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

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 tha...

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Bibliographic Details
Published in:Journal of ultrasound in medicine 2023-07, Vol.42 (7), p.1527-1535
Main Authors: Gong, Zhong‐jing, Xin, Jun, Yin, Jun, Wang, Bo, Li, Xin, Yang, Hui‐xian, Zhu, Yan‐wen, Shen, Junkang, Gu, Jiying
Format: Article
Language:English
Subjects:
Artificial Intelligence
contrast‐enhanced ultrasound
Humans
Predictive Value of Tests
Retrospective Studies
Thyroid Nodule - diagnostic imaging
Thyroid Nodule - pathology
thyroid nodules
Ultrasonography - methods
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Summary: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 
ISSN:0278-4297
1550-9613
DOI:10.1002/jum.16170