Current horizons of ultrasound in the investigation of thyroid nodules and cancer

Authors

DOI:

https://doi.org/10.33448/rsd-v11i12.34565

Keywords:

Ultrasound; Thyroid Nodule; Diagnostic imaging.

Abstract

Introduction: Thyroid nodules are lesions that may or may not be linked to diseases, with a benign or malignant course. Its detection has been expanded by new imaging methods developed. Ultrasound is the first complementary assessment tool because it is a non-invasive method and has a satisfactory sensitivity degree in most cases. It allows the characterization of predictive aspects of malignancy, contributing to the correct diagnostic investigation. Objective: to list the innovations and applicability of ultrasound differential diagnosis of thyroid nodules as described in the bibliography. Methodology: 10 articles were selected from the Virtual Health Library, published between 2017 and 2022, to compose this integrative literature review. Results and Discussion: Although the vast majority of thyroid nodules are of benign origin, the finding is cause for alarm for patients because the possibility of a neoplasm is easily raised. Fine needle aspiration puncture is the subsequent step in the investigation of thyroid nodules and allows the collection of material for cytopathological examination and recognition of the cell type that makes up the nodule. Multimodal ultrasound may represent a possibility in the study of nodules in which ambiguities occur in isolated modes. Conclusion: ultrasound is established as an indispensable device in the investigation of thyroid nodules. Its use is able to provide objective attributes in the need for invasive exams, reducing the inherent risks of unnecessary procedures. It is observed that ultrasound is able to bring data which can fortuitously identify lesions in pre-metastatic stages.

References

Chen, D. (2020). Diagnosis of thyroid nodules for ultrasonographic characteristics indicative of malignancy using random forest. BioData Min. https://doi.org/10.1186/s13040-020-00223-w

Chen, X. (2019). The diagnostic value of the ultrasound gray scale ratio for different sizes of thyroid nodules. Cancer Med. https://doi.org/10.1002/cam4.2653

Chu, C. (2021). Ultrasonic thyroid nodule detection method based on U-Net network. Comput Methods Programs Biomed. https://doi.org/10.1016/j.cmpb.2020.105906

Gondan, P. N. (2021). A Preliminary Study of Quantitative Ultrasound for Cancer-Risk Assessment of Thyroid Nodules. Front Endocrinol (Lausanne). https://doi.org/10.3389/fendo.2021.627698

Guang, Y. (2021). Clinical Study of Ultrasonographic Risk Factors for Central Lymph Node Metastasis of Papillary Thyroid Carcinoma. Front Endocrinol (Lausanne). https://doi.org/10.3389/fendo.2021.791970

Lei, R. (2021). Ultrasonic Characteristics of Medullary Thyroid Carcinoma: Differential From Papillary Thyroid Carcinoma and Benign Thyroid Nodule. Ultrasound Q, 37(4), 329-335.

Li, P. (2017). Ultrasonic diagnosis for thyroid Hürthle cell tumor. Cancer Biomark, 20(3), 235-240.

Liang, J. (2018). Predicting Malignancy in Thyroid Nodules: Radiomics Score Versus 2017 American College of Radiology Thyroid Imaging, Reporting and Data System. Thyroid, 28(8), 1024-1033.

Maia, A. L. (2007). Nódulos de tireóide e câncer diferenciado de tireóide: consenso brasileiro. Arq Bras Endocrinol Metab, 51(5). https://doi.org/10.1590/S0004-27302007000500027

Mendes, K. D. S. et al (2008). Revisão Integrativa: Método de pesquisa para a incorporação de evidência na saúde e na enfermagem. Texto Contexto Enferm, 17(4), 758-64.

Modi, L. (2020). Does a higher American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) score forecast an increased risk of malignancy? A correlation study of ACR TI-RADS with FNA cytology in the evaluation of thyroid nodules., Cancer Cytopathol 128(7), 470-481.

