[1]崔楠,陈雨凡,柏通,等.甲状腺结节AI超声辅助诊断系统在住院医师规范化培训教学中的应用[J].中国医学物理学杂志,2023,40(10):1233-1236.[doi:DOI:10.3969/j.issn.1005-202X.2023.10.007]
　CUI Nan,CHEN Yufan,BAI Tong,et al.Application of ACR TI-RADS-based computer-aided diagnosis system for thyroid nodules in the teaching practice of standardized training for resident doctors[J].Chinese Journal of Medical Physics,2023,40(10):1233-1236.[doi:DOI:10.3969/j.issn.1005-202X.2023.10.007]
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甲状腺结节AI超声辅助诊断系统在住院医师规范化培训教学中的应用()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
40卷
期数:
2023年第10期
页码:
1233-1236
栏目:
医学影像物理
出版日期:
2023-10-27

文章信息/Info

Title:
Application of ACR TI-RADS-based computer-aided diagnosis system for thyroid nodules in the teaching practice of standardized training for resident doctors
文章编号:
1005-202X（2023）10-1233-04
作者:
崔楠1; 陈雨凡2; 柏通1; 马力1; 刘红梅1
1.广东省第二人民医院超声科（广东省第二人民医院肌骨运动医学超声研究所）， 广东 广州 510317； 2.南方医科大学第二临床医学院， 广东 广州 510317
Author(s):
CUI Nan1;  CHEN Yufan2;  BAI Tong1;  MA Li1;  LIU Hongmei1
1. Department of Ultrasound/Institute of Ultrasound in Musculoskeletal Sports Medicine, Guangdong Second Provincial General Hospital, Guangzhou 510317, China 2. The Second Clinical Medical College, Southern Medical University, Guangzhou 510317, China
关键词:
人工智能; 甲状腺结节; 超声医学; 住院医师规范化培训; 教学
Keywords:
Keywords: artificial intelligence thyroid nodule ultrasonic medicine standardized training for resident doctor teaching
分类号:
R318；R-4
DOI:
DOI:10.3969/j.issn.1005-202X.2023.10.007
文献标志码:
A
摘要:
目的：探讨甲状腺结节AI超声辅助诊断系统在住院医师规范化培训教学中的应用效果。方法：选取2019年1月至2019年12月在广东省第二人民医院行甲状腺手术及超声检查的108名患者，共155个甲状腺结节，由两位2年级超声专业住院医师采用2017年美国放射学会发布的甲状腺影像报告与数据系统甲状腺结节超声指南（ACR TI-RADS）评估甲状腺结节；之后两位住院医师联合基于ACR TI-RADS超声特征的AI超声辅助诊断系统的预测结果再次评估上述结节。诊断标准以甲状腺结节手术病理结果作为金标准。结果：通过AI超声辅助诊断系统后，两位住院医师诊断甲状腺结节的AUC均有所提高。另外，两位住院医师联合AI超声辅助诊断系统在识别甲状腺结节的点状强回声方面的能力均得到提高，其中一位医师在识别甲状腺结构、回声、形状、分叶或不规则方面也有所提高。结论：与传统教学模式相比，应用甲状腺结节的AI超声辅助诊断系统可以帮助住院医师在较短的时间内提高掌握ACR TI-RADS指南的熟悉度，提高对结节超声特征的识别能力，缩短培训周期，起到辅助临床教学培训的作用。
Abstract:
Abstract: Objective To explore the role of ACR TI-RADS-based computer-aided diagnosis system (MTIRADS) for thyroid nodules in the teaching practice of standardized resident training. Methods A total of 155 thyroid nodules which underwent thyroid surgery and ultrasonic examination from January to December 2019 were evaluated by two residents using 2017 American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS). Then, the two residents referred to the prediction results of MTIRADS based on the ultrasonic features of ACR TI-RADS and revaluated the above nodules. The surgical and pathological findings of thyroid nodules were taken as the golden standard. Results After using MTIRADS for thyroid nodule diagnosis, the two residents achieved a higher AUC. In addition, the ability of the two residents to recognize the dotted high-echoes in thyroid nodules was improved after referring to MTIRADS results, and one of the residents improved the accuracy in identifying thyroid structure, echo, shape, lobulation or irregularity. Conclusion Compared with the traditional teaching mode, MTIRADS can help residents to increase their familiarity with ACR TI-RADS, improve their ability to recognize the ultrasonic features of nodules, shorten training cycle. MTIRADS could become an effective way in assisting clinical teaching and training.

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备注/Memo

备注/Memo:
【收稿日期】2023-05-16 【基金项目】广东省医学科研基金（A2023043） 【作者简介】崔楠，副主任医师，研究方向：超声诊断学，E-mail: 1257430379@qq.com 【通信作者】刘红梅，主任医师，研究方向：AI超声技术，E-mail: hongmeiliu3@163.com
更新日期/Last Update: 2023-10-27