摘要
目的探讨CT能谱成像(GSI)技术在甲状腺良恶性结节鉴别诊断中的价值。方法对天津市静海县医院2012年10月至2013年10月行甲状腺能谱CT检查并经病理证实的甲状腺疾病患者30例(35个结节)与15名健康志愿者的甲状腺进行分析。用能谱CT行GSI单能模式平扫及增强扫描,图像采集后用GSI Viewer软件进行图像处理,测量并计算病变与正常甲状腺组织的碘浓度、能谱曲线斜率。结果手术病理证实35个甲状腺结节中乳头状腺癌15个,结节性甲状腺肿20个。乳头状腺癌组、结节性甲状腺肿组与正常甲状腺组的碘浓度(mg/cm3)分别为,平扫期:0.39±0.16、0.81±0.23、1.80±0.29;动脉期:1.13±0.45、3.53±0.42、5.78±0.42和静脉期:2.99±0.35、2.44±0.48、4.58±0.43。曲线斜率分别为平扫期:0.32±0.36、0.91±0.40、2.45±0.23;动脉期:1.78±0.34、4.32±0.43、6.44±0.43和静脉期:3.12±0.35、2.59±0.33、5.12±0.57。在平扫、动脉期和静脉期,三组间的碘浓度和曲线斜率两两比较差异均有统计学意义(P均<0.05)。结论联合CT形态学及能谱成像技术,有助于甲状腺良恶性结节的鉴别诊断。
Objective To investigate the value of gemstone spectral imaging （GSI） in the differential diagnosis of benign and malignant thyroid nodules. Methods Totally 3（1 patients with 35 thyroid nodules confimled by pathology underwent gemstone spectral imaging contrast enhanced examination in Tianjin Jinghal County Hospital from October 2012 to October 2013, and 15 healthy volunteers as comparison group.Using GSI Viewer measured and calculated the iodine concentration and spectral curve, Results Surgical pathology results showed that there were 15 cases of papillary thyroid carcinoma and 20 cases of nodular goiter in 35 thyroid nodules. The iodine concentration for papillary thyroid carcinoma group, nodular goiter group and normal thyroid group was 0.39 ± 0.16, 0.81±0.23, 1.80 ± 0.29（mg/cm3） in non-contrast GSI mode, 1.13 ± 0.45, 3.53 ± 0.42, 5.78 ± 0.42（mg/cm3） in arterial phase（AP）, and 2.99 ± 0.35, 2.44 ± （1.48, 4.58 ± 0.43（mg/cm3） in venous phase（VP）.The mean slope of spectral curve of three groups was 0.32 ± 0.36, 0.91 4 0.40, 2.45± 0.23 in non-contrast GSI mode, 1.78 ± 0.34, 4.32±0.43, 6.44±0.43 in AP, and 3.12±0.35, 2.59±0.33, 5.12±0.57 in VP. There were significant differences between each two groups on iodine concentration and slope of spectral curve in non-contrast GSI mode, AP and VP （all P〈0.05）. Conclusion Combined CT morphology and GSI can help the differential diagnosis of benign and malignant thyroid nodules.
出处
《中国CT和MRI杂志》
2014年第5期1-4,8,共5页
Chinese Journal of CT and MRI