Pires, A. T. (2022). TI-RADS-ACR 2017: ensaio iconográfico. Radiol Bras, 55(01). https://doi.org/10.1590/0100-3984.2020.0141

Ren, J. (2019). Degenerating Thyroid Nodules: Ultrasound Diagnosis, Clinical Significance, and Management. Korean J Radiol, 2020(6), 947?955.

Rosário , P. W. (2013). Nódulo tireoidiano e câncer diferenciado de tireoide : atualização do consenso brasileiro. Arquivos brasileiros de endocrinologia & metabologia, 57(4), 240-264.

Rother, E. T. (2007). Revisão sistemática X revisão narrativa. Acta paulista de enfermagem, 20(2), 5-6.

Sampaio, R. F., & Mancini, M. C. (2007). Systematic review studies: a guide for careful synthesis of the scientific evidence. Brazilian Journal of Physical Therapy, 11(1), 83-89.

Souza, M. T. et al (2010). Revisão integrativa: o que é e como fazer. Einstein, 1(8). https://doi.org/10.1590/S1679-45082010RW1134

Tan, H. (2019). Thyroid imaging reporting and data system combined with Bethesda classification in qualitative thyroid nodule diagnosis. Medicine (Baltimore), 98(50).

Teixeira, F. M. et al (2013). Metodologias de pesquisa no ensino de ciências na América Latina. Ciência & Educação, 19(1), 15–33.

Wang, J. (2020). Multimode ultrasonic technique is recommended for the differential diagnosis of thyroid cancer. PeerJ. https://doi.org/10.7717/peerj.9112

Wang, L. (2018). Value of ultrasonography in the diagnosis of primary hepatic carcinoma and thyroid carcinoma. Onco Lett, 16(4), 5223-5229.

Yin, L. (2020). Relationship Between Morphologic Characteristics of Ultrasonic Calcification in Thyroid Nodules and Thyroid Carcinoma. Utrasound Med Biol, 46(1), 20-25.

Zheng, Y. (2020). Ultrasonic Classification of Multicategory Thyroid Nodules Based on Logistic Regression. Ultrasound Q, 36(2), 146-157.

Zhu, J. (2019). The application value of modified thyroid imaging report and data system in diagnosing medullary thyroid carcinoma. Cancer Med. https://doi.org/10.1002/cam4.2217

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Published

13/09/2022

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MENDES, L. F. da S. .; ARAÚJO NETO, A. J. de .; BEZERRA, C. de S. .; FREITAS NETO, A. P. de; MOREIRA, J. S. D. .; PIAUILINO, B. C. N. .; OLIVEIRA, I. R. L. .; SOUSA, L. L. de .; NUNES, T. C. R. .; LIMA, C. D. de S. .; BRITO, S. R. S. .; LEAL, A. K. M. P. .; ARAÚJO, M. E. da S. O. .; RIBEIRO, G. de V. P. . Current horizons of ultrasound in the investigation of thyroid nodules and cancer. Research, Society and Development, [S. l.], v. 11, n. 12, p. e251111234565, 2022. DOI: 10.33448/rsd-v11i12.34565. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/34565. Acesso em: 22 dec. 2024.

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Vol. 11 No. 12

Section

Health Sciences

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Copyright (c) 2022 Lucas Ferrari da Silva Mendes; André Joaquim de Araújo Neto; Camila de Sá Bezerra; Aluízio Pereira de Freitas Neto; Jefferson Segundo Dantas Moreira; Bárbara Cândida Nogueira Piauilino; Isadora Rênia Lucena Oliveira; Lourivan Leal de Sousa; Teresa Cristina Reinaldo Nunes; Carlos Daniel de Sousa Lima; Silana Rosa Soares Brito; Anne Kaline Marques Portela Leal; Maria Eduarda da Silva Oliveira Araújo; Gabriel de Vasconcelos Pessoa Ribeiro

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