Author(s)

Lina Shang ¹

Affiliation(s)

¹ The Affiliated Hospital of Hebei University, Baoding, Hebei, China

Corresponding Author

Lina Shang

ABSTRACT

The Objective is to investigate the application value of grayscale contrast-enhanced ultrasonography in the diagnosis of thyroid nodules. Sixty patients with suspected thyroid nodules, admitted between January 2024 and January 2025, were randomized into two groups: the control group and the study group. The control group (n=30) underwent conventional ultrasonography, whereas the study group (n=30) received grayscale contrast-enhanced ultrasonography. With postoperative pathology or fine-needle aspiration biopsy as the gold standard, we compared the sensitivity, specificity, accuracy, and consistency of the two diagnostic modalities. The diagnostic performance of the study group in differentiating benign from malignant thyroid nodules was significantly superior to that of the control group. Grayscale contrast-enhanced ultrasonography demonstrated higher sensitivity, specificity, and accuracy compared with conventional ultrasonography. Kappa test results indicated that the agreement between grayscale contrast-enhanced ultrasonography and pathological diagnosis was significantly higher than that between conventional ultrasonography and pathological diagnosis (P<0.05). Grayscale contrast-enhanced ultrasonography significantly enhances the diagnostic accuracy of thyroid nodules, particularly exhibiting high sensitivity and specificity in distinguishing benign from malignant lesions. It offers more robust diagnostic evidence for clinical practice and holds substantial clinical application value.

KEYWORDS

Grayscale contrast-enhanced ultrasonography, thyroid nodules, diagnostic efficacy

CITE THIS PAPER

Lina Shang, Application of Grayscale Contrast-Enhanced Ultrasonography in the Diagnosis of Thyroid Nodules. MEDS Clinical Medicine (2025) Vol. 6: 31-34. DOI: http://dx.doi.org/10.23977/medsc.2025.060407.

REFERENCES

[1] Zhang Q. Study on ultrasound radiomics-assisted diagnosis, typing and lymph node metastasis prediction of thyroid cancer [D]. China Medical University, 2024.
[2] Tang JJ. Diagnostic value of artificial intelligence-based ultrasound radiomics model for differentiated thyroid carcinoma [D]. Peking Union Medical College, 2024.
[3] Ren JY. Application of ultrasound artificial intelligence in the differential diagnosis of benign and malignant thyroid nodules [D]. Huazhong University of Science and Technology, 2024.
[4] Gao RF. Application of contrast-enhanced ultrasound in the treatment of thyroid nodules by microwave ablation[J]. Health for Everyone, 2024, (03): 95.
[5] Huang L. Diagnostic value of contrast-enhanced ultrasound, grayscale mode ultra-micro flow imaging combined with ultrasound "MicroPure" for thyroid nodules[J]. Jiangxi Medical Journal, 2022, 57 (11): 1970-1972.

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