Application of Thyroid Nodule Calcification in the Ultrasonic Diagnosis of Thyroid Cancer
Journal: Journal of Clinical Medicine Research DOI: 10.32629/jcmr.v7i2.5320
Abstract
Objective: To explore the application of thyroid nodule calcification in the ultrasonic diagnosis of thyroid cancer. Methods: A single-center study was conducted, enrolling 112 patients with thyroid nodules who were pathologically confirmed at our hospital from January 2022 to January 2026. Using pathological results as the reference standard, ultrasound-determined benign or malignant status and key ultrasound features (including margin clarity, blood flow signal, and calcification patterns) were recorded. A descriptive analysis of feature distribution was performed. Results: Ultrasound assessment classified 96 nodules as benign and 16 as malignant. Feature comparison revealed that benign nodules exhibited a higher proportion of well-defined margins, whereas malignant nodules more frequently presented with abundant blood flow signals. Conclusion: The implementation of ultrasound diagnosis for thyroid nodule calcification demonstrates significant clinical application value and is worthy of promotion.
Keywords
thyroid cancer; thyroid nodule calcification; ultrasonic diagnosis; pathological diagnosis
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[4] Zhou L, Chang L, Li J, et al. Aided diagnosis of thyroid nodules based on an all-optical diffraction neural network. Quant Imaging Med Surg. 2023;13(9):5713-5726.
[5] Tang JW, Mou JY, Chen J, et al. Discrimination of Benign and Malignant Thyroid Nodules through Comparative Analyses of Human Saliva Samples via Metabolomics and Deep-Learning-Guided Label-free SERS. ACS Appl Mater Interfaces. 2025;17(3):5538-5549.
[6] Liang Y, Li X, Wang F, et al. Detection of Thyroid Nodule Prevalence and Associated Risk Factors in Southwest China: A Study of 45,023 Individuals Undergoing Physical Examinations. Diabetes Metab Syndr Obes. 2023;16:1697-1707.
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[11] Li W, Gao L, Du Y, et al. Ultrasound microflow patterns help in distinguishing malignant from benign thyroid nodules. Cancer Imaging. 2024;24(1):18.
[12] Ye M, Wu S, Zhou Q, et al. Association between macrocalcification and papillary thyroid carcinoma and corresponding valuable diagnostic tool: retrospective study. World J Surg Oncol. 2023;21(1):149.
[13] Huang GL, Su JY, Liang RQ, Yang XY, Xu LF. The Impact of Echogenicity Grading on the Diagnostic Performance of C-TIRADS. Int J Gen Med. 2025;18:5509-5517.
Copyright © 2026 Yong He, Qiong Sun, Chang Zhou, Rong Liu
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