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Ultrasonography of thyroid nodules: a pictorial review

Overview of attention for article published in Insights Into Imaging, November 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
8 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
140 Mendeley
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Title
Ultrasonography of thyroid nodules: a pictorial review
Published in
Insights Into Imaging, November 2015
DOI 10.1007/s13244-015-0446-5
Pubmed ID
Authors

Cheng Xie, Peter Cox, Nia Taylor, Sarah LaPorte

Abstract

Thyroid nodules are a common occurrence in the general population, and these incidental thyroid nodules are often referred for ultrasound (US) evaluation. US provides a safe and fast method of examination. It is sensitive for the detection of thyroid nodules, and suspicious features can be used to guide further investigation/management decisions. However, given the financial burden on the health service and unnecessary anxiety for patients, it is unrealistic to biopsy every thyroid nodule to confirm diagnosis. The British Thyroid Association (BTA) has recently produced a US classification (U1-U5) of thyroid nodules to facilitate the decision-making process regarding the need to perform fine-needle aspiration cytology (FNAC) for suspicious cases. In this pictorial review, we provide a complete series of sonographic images to illustrate benign and malignant features of thyroid nodules according to the U1-5 classification. Specifically, we highlight morphologic characteristic of the nodule, including its echo signal in relation to its consistency, nodular size, number and contour. Additional diagnostic features such as halo, colloid, calcification and vascular patterns are also discussed in detail. The aim is to assist radiologists and clinicians in recognising sonographic patterns of benign, suspicious and malignant nodules based on U1-5 criteria, and in planning for further investigations. • Ultrasound is sensitive in identifying suspicious features, which require aspiration. • Whether nodules require aspiration should be based on sonographic features and clinical findings. • U1-5 classification of sonographic findings can help determine whether aspiration is necessary.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
United Kingdom 1 <1%
Unknown 137 98%

Demographic breakdown

Readers by professional status Count As %
Other 20 14%
Student > Bachelor 18 13%
Student > Master 18 13%
Researcher 17 12%
Student > Postgraduate 15 11%
Other 35 25%
Unknown 17 12%
Readers by discipline Count As %
Medicine and Dentistry 81 58%
Engineering 11 8%
Nursing and Health Professions 9 6%
Unspecified 4 3%
Agricultural and Biological Sciences 3 2%
Other 8 6%
Unknown 24 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 July 2018.
All research outputs
#2,108,191
of 13,260,816 outputs
Outputs from Insights Into Imaging
#65
of 420 outputs
Outputs of similar age
#59,993
of 336,300 outputs
Outputs of similar age from Insights Into Imaging
#2
of 12 outputs
Altmetric has tracked 13,260,816 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 420 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 336,300 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.