Comparative study on mathematical models of ultrasonic two-dimensional grayscale image identification of benign and malignant thyroid nodules
SUI Xin1 XIE Peng2 LIU Zongjie1 ZHAO Ying1 CHEN Simei1 ZHAO Bingxin1 LIU Jia1 ZHANG Yi3▲
1.Department of Ultrasound Medicine, the Third Hospital of Hebei Medical University, Hebei Province, Shijiazhuang 050051, China;
2.Department of Nuclear Medicine, the Third Hospital of Hebei Medical University, Hebei Province, Shijiazhuang 050051, China;
3.School of Sinences, Heibei University of Science and Technology, Hebei Province, Shijiazhuang 050018, China
Abstract：Objective To establish and compare various mathematical models of ultrasonic two-dimensional grayscale image of benign and malignant thyroid nodules. Methods A total of 504 patients diagnosed with thyroid nodule in the Third Hospital of Hebei Medical University from June 2015 to June 2021 were collected. A total of 546 thyroid nodule samples were cut for pathological examination, including 415 benign nodules and 131 malignant nodules. According to the gray value of two-dimensional ultrasonic image of thyroid nodule, the significant characteristics of differentiating benign and malignant thyroid nodules were found; a variety of classifiers were established by mathematical model, and the best mathematical classification model was found by comparing the accuracy and coverage of different classifiers. Results Using significant features of benign and malignant nodules build Fisher classification, regression classification, Bayesian classification, and Libsvm classification. Libsvm classification of benign and malignant thyroid nodules has the best accuracy and coverage, and the accuracy of benign thyroid nodules was 93.8%, coverage was 78.9%; and the accuracy of malignant thyroid nodules was 81.8%, coverage was 94.7%. Conclusion Libsvm classifier can quickly and accurately determine the benign and malignant thyroid nodules, and further promote the clinical diagnosis and treatment of thyroid nodules.
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