ABSTRACT
Objective:To explore the diagnostic value of C-TIRADS combined with artificial intelligence-assisted diagnosis S-Detect technology in the differential diagnosis of thyroid nodules.Methods:A total of 237 thyroid nodules patients (237 thyroid nodules)with ultrasound examination and definitive pathologic results in Henan Cancer Hospital from April to September 2020 were retrospectively analyzed. The nodules were diagnosed according to C-TIRADS guidelines, and then by S-Detect technology combined with C-TIRADS guidelines. The ROC curve was plotted with the pathological results as the gold standard, and the area under the ROC curve, sensitivity, specificity and accuracy of the diagnosis results between the two groups were compared.Results:Among the 237 thyroid nodules, 105 were benign and 132 were malignant.The area under the ROC curve of C-TIRADS diagnosis alone and C-TIRADS diagnosis combined with artificial intelligence were 0.869 and 0.942 respectively, the difference between the two groups was statistically significant (χ 2=36.11, P<0.001); When Category 4A was used as the cutoff value of benign and malignant differential diagnosis, the specificity and accuracy of C-TIRADS classification of artificial intelligence-assisted diagnosis was significantly higher than that of C-TIRADS alone, and the difference was statistically significant(83.81% vs 47.62%, 90.72% vs 75.53%, all P<0.05). Conclusions:C-TIRADS combined with artificial intelligence-assisted diagnosis S-Detect technology has a high efficiency in the diagnosis of thyroid nodules and can improve the specificity and accuracy of thyroid nodules diagnosis and reduce unnecessary biopsy.
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.