Value of artificial intelligence computer-aided system combined with contrast-enhanced ultrasound in the diagnosis of ACR TI-RADS 5 thyroid nodules

YANG Xiaoyun; WANG Dan; KANG Qi; TIAN Ye; ZHOU Qi

doi:10.16245/j.cnki.issn1008-6978.2021.03.025

您当前的位置：

首页 >

文章列表页 >

Value of artificial intelligence computer-aided system combined with contrast-enhanced ultrasound in the diagnosis of ACR TI-RADS 5 thyroid nodules

更新时间：2021-10-08

- Value of artificial intelligence computer-aided system combined with contrast-enhanced ultrasound in the diagnosis of ACR TI-RADS 5 thyroid nodules
- Journal of Clinical Ultrasound in Medicine Vol. 23, Issue 3, Pages: 226-228(2021)
- 作者机构：
  
  1. 陕西师范大学学府医院超声科
  2. 西安交通大学第二附属医院医用超声研究室
- 作者简介：
- 基金信息：
- DOI：10.16245/j.cnki.issn1008-6978.2021.03.025
  CLC： R581;R736.1;R445.1
- Published：2021，
扫描看全文
[1]杨晓云,王丹,康琦,田野,周琦.人工智能计算机辅助系统联合超声造影诊断TI-RADS 5类结节的价值[J].临床超声医学杂志,2021,23(03):226-228.

YANG Xiaoyun, WANG Dan, KANG Qi, et al. Value of artificial intelligence computer-aided system combined with contrast-enhanced ultrasound in the diagnosis of ACR TI-RADS 5 thyroid nodules. [J]. Journal of Clinical Ultrasound in Medicine 23(3):226-228(2021)
[1]杨晓云,王丹,康琦,田野,周琦.人工智能计算机辅助系统联合超声造影诊断TI-RADS 5类结节的价值[J].临床超声医学杂志,2021,23(03):226-228. DOI： 10.16245/j.cnki.issn1008-6978.2021.03.025.

YANG Xiaoyun, WANG Dan, KANG Qi, et al. Value of artificial intelligence computer-aided system combined with contrast-enhanced ultrasound in the diagnosis of ACR TI-RADS 5 thyroid nodules. [J]. Journal of Clinical Ultrasound in Medicine 23(3):226-228(2021) DOI： 10.16245/j.cnki.issn1008-6978.2021.03.025.

摘要

目的比较人工智能计算机辅助系统（AI-CAD）、超声造影及其联合对甲状腺影像报告和数据系统（TI-RADS）5类结节的诊断价值。方法选取经病理证实的TI-RADS 5类结节患者93例（141个结节）

均行AI-CAD和超声造影检查

比较AI-CAD、超声造影及其联合应用对TI-RADS 5类结节的诊断效能。结果 141个甲状腺结节中

超声造影检出恶性结节100个

良性结节41个

其诊断甲状腺恶性结节的敏感性89.7%、特异性59.2%、准确率78.0%;AI-CAD检出恶性结节76个

良性结节65个

其诊断甲状腺恶性结节的敏感性78.2%、特异性85.2%、准确率80.9%;两种方法联合应用检出恶性结节102个

良性结节39个

其诊断甲状腺恶性结节的敏感性94.3%、特异性63.0%、准确率82.3%。两种方法联合应用的诊断敏感性和准确率均高于其单独应用（均P<0.05）。结论 AI-CAD联合超声造影对TI-RADS 5类结节有较好的鉴别诊断价值。

Abstract

Objective To compare the diagnostic value of artificial intelligence computer-aided diagnosis（AI-CAD） system

contrast-enhanced ultrasound（CEUS） and their combination in the thyroid nodules with the category 5 of American college of radiology thyroid imaging reporting and data system（ACR TI-RADS 5）.Methods A total of 141 thyroid nodules scored as ACR TI-RADS 5 from 93 patients who were underwent the AI-CAD and CEUS examination were selected.All nodules were confirmed by histopathological results

the diagnostic efficacy of AI-CAD

CEUS and their combination were evaluated.Results Of the 141 thyroid nodules

there were 100 malignant and 41 benign nodules diagnosed by the CEUS

and the malignant-nodules diagnostic sensitivity

specificity and accuracy were 89.7%

59.2% and 78.0%

respectively.There were 76 malignant and 65 benign nodules diagnosed by the AI-CAD

and the malignant-nodules diagnostic sensitivity

specificity and accuracy were 78.2%

85.2% and 80.9%

respectively.And there were 102 malignant and 39 benign nodules diagnosed by the combination of CEUS with AI-CAD

and the malignant-nodules diagnostic sensitivity

specificity and accuracy were 94.3%

63.0% and 82.3%

respectively.The results showed that the sensitivity and accuracy of the AI-CAD combined with the CEUS were higher than those of single method（both P<0.05）.Conclusion AI-CAD combined with CEUS has high value in the differential diagnosis of TI-RADS 5 nodules in clinic.

关键词

超声检查造影剂人工智能甲状腺结节良恶性

Keywords

UltrasonographyContrast agentArtificial intelligenceThyroid nodulebenign and malignant

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Thyroid ultrasonic standard section recognition by artificial intelligence based on key anatomical structure detection

Application of contrast-enhanced ultrasound liver imaging reporting and data system in high-risk patients with alpha-fetoprotein- negative hepatocellular carcinoma

Related Author

柳舜兰

郭明辉

喻正纲

吕国荣

柳培忠

苏淇琛

何韶铮

郑丽丽

Related Institution

福建医科大学附属第二医院超声医学科

华侨大学医学院

泉州医学高等专科学校

华侨大学工学院

江苏省无锡市新吴区新瑞医院上海交通大学医学院附属瑞金医院无锡分院超声科

⁰