Study on the comparison of diagnostic of K‐TIRADS ,ACR‐TIRADS and ATA in CAD and diagnosis of thyroid nodules by computer‐assisted ultrasonography / 中华超声影像学杂志

ABSTRACT

Objective To explore the diagnostic efficiency of K‐T IRADS ,ACR‐T IRADS and AT A risk stratification in computer‐aided detection and diagnosis ( CAD ) software and the application value of CAD‐assisted ultrasound physicians in diagnosing thyroid nodules . Methods One hundred and ninety‐two thyroid nodules with postoperative pathological results were retrospectively analyzed . All of them were graded by K‐T IRADS ,ACR‐T IRADS and A T A with CAD software ,and the best guide was recognized by calculating the area under the ROC curve ,sensitivity and specificity . T hen ,based on the best guidelines for the classification criteria , the double‐blind method was used to compare the ability of the same ultrasonologist to diagnose thyroid nodules before and after CAD . Results T he AUC value of K‐T IRADS , ACR‐T IRADS ,A T A was 0 .88 ,0 .77 ,0 .62 respectively in the CAD software . T he difference between the two groups was statistically significant ( P ＜0 .05 ) . T here was no significant difference in the specificity between K‐T IRADS and A T A ( P ＝0 .176 ) ,w hich were both higher than ACR‐T IRADS with statistically significant differences ( P ＜ 0 .05 ) . T he AUC value of the diagnosis among CAD itself , ultrasound physicians and physicians combined CAD was 0 .88 ,0 .80 ,0 .93 ,respectively . T he difference between the two groups was statistically significant ( P ＜0 .05) . T here was no significant difference in the sensitivity between CAD itself and physicians combined CAD ( P ＝0 .163 ) ,w hich were both higher than ultrasound physicians with statistical significant differences( P ＜0 .05) . Among ultrasound physicians ,CAD itself and physicians combined CAD ,the difference in specificity between the two groups was statistically significant ( P ＜0 .05) . Conclusions All the three risk stratification systems of thyroid ultrasound in CAD software have good diagnostic values ,among w hich K‐T IRADS has the largest AUC . T he CAD software can assist ultrasound physicians to improve the thyroid nodule diagnostic performance , and has a good clinical application prospect .