MARATTO

review · The Egyptian Journal of Radiology and Nuclear Medicine

Shear wave elastography for predicting cervical lymph node metastasis in papillary thyroid carcinoma: a systematic review and meta-analysis

2026Open accessMansoura University

Abstract

Abstract Background Papillary thyroid carcinoma (PTC) is a common cancer, and cervical lymph node metastasis influences its prognosis. Ultrasound is standard, but detection of central lymph node metastasis (CLNM) is inconsistent, with sensitivity reported at 10.5–61%. Shear wave elastography (SWE) measures tissue stiffness and may highlight metastatic disease. Methods This systematic review and meta-analysis followed PRISMA 2020 guidelines. Web of Science, PubMed, and Scopus were searched for diagnostic studies assessing SWE-derived stiffness measures to predict CLNM in PTC. Data synthesis was performed in R. Pooled mean differences (MD) in stiffness between metastasis-positive and metastasis-negative groups were calculated using a random-effects model. Results Fifteen studies including approximately 6348 patients or nodules met inclusion criteria. SWE stiffness values were significantly higher in patients with LNM than in those without (MD 6.32; 95% CI 0.31–12.34; p = 0.0409), though heterogeneity was substantial ( I 2 = 93.9%). Pooled diagnostic accuracy showed sensitivity of 0.56 (95% CI 0.44–0.68) and specificity of 0.72 (95% CI 0.62–0.83). Conclusion Higher SWE-measured stiffness is associated with CLNM in PTC; however, its diagnostic performance is limited by low-to-moderate sensitivity, moderate specificity, marked heterogeneity, and the geographic concentration of the available evidence in East Asian cohorts. Therefore, SWE should complement rather than replace conventional ultrasound, and the findings should be interpreted cautiously until validated in more geographically diverse populations.

Research topics

  • Thyroid Cancer Diagnosis and Treatment
  • Thyroid and Parathyroid Surgery
  • Head and Neck Cancer Studies

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1186/s43055-026-01822-z

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.