Details

Autor(en) / Beteiligte

• Gong, Zhong‐jing
• Xin, Jun
• Yin, Jun
• Wang, Bo
• Li, Xin
• Yang, Hui‐xian
• Zhu, Yan‐wen
• Shen, Junkang
• Gu, Jiying

Titel

Diagnostic Value of Artificial Intelligence‐Assistant Diagnostic System Combined With Contrast‐Enhanced Ultrasound in Thyroid TI‐RADS 4 Nodules

Ist Teil von

• Journal of ultrasound in medicine, 2023-07, Vol.42 (7), p.1527-1535

Ort / Verlag

Hoboken, USA: John Wiley & Sons, Inc

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Wiley Online Library - AutoHoldings Journals

Beschreibungen/Notizen

• Objectives This study evaluated the diagnostic value of artificial intelligence‐assistant diagnostic system combined with contrast‐enhanced ultrasound in The American College of Radiology Thyroid Imaging, Reporting and Data System (ACR TI‐RADS) 4 category thyroid nodules. Methods Thyroid nodules that were evaluated as ACR TI‐RADS 4 by conventional ultrasound were selected, all of which had pathological or fine needle aspiration (FNA) results. All nodules were examined by contrast‐enhanced ultrasound (CEUS) and artificial intelligence (AI) analysis. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of AI, CEUS and their combined diagnosis were compared; Analyzed and compared the diagnostic efficiency of AI, CEUS and their combined diagnosis. Results A total of 148 thyroid nodules were included in 140 patients, including 58 malignant nodules and 89 benign nodules. The sensitivity of combined diagnosis was significantly higher than that of AI or CEUS alone (P < .05). The NPV of AI, CEUS and combined diagnosis were statistically significant (P < .05). There was no significant difference in the diagnostic efficacy between AI and CEUS (P > .05), but there was a significant difference in NPV between AI and combined diagnosis (P < .05). The AUC of the combined diagnosis was 0.859, which was higher than that of AI, CEUS alone. Conclusions AI has a high diagnostic efficiency, which was helpful for radiologists to make rapid assessment. AI combined CEUS can significantly improve the diagnostic sensitivity and NPV, which was beneficial for the early detection of malignant nodules.