曲阜师范大学学报（自然科学版）2026，Vol.52Issue(1)：73-78,6.DOI:10.3969/j.issn.1001-5337.202404.026
改进的C-TIRADS系统及其诊断价值
An improved version of C-TIRADS and its value in thyroid nodule diagnosis
摘要
Abstract
The thyroid imaging reporting and data system(TIRADS)is an evaluation system that standardizes and grades the malignancy of thyroid nodules based on thyroid ultrasound imaging and pro-vides clinical treatment references.It has been widely recognized and applied in clinical practice.This article optimizes the suspicious feature selection and feature scoring of the Chinese version of the thyroid imaging reporting and data system(C-TIRADS)based on classical machine learning algorithms,and proposes an improved version of C-TIRADS.The diagnostic value of the proposed TIRADS was studied using data from 982 pathologically confirmed thyroid nodules.The experimental results show that the proposed TIRADS performs better than C-TIRADS in the diagnosis of benign and malignant thyroid nodules.关键词
甲状腺结节/超声特征/自适应提升算法/良恶性分级Key words
thyroid nodule/ultrasound feature/adaptive boosting algorithm/benign and malignant clas-sification分类
信息技术与安全科学引用本文复制引用
陈仁栋,王潇倩,朱浩卓..改进的C-TIRADS系统及其诊断价值[J].曲阜师范大学学报（自然科学版）,2026,52(1):73-78,6.基金项目
国家自然科学基金(12001220). （12001220）
