Analysis of the Influence Factors on the Differential Diagnosis Between Benign and Malignant 4-Class Thyroid Nodules by the Ratio of the Elastic Strain Rate
Objective: This study aimed to investigate the value of elastic strain rate ratio (SR) in the differential diagnosis of benign and malignant thyroid imaging reporting and data system (TI-RADS) 4 nodules under the influence of various factors. Method: This study included
180 patients with type 4 unifocal thyroid nodules diagnosed by ultrasound examination in the Xiangyang No. 1 People's Hospital from March 2016 to March 2019. All patients underwent elasticity imaging and surgical operations. The pathological results were used as the gold standard to perform
logistic regression analyses and identify the factors influencing the differential diagnosis of benign and malignant thyroid nodules. Then, the receiver operating characteristic (ROC) curve was drawn. Results: The ROC curve suggested a cutoff value of 0.52 in differentiating between
benign and malignant TI-RADS 4 nodules using the SR value. The nodule size, calcification, border, and thyroid gland with diffuse lesions were factors influencing the differential diagnosis of benign and malignant TI-RADS 4 nodules with the SR value. SR had a high accuracy identifying benign
and malignant TI-RADS 4 nodules with a diameter of less than 0.8 cm (but >0.4 cm), no or granular calcification, nodules with blurred borders, and no thyroid gland with diffuse lesions. Conclusion: The diagnostic accuracy was improved by combining the two-dimensional ultrasound with
SR determination in the differential diagnosis of benign or malignant TI-RADS 4 nodules.
Keywords: BORDER; CALCIFICATION; DIFFUSE LESIONS; ELASTIC STRAIN RATE RATIO; NODULE SIZE; REPORTING AND DATA SYSTEM; THYROID IMAGING
Document Type: Research Article
Publication date: 01 March 2020
- Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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