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Updated: Sep 25, 2026
A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
Diagnostic value of contrast-enhanced ultrasound combined with other imaging techniques in differentiating benign and
Qingying Xie1, Zhuoshi Yang1, Yue Sun1
1Department of First Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China.
Background:
This network meta-analysis (NMA) intends to fully assess the value of contrast-enhanced ultrasound (CEUS) combined with other imaging techniques in the diagnosis of thyroid nodules (TNs), and provide clinical guidance.
Methods:
We systematically searched PubMed, Web of Science, Embase, and Cochrane up to October 15, 2025, and assessed study quality by the QUADAS-2 tool. The combination of CEUS and CEUS with other techniques was assessed for accuracy by R4.5.1 and ANOVA-based NMA.
Results:
Twenty-six original studies were included, encompassing 5022 TNs from 4484 patients. CEUS-ultrasound elastography (UE) demonstrated favorable diagnostic performance in differentiating benign and malignant TNs (superiority index [SI]: 3.47, 95%CI 0.2-7). The pooled sensitivity (SE) and specificity (SP) of CEUS-UE were 0.92 (95%CI 0.88-0.95, SUCRA 80.0%) and 0.83 (95%CI 0.75-0.89, SUCRA 60.7%), respectively. CEUS-artificial intelligence (AI) was generally effective in identifying high-risk TNs (SI: 3.81, 95%CI 0.33-9), with pooled SE and SP of 0.95 (95%CI 0.91-0.98, SUCRA 90.0%) and 0.81 (95%CI 0.68-0.91, SUCRA 49.6%), respectively. CEUS-conventional ultrasound (US) showed favorable diagnostic performance in identifying non-risk-stratified TNs (SI: 5.29, 95%CI 0.33-9), with pooled SE and SP of 0.89 (95% CI 0.74-0.97, SUCRA 61.4%) and 0.88 (95%CI 0.69-0.97, SUCRA 76.9%), respectively.
Conclusion:
CEUS-UE demonstrates favorable overall diagnostic performance in differentiating benign and malignant TNs. CEUS-AI may offer additional value in identifying high-risk TNs with multiple suspicious features. CEUS-US is effective in identifying non-risk-stratified TNs. However, these subgroup findings require further validation in larger, diverse external cohorts.
Systematic Review Registration:
https://www.crd.york.ac.uk/PROSPERO/myprospero, identifier CRD420251169562.
