人工智能辅助系统在甲状腺良恶性结节中的应用价值

临床普外科电子杂志 ›› 2021, Vol. 9 ›› Issue (1): 12-.

人工智能辅助系统在甲状腺良恶性结节中的应用价值

1. 陕西师范大学学府医院超声科，陕西西安 710119； 2. 西安交通大学第二附属医院医用超声研究中心，陕西西安 710004； 3. 西北妇女儿童医院医学超声中心，陕西西安 710003

出版日期:2021-01-01 发布日期:2021-05-07
基金资助:
国家自然科学基金项目（81871366）

The application value of artificial intelligence computer aided system in benign and malignant thyroid nodules

1.Ultrasonography Department，Hospital of Shaanxi Normal University， Xi'an 710119，Shaanxi;
2.Department of Medical Ultrasound，the Second Affiliated Hospital，School of Medicine，Xi'an Jiaotong University， Xi'an 710004，Shaanxi; 3.Medical Ultrasound Center, Northwest Women and Children's Hospital, Xi'an 710003, Shaanxi

Online:2021-01-01 Published:2021-05-07

摘要/Abstract

摘要： 摘要：目的探讨人工智能辅助系统在甲状腺良恶性结节中的诊断价值。方法回顾性分析
2019 年6 月至2019 年12 月在西安交通大学第二附属医院接受人工智能分析系统判断并经病理证实的甲状腺结节患者473 例517 个结节，根据人工智能分析系统的判断标准分为三组，良性组（AI 分值0~0.40）、可疑组（AI 分值0.41~0.60）、恶性组（AI 分值0.61~1.00），用箱线图观察各组得分的分布情况，同时以病理结果为金标准，比较三组间的诊断准确率。结果人工智能辅助
系统诊断判断良性组、可疑组、恶性组甲状腺结节良恶性的诊断准确率分别为88.94%、69.75%、84.53%，组间差异具有显著性（P<0.001）。结论人工智能辅助系统对甲状腺结节的良恶性鉴别诊断具有较高价值，尤其对于良性结节的判断，有利于帮助初学者提高诊断信心。

关键词: 关键词：人工智能辅助系统, 甲状腺结节, 超声

Abstract: Abstract: Objective To explore the diagnostic value of artificial intelligence computer aided system (AI-CAD) in benign and malignant thyroid nodules. Methods To analyzed 473 patients with 517 thyroid nodule in Xi 'an Jiaotong University the second affiliated hospital from June 2019 to December 2019， all nodules were confirmed by pathology, based on AI-CAD, the judgment standard is divided into three groups, the AI score of benign group was 0~0.40, the AI score of suspicious group score was
0.41~0.60 and the AI score of malignant group was 0.61~1.00. The distribution of scores in each group was observed by boxplot, and the diagnostic accuracy was compared among the three groups with pathological results as the gold standard. Results The diagnostic accuracy rates of benign and malignant thyroid nodules were respectively 88.94%, 69.75% and 84.53%. There was significant difference between groups (P<0.001). Conclusion Artificial intelligence assisted system has high value for the differential diagnosis of benign and malignant thyroid nodules, especially for the determination of benign nodules, which is beneficial to help beginners to improve their confidence in diagnosis.

Key words: Key words: Artificial intelligence computer aided system, Thyroid nodule, Ultrasound

杨晓云, 田野, 张伟, 姜珏, 王娟, 周琦. 人工智能辅助系统在甲状腺良恶性结节中的应用价值[J]. 临床普外科电子杂志, 2021, 9(1): 12-.

YANG Xiaoyun, TIAN Ye, ZHANG Wei, JIANG Jue, WANG Juan, ZHOU Qi. The application value of artificial intelligence computer aided system in benign and malignant thyroid nodules[J]. Journal of General Surgery for Clinicians, 2021, 9(1): 12-.