Diagnostic value of contrast-enhanced ultrasound combined with other imaging techniques in differentiating benign and malignant thyroid nodules: a network meta-analysis - Report - MDSpire
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Evaluating the Diagnostic Efficacy of Contrast-Enhanced Ultrasound in Conjunction with Other Imaging Modalities for Distinguishing Benign from Malignant Thyroid Nodules: A Network Meta-Analysis

  • By

  • Qingying Xie

  • Zhuoshi Yang

  • Yue Sun

  • Na Zhao

  • Ruirui Hou

  • Zhiyue Di

  • Jian Ma

  • September 9, 2026

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Clinical Report: Evaluating the Diagnostic Efficacy of Contrast-Enhanced Ultrasound

Overview

This network meta-analysis evaluates the diagnostic performance of contrast-enhanced ultrasound (CEUS) combined with other imaging modalities for distinguishing benign from malignant thyroid nodules.

Background

Thyroid nodules are frequently detected, yet only a small percentage are malignant. Accurate differentiation between benign and malignant nodules is critical for appropriate management and treatment decisions. The integration of advanced imaging techniques, such as CEUS, aims to enhance diagnostic efficacy and reduce unnecessary interventions.

Data Highlights

TechniqueSuperiority Index (SI)Pooled Sensitivity (SE)Pooled Specificity (SP)
CEUS-UE3.47 (95%CI 0.2–7)0.92 (95%CI 0.88–0.95)0.83 (95%CI 0.75–0.89)
CEUS-AI3.81 (95%CI 0.33–9)0.95 (95%CI 0.91–0.98)0.81 (95%CI 0.68–0.91)
CEUS-US5.29 (95%CI 0.33–9)0.89 (95%CI 0.74–0.97)0.88 (95%CI 0.69–0.97)

Key Findings

  • CEUS-UE shows a pooled sensitivity of 0.92 and specificity of 0.83 for distinguishing TNs.
  • CEUS-AI has a pooled sensitivity of 0.95 and specificity of 0.81 for identifying high-risk TNs.
  • CEUS-US demonstrates a pooled sensitivity of 0.89 and specificity of 0.88 for non-risk-stratified TNs.
  • Twenty-six studies with 4484 patients and 5022 TNs were included in the analysis.
  • Validation of findings in larger, diverse cohorts is necessary.

Clinical Implications

Further validation in diverse populations is warranted.

Conclusion

Further validation in diverse populations is warranted.

Related Resources & Content

  1. Frontiers in Oncology, 2026 -- Diagnostic performance of multimodal ultrasound-based deep learning models in differentiating benign and malignant thyroid nodules
  2. Frontiers in Endocrinology, 2026 -- Contrast-enhanced ultrasound thyroid imaging reporting and data system outperforms K-TIRADS in diagnostic accuracy and reduces unnecessary fine-needle aspirations for thyroid nodules
  3. Frontiers in Oncology, 2026 -- Integration of BRAF V600E mutation with contrast-enhanced ultrasound parameters provides complementary diagnostic value for malignant thyroid nodules
  4. MDSpire News, 2026 -- Evaluating AI for thyroid nodule diagnosis
  5. EFSUMB Guidelines on Multiparametric Ultrasound Thyroid Nodule Evaluation: PART I - PubMed, 2026
  6. Diagnostic performance of contrast-enhanced ultrasound for thyroid nodule characterization: a systematic review and meta-analysis - PubMed, 2026
  7. EFSUMB Guidelines on Multiparametric Ultrasound Thyroid Nodule Evaluation: PART I - PubMed
  8. Diagnostic performance of contrast-enhanced ultrasound for thyroid nodule characterization: a systematic review and meta-analysis - PubMed

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