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目的探讨甲状腺良恶性结节的VTI成像特点与其病理的相关性。方法分析118例共143个甲状腺结节的VTI图像和病理结果。根据图像灰度,把VTI图像分为6级,结合术后病理结果分析各结节的VTI分级。结果甲状腺良恶性结节之间的VTI分级差异有统计学意义(x~2=82.74,P<0.001);根据ROC曲线分析,曲线下面积为0.912,以VTI≥4级诊断恶性结节的灵敏度、特异度最高,分别为80.77%、95.38%。良恶性结节的纤维含量之间差异有统计学意义(t=7.267,P<0.001),恶性结节纤维含量高于良性结节。纤维含量与结节的VTI分级呈正相关(R=0.824,R~2=0.679)。结论 VTI分级可用于鉴别甲状腺结节的良恶性,且VTI分级与结节的纤维含量呈正相关。
Objective To investigate the correlation between VTI features and pathology in benign and malignant thyroid nodules. Methods A total of 143 cases of thyroid nodules were analyzed by VTI images and pathological findings. According to the image gray, the VTI images were divided into 6 levels, and VTI classification of each nodule was analyzed according to postoperative pathological results. Results The VTI grading between benign and malignant thyroid nodules had statistical significance (x ~ 2 = 82.74, P <0.001). According to the ROC curve analysis, the area under the curve was 0.912, and the sensitivity of malignant nodules , The highest specificity, respectively 80.77%, 95.38%. The difference between the fibrous contents of benign and malignant nodules was statistically significant (t = 7.267, P <0.001), and the content of malignant nodules was higher than that of benign nodules. Fiber content and nodular VTI grade was positively correlated (R = 0.824, R ~ 2 = 0.679). Conclusion The VTI classification can be used to identify the benign and malignant thyroid nodules, and the VTI classification is positively correlated with the fiber content of the nodules.