↓ Skip to main content

Evaluation of the solitary pulmonary nodule: size matters, but do not ignore the power of morphology

Overview of attention for article published in Insights into Imaging, November 2017
Altmetric Badge

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 (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
wikipedia
7 Wikipedia pages
video
1 YouTube creator

Citations

dimensions_citation
139 Dimensions

Readers on

mendeley
136 Mendeley
Title
Evaluation of the solitary pulmonary nodule: size matters, but do not ignore the power of morphology
Published in
Insights into Imaging, November 2017
DOI 10.1007/s13244-017-0581-2
Pubmed ID
Authors

Annemie Snoeckx, Pieter Reyntiens, Damien Desbuquoit, Maarten J. Spinhoven, Paul E. Van Schil, Jan P. van Meerbeeck, Paul M. Parizel

Abstract

Subsequent to the widespread use of multidetector computed tomography and growing interest in lung cancer screening, small pulmonary nodules are more frequently detected. The differential diagnosis for a solitary pulmonary nodule is extremely broad and includes both benign and malignant causes. Recognition of early lung cancers is vital, since stage at diagnosis is crucial for prognosis. Estimation of the probability of malignancy is a challenging task, but crucial for follow-up and further work-up. In addition to the clinical setting and metabolic assessment, morphological assessment on thin-section computed tomography is essential. Size and growth are key factors in assessment of the malignant potential of a nodule. The likelihood of malignancy positively correlates with nodule diameter: as the diameter increases, so does the likelihood of malignancy. Although there is a considerable overlap in the features of benign and malignant nodules, the importance of morphology however should not be underestimated. Features that are associated with benignity include a perifissural location and triangular morphology, internal fat and benign calcifications. Malignancy is suspected in nodules presenting with spiculation, lobulation, pleural indentation, vascular convergence sign, associated cystic airspace, bubble-like lucencies, irregular air bronchogram, and subsolid morphology. Nodules often show different features and combination of findings is certainly more powerful. • Size of a pulmonary nodule is important, but morphological assessment should not be underestimated. • Lung nodules should be evaluated on thin section CT, in both lung and mediastinal window setting. • Features associated with benignity include a triangular morphology, internal fat and calcifications. • Spiculation, pleural retraction and notch sign are highly suggestive of a malignant nature. • Complex features (e.g. bubble-like lucencies) are highly indicative of a malignant nature.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 136 100%

Demographic breakdown

Readers by professional status Count As %
Other 14 10%
Researcher 14 10%
Student > Postgraduate 13 10%
Student > Master 12 9%
Professor > Associate Professor 11 8%
Other 26 19%
Unknown 46 34%
Readers by discipline Count As %
Medicine and Dentistry 67 49%
Engineering 3 2%
Nursing and Health Professions 3 2%
Agricultural and Biological Sciences 3 2%
Computer Science 2 1%
Other 7 5%
Unknown 51 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 13 August 2023.
All research outputs
#2,551,634
of 24,217,893 outputs
Outputs from Insights into Imaging
#133
of 1,072 outputs
Outputs of similar age
#48,587
of 329,085 outputs
Outputs of similar age from Insights into Imaging
#4
of 9 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 87% 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 329,085 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 85% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.