Evaluation of the efficacy of C-TIRADS combined with artificial intelligence-assisted diagnosis in thyroid nodule differential diagnosis / 中华超声影像学杂志

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.