Application of AmCAD-UT Detection in ultrasonic diagnosis of thyroid nodules
10.13929/j.issn.1003-3289.2020.05.026
- VernacularTitle: AmCAD-UT Detection在甲状腺结节超声诊断中的应用
- Author:
Xin SUN
1
Author Information
1. Department of Ultrasound, the Third Xiangya Hospital of Central South University
- Publication Type:Journal Article
- Keywords:
Computer-aided diagnosis;
Thyroid nodule;
Ultrasonography
- From:
Chinese Journal of Medical Imaging Technology
2020;36(5):749-753
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To evaluate the diagnostic efficiency and clinical application value of computer-aided diagnosis (CAD) system AmCAD-UT Detection in thyroid ultrasound examination. Methods: Totally 171 patients with thyroid nodules requiring ultrasonic examination were collected. Ultrasonic thyroid images of all patients were obtained, then were analyzed with AmCAD-UT Detection only, 4 ultrasound physicians (A, B, C, D, having more than 10 years, 5 years, 1 year and 1 month experience, respectively) with or without AmCAD-UT Detection, respectively, and the nodules were classified according to the American College of Radiology Thyroid Imaging Reporting and Data System guidelines (ACR-TIRADS).Taken pathologic results as the gold standards, ROC curves of the classification of nodules of mCAD-UT Detection and 4 radiologists using the former or not were drawn according to ACR-TIRADS, and the optimal cut-off value for diagnosis of nodule malignancy with ACR-TIRADS guidelines and AUC were calculated, and their diagnostic efficacy were then analyzed. Results: A total of 205 thyroid nodules were involved, with 89 benign and 116 malignant lesions. TR5 was the optimal cut-off value for diagnosis of benign or malignant nodule with ACR-TIRADS. The diagnostic sensitivity of AmCAD-UT Detection to diagnose thyroid malignant nodule was similar to that of physician B (P=1.00), and the specificity was lower than that of physician A and B (both P<0.05), while its AUC was statistically different with physician A, B and D (Z=4.34, 3.71, 2.76, all P<0.05). With AmCAD-UT Detection, the sensitivity (93.10%, 90.52%, 85.34%, 75.00%) and AUC values (0.95, 0.93, 0.86, 0.86) of diagnosis of thyroid nodules of all physicians were improved (all P<0.05), while for the specificity, only physician C and D had better results (both P<0.05). Conclusion: Thyroid CAD system AmCAD-UT Detection has certain value for diagnosing thyroid nodules, with sensitivity similar to physician with 5 years ultrasound diagnostic experience, therefore can be used to improve diagnosis efficiency of thyroid nodule of physicians, especially for those with less experiences.
