Literature DB >> 17495296

US Features of thyroid malignancy: pearls and pitfalls.

Jenny K Hoang1, Wai Kit Lee, Michael Lee, Daryl Johnson, Stephen Farrell.   

Abstract

Thyroid nodules are common and occur in up to 50% of the adult population; however, less than 7% of thyroid nodules are malignant. High-resolution ultrasonography (US) is commonly used to evaluate the thyroid gland, but US is frequently misperceived as unhelpful for identifying features that distinguish benign from malignant nodules. Microcalcifications are one of the most specific US findings of a thyroid malignancy. Other useful US features include a marked hypoechogenicity, irregular margins, and the absence of a hypoechoic halo around the nodule. Lymphadenopathy and local invasion of adjacent structures are highly specific features of thyroid malignancy but are less commonly seen. The number, size, and interval growth of nodules are nonspecific characteristics. Suspicious US features may be useful for selecting patients for fine-needle aspiration biopsy when incidental nodules are discovered and when multiple nodules are present. Common interpretative pitfalls that may lead to failure to recognize a malignancy include mistaking cystic or calcified nodal metastases for nodules in a multinodular thyroid, mistaking diffusely infiltrative thyroid carcinomas and multifocal carcinomas for benign disease, and failing to recognize microcalcifications in papillary thyroid cancer. (c) RSNA, 2007.

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Year:  2007        PMID: 17495296     DOI: 10.1148/rg.273065038

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  95 in total

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Authors:  Ursula Nemec; Stefan F Nemec; Clemens Novotny; Michael Weber; Christian Czerny; Christian R Krestan
Journal:  Eur Radiol       Date:  2012-02-10       Impact factor: 5.315

2.  Quantitative analysis of suspicious thyroid nodules by contrast-enhanced ultrasonography.

Authors:  Yizhou Hu; Ping Li; Shufei Jiang; Fenghua Li
Journal:  Int J Clin Exp Med       Date:  2015-07-15

3.  Prevalence of Cancer in Patients with Thyroid Nodules in the Island of Cyprus: Predictive Value of Ultrasound Features and Thyroid Autoimmune Status.

Authors:  Irini S Hadjisavva; Roberto Dina; Michael A Talias; Panayiotis A Economides
Journal:  Eur Thyroid J       Date:  2015-05-30

4.  A useful ultrasound score to select thyroid nodules requiring fine needle aspiration in an iodine-deficient area.

Authors:  A Cavaliere; R Colella; E Puxeddu; G Gambelunghe; A Falorni; F Stracci; M d'Ajello; N Avenia; P De Feo
Journal:  J Endocrinol Invest       Date:  2009-04-15       Impact factor: 4.256

5.  Evaluation and development of a real-time predictive model for ultrasound investigation of malignant thyroid nodules.

Authors:  Po-Wen Cheng; Hsu-Wen Chou; Chi-Te Wang; Wu-Chia Lo; Li-Jen Liao
Journal:  Eur Arch Otorhinolaryngol       Date:  2013-07-12       Impact factor: 2.503

6.  The use of sonoelastographic elasticity index to differentiate benign and malignant thyroid nodules.

Authors:  Nurefsan Boyaci; Ekrem Karakas; Dilek Sen Dokumaci; Sezen Kocarslan; Sema Yildiz; Hasan Cece; Mehmet Ali Eren
Journal:  Jpn J Radiol       Date:  2013-09-20       Impact factor: 2.374

7.  Hepatic Lesions in a Cirrhotic Liver: Primary or Metastases?

Authors:  Lorenzo Mannelli; Serena Monti; Verena Grieco; Manuela Matesan
Journal:  J Nucl Med Technol       Date:  2017-02-02

8.  Ensuring patient safety when implementing a new diagnostic pathway for thyroid nodules.

Authors:  M Brimioulle; A Al-Lami; S Marzouk; H Emerson; A Balfour; V Dhar; I J Nixon
Journal:  Ann R Coll Surg Engl       Date:  2018-03-15       Impact factor: 1.891

9.  Thyroid gland metastasis from small cell lung cancer: an unusual site of metastatic spread.

Authors:  Stamatis Katsenos; Stavros Archondakis; Michalis Vaias; Nikolaos Skoulikaris
Journal:  J Thorac Dis       Date:  2013-04       Impact factor: 2.895

10.  Spectral CT imaging of intranodular hemorrhage in cases with challenging benign thyroid nodules.

Authors:  Ming Li; Xiangpeng Zheng; Feng Gao; Li Xiao; Yanqing Hua
Journal:  Radiol Med       Date:  2015-11-27       Impact factor: 3.469

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