Abstract
Thyroid cancer has become the most common malignant tumor in the endocrine system, and its global incidence has been showing an upward trend. The diagnosis methods of thyroid cancer include ultrasound, fine-needle aspiration cytology, and neck CT, but the single ultrasound feature cannot simultaneously take into account the sensitivity and specificity of more than 85% when diagnosing thyroid cancer. The development of virtual technology can significantly improve the diagnosis of the thyroid gland. Based on this, this article proposes a clinical study of virtual reality technology combined with contrast-enhanced ultrasound in the assessment of thyroid cancer. This article uses a variety of methods, such as literature method, mathematical statistics, and experimental research, in-depth study of the theoretical cornerstones of virtual reality augmented technology, the application status of ultrasound contrast technology, and so on. And a fuzzy mean clustering algorithm was proposed to identify ultrasound images. Then, a clinical experiment of virtual reality augmented technology combined with contrast-enhanced ultrasound was designed to evaluate thyroid cancer, which included comparison of contrast-enhanced ultrasound signs, analysis of enhancement results, multifactor logistic analysis, and diagnostic efficacy analysis of ultrasound signs. The combined application of virtual reality augmented technology and contrast-enhanced ultrasound in the study of thyroid cancer has a sensitivity and specificity exceeding 85% as the diagnosis boundary changes, and the accuracy of the combined diagnosis is relatively high.
Highlights
Academic Editor: Zhihan Lv yroid cancer has become the most common malignant tumor in the endocrine system, and its global incidence has been showing an upward trend. e diagnosis methods of thyroid cancer include ultrasound, fine-needle aspiration cytology, and neck CT, but the single ultrasound feature cannot simultaneously take into account the sensitivity and specificity of more than 85% when diagnosing thyroid cancer. e development of virtual technology can significantly improve the diagnosis of the thyroid gland
This article proposes a clinical study of virtual reality technology combined with contrast-enhanced ultrasound in the assessment of thyroid cancer. is article uses a variety of methods, such as literature method, mathematical statistics, and experimental research, in-depth study of the theoretical cornerstones of virtual reality augmented technology, the application status of ultrasound contrast technology, and so on
Contrast-enhanced ultrasound harmonic imaging technology significantly improves the contrast between the contrasted area and adjacent tissues [1] and is called noninvasive microcirculation angiography [2]. is technology can provide early detection of tumor microcirculation perfusion characteristics to identify benign and malignant and small tumors or evaluate the tumor residue after interventional treatment, locate vascular stenosis, Journal of Healthcare Engineering occlusion, deformity, and traumatic bleeding caused by trauma, and understand the degree of bleeding for further treatment [3, 4]
Summary
Received 10 April 2021; Revised 23 June 2021; Accepted 28 June 2021; Published 6 August 2021. This article proposes a clinical study of virtual reality technology combined with contrast-enhanced ultrasound in the assessment of thyroid cancer. Virtual reality augmented technology can make up for the inevitable limitations of traditional ultrasound and compare the diagnostic criteria of thyroid nodules with the enhancement technology Combined, it can significantly improve the diagnosis of thyroid. The combination of contrast-enhanced ultrasound and virtual reality augmented technology, as a new differential diagnosis technology for thyroid cancer, provides a new diagnostic method and exerts its inherent advantages. Virtual reality augmented technology combined with contrast-enhanced ultrasound will further improve the accuracy of thyroid cancer diagnosis, and it is worthy of further research. E application of virtual reality augmented technology in the ultrasound diagnosis of thyroid cancer will greatly improve the diagnostic value, stability, and efficiency and has broad application prospects. The most classic is to use the neighboring pixels around each pixel as a constraint condition to join the FCM objective function: HFCM−s ςimn xn m 1 n 1
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