Abstract

To analyze the effect of real-time shear wave elastography (SWE) optimized by mathematical algorithms combined with thyroglobulin antibodies (TGAb) on the clinical diagnosis of differentiated thyroid carcinoma (DTC), a hybrid displacement estimation algorithm based on weighted phase separation and two-dimensional cross correlation was proposed. 102 patients with DTC were divided into a test group (TGAb-positive) and a control group (TGAb-negative). Real-time SWE based on hybrid displacement estimation algorithm was performed. Receiver operating characteristic (ROC) curve was adopted to analyze the characteristics of real-time SWE and its combination with TGAb to detect the sensitivity, specificity, and area under the curve (AUC) of the malignant degree of thyroid cancer. The results showed that the preoperative thyroid-stimulating hormone (TSH), thyroglobulin autoantibodies (TGAb), and thyroid peroxidase antibody (TPOAb) of TGAb-positive patients were higher than those of the TGAb-negative group ( P < 0.05 ). The preoperative tumors of TGAb-positive patients were multifocal, and the tumor size was larger than that of the TGAb-negative patients ( P < 0.05 ). The maximum Young’s modulus Emax of TGAb-positive patients was greater than that of TGAb-negative group ( P < 0.05 ). In addition, there was a very significant positive correlation between the patient’s TGAb level and Emax of Young’s modulus ( P < 0.001 ). The sensitivity, specificity, and AUC of the joint detection of real-time SWE Emax and TGAb for the malignant degree of thyroid cancer were significantly greater than those of the single real-time SWE and TGAb, and the difference was substantial ( P < 0.05 ). In short, joint detection of real-time SWE based on hybrid displacement estimation algorithm combined with TGAb had high sensitivity, specificity, and AUC for the diagnosis of DTC, which was suitable for clinical application.

Highlights

  • Differentiated thyroid carcinoma (DTC) is one of the common endocrine malignancies

  • Original image, one-dimensional elastic algorithm processed image, two-dimensional elastic algorithm processed image, and two-dimensional cross-correlation hybrid algorithm processed image, respectively. e image quality of the shear wave elastography (SWE) image processed by the algorithm was improved, and the image improvement effect of the SWE image processed by the two-dimensional cross-correlation hybrid algorithm was the most obvious, followed by the two-dimensional elastic algorithm and the one-dimensional elastic algorithm

  • Joint detection of real-time SWE based on hybrid displacement estimation algorithm combined with thyroglobulin antibodies (TGAb) had high sensitivity, specificity, and area under the curve (AUC) for the diagnosis of DTC, which was suitable for clinical application

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Summary

Introduction

Differentiated thyroid carcinoma (DTC) is one of the common endocrine malignancies. In recent years, its incidence has shown an obvious upward trend [1, 2]. The progress of papillary thyroid carcinoma (PTC) is slow and the biological behavior tends to be benign, it can spread in the glands and metastasize to regional lymph nodes, leading to further lesions, so preoperative diagnosis is very important. At present, advanced and effective imaging techniques are used for inspection to improve the diagnosis rate of DTC [3]. Shear wave elastography (SWE), which is implemented based on conventional ultrasound examination, has gradually become the preferred method for thyroid disease. It can detect tiny nodules about 1 to 2 mm and clearly shows the gravel-like calcification in the tiny nodules and the changes in the nature of the Scientific Programming surrounding lymph nodes [4]. Due to the limitation of image clarity in conventional ultrasound images, the imaging effect of thyroid nodules is not good, which is not easy to distinguish from other normal tissues, resulting in missed diagnosis. erefore, improving the corresponding quality indicators of ultrasound images is of great significance for the early diagnosis of patients with thyroid cancer

Methods
Results
Conclusion

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