The value of S-Detect in improving the diagnostic performance of radiologists for the differential diagnosis of thyroid nodules

医学 甲状腺结节 放射科 诊断准确性 接收机工作特性 医学诊断 鉴别诊断 结核(地质) 超声波 预测值 甲状腺 病理 内科学 生物 古生物学
作者
Qi Wei,Shu-E Zeng,Liping Wang,Yichao Yan,Ting Wang,Jianwei Xu,Meng-Yi Zhang,Wenzhi Lv,Xin‐Wu Cui,Christoph F. Dietrich
出处
期刊:Medical ultrasonography [SRUMB - Romanian Society for Ultrasonography in Medicine and Biology]
卷期号:22 (4): 415-415 被引量:18
标识
DOI:10.11152/mu-2501
摘要

To compare the diagnostic value of S-Detect (a computer aided diagnosis system using deep learning) in differentiating thyroid nodules in radiologists with different experience and to assess if S-Detect can improve the diagnostic performance of radiologists.Between February 2018 and October 2019, 204 thyroid nodules in 181 patients were included. An experienced radiologist performed ultrasound for thyroid nodules and obtained the result of S-Detect. Four radiologists with different experience on thyroid ultrasound (Radiologist 1, 2, 3, 4 with 1, 4, 9, 20 years, respectively) analyzed the conventional ultrasound images of each thyroid nodule and made a diagnosis of "benign" or "malignant" based on the TI-RADS category. After referring to S-Detect results, they re-evaluated the diagnoses. The diagnostic performance of radiologists was analyzed before and after referring to the results of S-Detect.The accuracy, sensitivity, specificity, positive predictive value and negative predictive value of S-Detect were 77.0, 91.3, 65.2, 68.3 and 90.1%, respectively. In comparison with the less experienced radiologists (radiologist 1 and 2), S-Detect had a higher area under receiver operating characteristic curve (AUC), accuracy and specificity (p <0.05). In comparison with the most experienced radiologist, the diagnostic accuracy and AUC were lower (p<0.05). In the less experienced radiologists, the diagnostic accuracy, specificity and AUC were significantly improved when combined with S-Detect (p<0.05), but not for experienced radiologists (radiologist 3 and 4) (p>0.05).S-Detect may become an additional diagnostic method for the diagnosis of thyroid nodules and improve the diagnostic performance of less experienced radiologists.
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