The application value of S-Detect technology in the diagnosis of suspected thyroid nodules / 中华超声影像学杂志

ABSTRACT

Objective:To explore the clinical application value of S-Detect intelligent assistant diagnosis technology in the diagnosis of suspicious thyroid nodules.Methods:A total of 153 patients who were diagnosed as TI-RADS 3-4 according to the ACR TI-RADS standard by ultrasound examination in Henan Provincial Cancer Hospital from September 2019 to December 2019 were included in the study. Differential diagnosis of benign and malignant thyroid nodules were made by senior doctors, junior doctors and S-Dectect technology, respectively. Then using pathological results as the standard, receiver operating charateric curve(ROC) curves were plotted to compare the area under curve (AUC), sensitivity, specificity and accuracy of S-Detect, senior and junior doctor groups, as well as their combinations.Results:Of the 153 patients with thyroid nodules, 108 cases(108 nodules) were comfirmed benign and 45 cases(45 nodules) were malignant afeer operation. The diagnostic sensitivity, specificity and accuracy of S-Detect were 77.78%, 87.04%, 84.31%. They were higher than junior doctors(68.89%, 79.63%, 76.47%), but lower than senior doctors(84.44%, 94.44%, 91.50%). The diagnostic sensitivity, specificity and accuracy in junior doctors combined with S-Detect were significantly improved(77.78%, 85.18%, 83.01%). The area under curve of S-Detect diagnosis was higher in the group of junior doctors combined with S-Detect (0.815) than that in the group of junior doctors (0.743), and the difference was statistically significant (χ 2=8.332, P=0.004). There was no statistically significant difference (χ 2=0.095, P=0.756) in the AUC of diagnosis between the group of senior doctors combined with S-Detect(0.901) and senior doctors(0.894). Using pathological results as the "gold standard" , the highest consistency of diagnosis was found in the senior doctors combined with S-Detect(Kappa=0.797). Conclusions:S-Detect technology has a high accuracy in the differential diagnosis of thyroid nodules. With the aid of this technology, it can improve the specificity and accuracy of diagnosis for the junior doctors.