Investigation of thyroid nodules: A practical algorithm and review of guidelines
| Autor: | Reza Forghani, Colin S. Poon, Adam A Dmytriw, Eugene Yu, Jin Soo A. Song, Lorne Rotstein, David P. Goldstein |
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| Rok vydání: | 2018 |
| Předmět: |
Thyroid nodules
medicine.medical_specialty Biopsy Fine-Needle Malignancy 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Practical algorithm Humans Medicine Thyroid Neoplasms Thyroid Nodule Overdiagnosis Ultrasonography Subclinical infection business.industry Thyroid Calcinosis High resolution ultrasound Nodule (medicine) medicine.disease medicine.anatomical_structure Otorhinolaryngology 030220 oncology & carcinogenesis Practice Guidelines as Topic Biopsy Large-Core Needle Radiology medicine.symptom Tomography X-Ray Computed business Algorithms |
| Zdroj: | Head & Neck. |
| ISSN: | 1043-3074 |
| DOI: | 10.1002/hed.25160 |
| Popis: | Background High resolution ultrasound has led to early detection of subclinical tumors and drastic increase in incidence of thyroid malignancy. To achieve a balance in appropriate investigation without perpetuating an overdiagnosis phenomenon, a concise set of evidence-based recommendations to stratify risk is required. Methods We sought to assemble an evidence-based diagnostic algorithm and accompanying pictorial review for workup of thyroid nodules that summarizes the most recent guidelines. In addition, we conducted a literature search and analysis of our imaging databases. Results Although many imaging features of benign and malignant nodules can be nonspecific, others, such as microcalcifications, lymphadenopathy, and peripheral invasion, are highly suggestive of malignancy. The predictive values of salient imaging characteristics are presented. Conclusion Evidence-based guidelines are available such that a cost-effective algorithm for thyroid nodule workup can be devised. Conservative management with a focus on periodic monitoring is the working clinical consensus on the approach to thyroid nodules. |
| Databáze: | OpenAIRE |
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