Comparison of the diagnostic effectiveness of ultrasound imaging coupled with three mathematical models for discriminating thyroid nodules
文献类型: 外文期刊
作者: Li, Lu 1 ; Deng, Hongyan 1 ; Chen, Wenqin 1 ; Wu, Liuxi 1 ; Li, Yong 3 ; Wang, Jie 2 ; Ye, Xinhua 1 ;
作者机构: 1.Nanjing Med Univ, Affiliated Hosp 1, Dept Ultrasound, Nanjing 210029, Peoples R China
2.Nanjing Med Univ, Affiliated Hosp 1, Dept Radiol, Nanjing, Peoples R China
3.Jiangsu Acad Agr Sci, Inst Food Safety & Nutr, Nanjing, Peoples R China
关键词: Ultrasound; thyroid nodule; mathematical model; logistic regression; partial least squares discriminant analysis; support vector machine
期刊名称:ACTA RADIOLOGICA ( 2022影响因子:1.3; 五年影响因子:1.5 )
ISSN: 0284-1851
年卷期: 2024 年 65 卷 5 期
收录情况: SCI
摘要: Background: The overlapping nature of thyroid lesions visualized on ultrasound (US) images could result in misdiagnosis and missed diagnoses in clinical practice. Purpose: To compare the diagnostic effectiveness of US coupled with three mathematical models, namely logistic regression (Logistics), partial least-squares discriminant analysis (PLS-DA), and support vector machine (SVM), in discriminating between malignant and benign thyroid nodules. Material and Methods: A total of 588 thyroid nodules (287 benign and 301 malignant) were collected, among which 80% were utilized for constructing the mathematical models and the remaining 20% were used for internal validation. In addition, an external validation cohort comprising 160 nodules (80 benign and 80 malignant) was employed to validate the accuracy of these mathematical models. Results: Our study demonstrated that all three models exhibited effective predictive capabilities for distinguishing between benign and malignant nodules, whose diagnostic effectiveness surpassed that of the TI-RADS classification, particularly in terms of true negative diagnoses. SVM achieved a higher diagnostic rate for malignant thyroid nodules (93.8%) compared to Logistics (91.5%) and PLS-DA (91.6%). PLS-DA exhibited higher diagnostic rates for benign thyroid nodules (91.9%) compared to Logistics (86.7%) and SVM (88.7%). Both the area under the receiver operating characteristic curve (AUC) values of PLS-DA (0.917) and SVM (0.913) were higher than that of Logistics (0.891). Conclusion: Our findings indicate that SVM had significantly higher rates of true positive diagnoses and PLS-DA exhibited significantly higher rates of true negative diagnoses. All three models outperformed the TI-RADS classification in discriminating between malignant and benign thyroid nodules.
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