CORRELATION BETWEEN ELASTOGRAPHIC PARAMETERS AND HISTOPATHOLOGICAL RESULTS IN THYROID LESIONS: A LITERATURE REVIEW

• DOI: https://doi.org/10.22533/at.ed.1594962429104

• Palavras-chave: Elastography, thyroid lesions, clinical management, histopathological results.

• Keywords: Elastography, thyroid lesions, clinical management, histopathological results.

• Abstract:

  Introduction: Thyroid lesions represent a significant diagnostic challenge in clinical practice, requiring advanced techniques to differentiate between benign and malignant conditions. Elastography has emerged as a promising technique, allowing the assessment of tissue stiffness, which correlates with the nature of the lesions. Aim: To understand the relationship between elastographic parameters and histopathological results in thyroid lesions, with a view to improving the diagnosis and clinical management of these conditions. Methodology: A literature review was carried out, covering articles published between 2020 and 2024, obtained from databases such as PubMed, Scopus and Web of Science using the Publish or Perish software. Studies investigating the correlation between elastographic parameters and histopathological results in thyroid lesions were selected. Results and Discussion: Of the 15,700 articles initially identified, 13 were included in the review after applying the selection criteria. Analysis of the studies revealed a positive correlation between tissue stiffness measured by elastography and the histological nature of thyroid lesions. In addition, it was observed that specific elastographic parameters, such as the elasticity ratio, showed greater accuracy in differentiating between benign and malignant lesions. Conclusion: Elastography has emerged as a valuable tool in the diagnosis of thyroid lesions, offering complementary information to conventional imaging methods. The correlation between elastographic parameters and histopathological results stands out as a fundamental aspect in the interpretation of elastographic findings and in clinical decision-making. The integration of these data can improve diagnostic accuracy and optimize the management of patients with thyroid lesions, highlighting the continued importance of research in this area to improve diagnostic and therapeutic practices.