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The characteristic ultrasound features of specific types of ovarian pathology (Review)

Overview of attention for article published in International Journal of Oncology, November 2014
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
facebook
1 Facebook page
q&a
2 Q&A threads

Citations

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68 Dimensions

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184 Mendeley
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Title
The characteristic ultrasound features of specific types of ovarian pathology (Review)
Published in
International Journal of Oncology, November 2014
DOI 10.3892/ijo.2014.2764
Pubmed ID
Authors

Ahmad Sayasneh, Christine Ekechi, Laura Ferrara, Jeroen Kaijser, Catriona Stalder, Shyamaly Sur, Dirk Timmerman, Tom Bourne

Abstract

Characterizing ovarian masses enables patients with malignancy to be appropriately triaged for treatment by subspecialist gynecological oncologists, which has been shown to optimize care and improve survival. Furthermore, correctly classifying benign masses facilitates the selection of patients with ovarian pathology that may either not require intervention, or be suitable for minimal access surgery if intervention is required. However, predicting whether a mass is benign or malignant is not the only clinically relevant information that we need to know before deciding on appropriate treatment. Knowing the specific histology of a mass is becoming of increasing importance as management options become more tailored to the individual patient. For example predicting a mucinous borderline tumor gives the opportunity for fertility sparing surgery, and will highlight the need for further gastrointestinal assessment. For benign disease, predicting the presence of an endometrioma and possible deeply infiltrating endometriosis is important when considering both who should perform and the extent of surgery. An examiner's subjective assessment of the morphological and vascular features of a mass using ultrasonography has been shown to be highly effective for predicting whether a mass is benign or malignant. Many masses also have features that enable a reliable diagnosis of the specific pathology of a particular mass to be made. In this narrative review we aim to describe the typical morphological features seen on ultrasound of different adnexal masses and illustrate these by showing representative ultrasound images.

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 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Argentina 1 <1%
Unknown 182 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 11%
Other 19 10%
Student > Master 19 10%
Student > Postgraduate 14 8%
Student > Doctoral Student 13 7%
Other 35 19%
Unknown 63 34%
Readers by discipline Count As %
Medicine and Dentistry 88 48%
Nursing and Health Professions 12 7%
Engineering 3 2%
Biochemistry, Genetics and Molecular Biology 2 1%
Agricultural and Biological Sciences 2 1%
Other 8 4%
Unknown 69 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 14 July 2021.
All research outputs
#2,330,633
of 22,796,179 outputs
Outputs from International Journal of Oncology
#69
of 2,465 outputs
Outputs of similar age
#34,711
of 362,627 outputs
Outputs of similar age from International Journal of Oncology
#1
of 64 outputs
Altmetric has tracked 22,796,179 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 2,465 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 97% 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 362,627 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.