ArticleActa informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH2020
The Role of Shear Wave Elastography in the Discrimination Between Malignant and Benign Thyroid Nodules.
Article in Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- US-Elastography With Different Techniques for Thyroid Nodule Characterization: Systematic Review and Meta-analysis.Frontiers in oncology · 2022Pooled it
- Shear wave elastography for assessing kidneys in pediatric patients with primary nephrotic syndrome.Insights into imaging · 2025Article
- Analysis of influencing factors of shear wave elastography of the superficial tissue: A phantom study.Frontiers in medicine · 2022Article
- Exploring the Value of Radiomics Features Based on B-Mode and Contrast-Enhanced Ultrasound in Discriminating the Nature of Thyroid Nodules.Frontiers in oncology · 2021Article
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Authors and funding
5 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGrayscale ultrasound (US) is the most common imaging modality for the assessment of thyroid nodules.
objectiveThis research aimed to assess the value of using the elasticity index (EI), obtained using shear wave elastography (SWE), to discriminate between malignant and benign thyroid nodules. MATERIALS AND
methodsA total of 86 patients (94 distinct thyroid nodules) were operated on at Vietnam National Cancer Hospital from June 2018 to June 2019. Comparisons of the grayscale ultrasound (US) findings and the EI values between the benign and malignant groups were performed using the Chi-square test and Student's
resultsThe EI values of the benign and malignant groups were 37.6 ± 26.1 kPa and 105.4 ± 48.8 kPa, respectively. The area under the ROC curve (AUROC) value for discrimination between groups based on EI values was 0.889 when using an optimal cut-off point of 74.5 kPa, which resulted in a sensitivity of 74.3% and a specificity of 90%. Logistic multivariate regression analysis found that EI and microcalcification were significant factors for the discrimination between groups, with an odds ratio (OR): 1.487 [95% confidence interval (95% CI): 1.124-1.968, p = 0.005] and OR: 12.119 (95% CI: 2.031-72.323, p = 0.006), respectively. Combining grayscale US imaging with SWE can increase the specificity of the diagnosis but does not increase the accuracy.
conclusionSWE can be helpful for predicting the malignancy of thyroid nodules, although the accuracy of this method is only moderate.
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