Research progress of ultrasound based in diagnosis follicular thyroid carcinoma / 国际生物医学工程杂志

ABSTRACT

Follicular thyroid carcinoma(FTC) is a differentiated thyroid carcinoma originated from thyroid follicular cells. The sensitivity and specificity of ultrasound classification and scoring systems in diagnosis of follicular carcinoma are insufficient. Ultrasound guided fine needle aspiration(US-FNA) can screen but cannot diagnose FTC. Core needle biology(CNB) can reduce repeated FNA and unnecessary operations, and improve the diagnostic accuracy of FN patients, but CNB still has many controversies. Ultrasound guided FNA combined with gene detection (such as RAS) can significantly improve the diagnostic accuracy of follicular neoplasm. In recent years, artificial intelligence assisted diagnosis has shown high specificity in distinguishing FTC from follicular thyroid adenoma (FTA), which is conducive to the standardized treatment of thyroid follicular neoplasm. In this paper, the research progress of ultrasound based in diagnosis of FTC was reviewed.