卤11.31) s, (29.35 卤7.51) s in benign group and (45.26 卤11.29) mL / 100g in malignant group, (261.38 卤60.50) mL / (100 g min), (10.17 卤0.28) s, () 23.59 卤1.68 s in malignant group, respectively. There were significant differences in MTT and TTP between benign group and malignant group (P0.05). There was no significant difference in BV BF between benign group and malignant group (P0.05). Conclusion low-dose MSCT perfusion imaging can reflect the hemodynamics of thyroid nodules to some extent. By analyzing the difference of various perfusion parameters, it is helpful for the differential diagnosis of benign and malignant thyroid nodules. MTT and TTP have certain reference value for the diagnosis of benign and malignant thyroid nodules.
【作者单位】：佛山市顺德区第二人民医院影像科;佛山市顺德区妇幼保健院影像科;
【基金】：佛山市科技局医学科技攻关项目(编号:2014AB002313)
【分类号】：R581;R816.6

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