Thyroid nodules: diagnosis and management.

Nat Rev Endocrinol

Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.

Published: December 2024

AI Article Synopsis

  • * Recent advancements in diagnostic methods, like TIRADS, help predict the risk of malignancy, potentially reducing the need for biopsies, though larger nodules still require cytological evaluation.
  • * Management strategies now include options like active surveillance and local treatments instead of solely relying on surgery, supported by shared decision-making tools for better clinician-patient communication.

Article Abstract

Thyroid nodules, with a prevalence of almost 25% in the general population, are a common occurrence. Their prevalence varies considerably depending on demographics such as age and sex as well as the presence of risk factors. This article provides a comprehensive overview of the prevalence, risk stratification and current management strategies for thyroid nodules, with a particular focus on changes in diagnostic and therapeutic protocols that have occurred over the past 10 years. Several sonography-based stratification systems (such as Thyroid Imaging Reporting and Data Systems (TIRADS)) might help to predict the malignancy risk of nodules, potentially eliminating the need for biopsy in many instances. However, large or suspicious nodules necessitate cytological evaluation following fine-needle aspiration biopsy for accurate classification. In the case of cytology yielding indeterminate results, additional tools, such as molecular testing, can assist in guiding the management plan. Surgery is no longer the only treatment for symptomatic or malignant nodules: active surveillance or local ablative treatments might be beneficial for appropriately selected patients. To enhance clinician-patient interactions and discussions about diagnostic options, shared decision-making tools have been developed. A personalized, risk-based protocol promotes high-quality care while minimizing costs and unnecessary testing.

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Source
http://dx.doi.org/10.1038/s41574-024-01025-4DOI Listing

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