Multivariate analysis of ultrasonic features of medullary thyroid carcinoma
10.13929/j.issn.1003-3289.2020.10.005
- VernacularTitle: 超声多因素分析预测甲状腺髓样癌
- Author:
Sheng CHEN
1
Author Information
1. Department of Ultrasound, Fujian Provincial Hospital
- Publication Type:Journal Article
- Keywords:
Diagnosis;
Thyroid cancer, medullary;
Ultrasonography
- From:
Chinese Journal of Medical Imaging Technology
2020;36(10):1461-1464
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To screen the independent ultrasonography predict factors of medullary thyroid carcinoma (MTC), and to analyze the diagnostic efficacy of these factors. Methods: Totally 24 MTC patients (29 lesions) and 45 benign thyroid nodules patients (49 lesions) confirmed by pathology were selected. The gender of patients, as well as the ultrasonic features such as the shape, multiple, bilateral, margin, internal echo, internal components, microcalcification, aspect ratio and blood flow of lesions were retrospectively analyzed. Univariate and multivariate Logistic regression analysis were used to screen the independent predictors of MTC, while odds ratio (OR) and 95% confidence interval (CI) were calculated. The receiver operating characteristic (ROC) curve was drawn, and the area under curve (AUC) of significant factors were calculated. Results: There was no significant relationship of multiple, bilateral lesion and aspect ratio>1 with MTC (all P>0.20), whereas rich blood flow, hypoechoic and internal microcalcification were independent risk factors of MTC (all P<0.05). According to AUC value, the diagnostic efficiency of hypoechoic, nodal blood flow, irregular shape, microcalcification and irregular margin were all moderate, among which the diagnostic efficiency of hypoechoic was the best (AUC=0.77, 95%CI[0.68, 0.89]). Conclusion: Ultrasonic signs of MTC had different diagnostic efficiencies. Rich blood flow, hypoechoic and internal microcalcification of thyroid nodules might be references for differential diagnosis of MTC.
