摘要: |
【摘要】目的:探讨计算机辅助诊断(CAD)联合超声弹性成像技术在鉴别甲状腺良恶性结节的应用价值。方法:选取2019年6月—2020年12月经手术或穿刺活检病理证实的甲状腺结节患者148例(共182个结节),术前均由高年资超声医师判读,弹性成像分级,CAD系统基于ACR-TIRADS及K-TIRADS指南分析图像及三者联合诊断对甲状腺结节进行分类,以病理结果为金标准,评价其各自的诊断效能。结果:计算机辅助诊断系统,弹性成像技术和超声医师三者联合诊断的诊断效能最高,其灵敏度,特异度,准确度及AUC最高,与弹性成像联合CAD相比,与单一检查方法相比,差异均有统计学意义(P<0.05)。与高年资超声医师相比,无统计学差异。结论:计算机辅助诊断系统,弹性成像技术和超声医师判读三者联合运用在甲状腺结节良恶性的鉴别诊断中诊断效能可媲美高年资超声医师,诊断效能高于两者联合,高于运用单一检查方法。 |
关键词: 计算机辅助诊断系统 超声弹性成像 ACR-TIRADS K-TIRADS 甲状腺结节 |
DOI: |
投稿时间:2021-04-19修订日期:2021-11-29 |
基金项目:应急总医院医学发展科研基金(K201917) |
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The diagnostic value of computer-aided diagnosis combined with ultrasound elastography in thyroid nodules. |
XuJinmei,Liu Meng,Wang Xinyi |
(Emergency General Hospital) |
Abstract: |
【Abstract】 Objective: To explore the application value of computer-aided diagnosis system (CAD) combined with ultrasound elastography in differentiating benign and malignant thyroid nodules. Methods: a total of 148 patients (182 nodules) with thyroid nodules confirmed by surgery or biopsy from June 2019 to December 2020 were selected. All the patients were judged by senior ultrasound doctors before operation, graded by elastography, and classified by CAD system based on acr-tirads and k-tirads guidelines The diagnostic efficiency of the system was evaluated. Results: the diagnostic efficiency of computer-aided diagnosis system, elastography and ultrasound doctor was the highest, with the highest sensitivity, specificity, accuracy and AUC. Compared with elastography combined with CAD and single examination method, the differences were statistically significant (P < 0.05). There was no significant difference between the two groups. Conclusion: the combined application of computer-aided diagnosis system, elastic imaging technology and ultrasonic doctor's interpretation in the differential diagnosis of benign and malignant thyroid nodules is comparable to that of senior ultrasonic doctors, and the diagnostic efficiency is higher than that of the combination of the two methods, and higher than that of single examination method. |
Key words: Computer-aided detection and diagnosis system Ultrasound elastography ACR-TIRADS K-TIRADS Thyroid nodules |