Computer-Aided Diagnosis System for the Evaluation of Thyroid Nodules on Ultrasonography: Prospective Non-Inferiority Study according to the Experience Level of Radiologists
- Author:
Sae Rom CHUNG
1
;
Jung Hwan BAEK
;
Min Kyoung LEE
;
Yura AHN
;
Young Jun CHOI
;
Tae Yon SUNG
;
Dong Eun SONG
;
Tae Yong KIM
;
Jeong Hyun LEE
Author Information
- Publication Type:Original Article
- Keywords: Computer-aided diagnosis; Thyroid nodule; Thyroid cancer; Ultrasonography
- MeSH: Cohort Studies; Diagnosis; Humans; Prospective Studies; Sensitivity and Specificity; Thyroid Gland; Thyroid Neoplasms; Thyroid Nodule; Ultrasonography
- From:Korean Journal of Radiology 2020;21(3):369-376
- CountryRepublic of Korea
- Language:English
- Abstract: OBJECTIVE: To determine whether a computer-aided diagnosis (CAD) system for the evaluation of thyroid nodules is non-inferior to radiologists with different levels of experience.MATERIALS AND METHODS: Patients with thyroid nodules with a decisive diagnosis of benign or malignant nodule were consecutively enrolled from November 2017 to September 2018. Three radiologists with different levels of experience (1 month, 4 years, and 7 years) in thyroid ultrasound (US) reviewed the thyroid US with and without using the CAD system. Statistical analyses included non-inferiority testing of the diagnostic accuracy for malignant thyroid nodules between the CAD system and the three radiologists with a non-inferiority margin of 10%, comparison of the diagnostic performance, and the added value of the CAD system to the radiologists.RESULTS: Altogether, 197 patients were included in the study cohort. The diagnostic accuracy of the CAD system (88.48%, 95% confidence interval [CI] = 82.65–92.53) was non-inferior to that of the radiologists with less experience (1 month and 4 year) of thyroid US (83.03%, 95% CI = 76.52–88.02; p < 0.001), whereas it was inferior to that of the experienced radiologist (7 years) (95.76%, 95% CI = 91.37–97.96; p = 0.138). The sensitivity and negative predictive value of the CAD system were significantly higher than those of the less-experienced radiologists were, whereas no significant difference was found with those of the experienced radiologist. A combination of US and the CAD system significantly improved sensitivity and negative predictive value, although the specificity and positive predictive value deteriorated for the less-experienced radiologists.CONCLUSION: The CAD system may offer support for decision-making in the diagnosis of malignant thyroid nodules for operators who have less experience with thyroid US.
