论文部分内容阅读
目的探讨彩色多普勒超声在鉴别甲状腺结节良恶性中的应用价值。方法选取2014年6月至2015年8月于辽宁省朝阳市中心医院普外科行手术治疗的208例甲状腺结节患者作为研究对象,根据术后病理结果分为良性组(143例)和恶性组(65例)。所有患者均行彩色多普勒超声检查,分析两组患者的彩色多普勒超声检查结果,并对超声图像特点和血流情况进行比较分析。结果彩色多普勒超声准确诊断186例,其中良性132例,恶性54例,符合率为89.4%(186/208);良性病变多为混合回声,且形态规则、边缘清晰、有包膜、存在均匀声晕环、偶见内部钙化,恶性结节则多为低回声,且边缘不清晰,多无包膜,形态不规则,存在不均宽声晕,多有淋巴结肿大,内部多钙化,经统计学分析,两组间超声特征比较,差异均有统计学意义(均P<0.05);两组血流丰富程度分级和血流分型结果比较,差异均有统计学意义(均P<0.05)。结论彩色多普勒超声作为无创性检查手段,能够清晰显示甲状腺结节的特点,鉴别甲状腺结节良恶性的准确率较高,对于临床诊治甲状腺结节具有重要意义。
Objective To explore the value of color Doppler ultrasound in differentiating benign and malignant thyroid nodules. Methods A total of 208 thyroid nodules surgically treated in the General Surgery Department of Central Hospital of Chaoyang, Liaoning Province from June 2014 to August 2015 were selected as the research object. According to the postoperative pathological results, the patients were divided into benign group (143 cases) and malignant group (65 cases). All patients underwent color Doppler ultrasound examination, color Doppler ultrasound examination results of two groups of patients, and ultrasound image characteristics and blood flow were compared. Results The results of color Doppler ultrasound were accurately diagnosed in 186 cases, of which 132 cases were benign and 54 cases were malignant, the coincidence rate was 89.4% (186/208). Most of the benign lesions were mixed echoes with regular echoes and clear edges with envelope Even sound halo halo, and occasionally internal calcification, malignant nodules are mostly hypoechoic, and the edge is not clear, and more non-enveloped, irregular shape, there is uneven wide and loud halo, and more lymphadenopathy, internal multi-calcification, After statistical analysis, there was significant difference in ultrasound characteristics between the two groups (all P <0.05). There was significant difference between the two groups in the degree of blood flow classification and the results of blood flow typing (P < 0.05). Conclusion Color Doppler ultrasound as a noninvasive means of examination can clearly show the characteristics of thyroid nodules, the identification of benign and malignant thyroid nodules with high accuracy, for the clinical diagnosis and treatment of thyroid nodules is of great significance.