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CT in ovarian cancer staging: how to review and report with emphasis on abdominal and pelvic disease for surgical planning

Overview of attention for article published in Cancer Imaging, August 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 674)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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1 news outlet
twitter
10 X users
facebook
1 Facebook page

Citations

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32 Dimensions

Readers on

mendeley
118 Mendeley
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Title
CT in ovarian cancer staging: how to review and report with emphasis on abdominal and pelvic disease for surgical planning
Published in
Cancer Imaging, August 2016
DOI 10.1186/s40644-016-0076-2
Pubmed ID
Authors

Anju Sahdev

Abstract

CT of the abdomen and pelvis is the first line imaging modality for staging, selecting treatment options and assessing disease response in ovarian cancer. The staging CT provides disease distribution, disease burden and is the imaging surrogate for surgico-pathological FIGO staging. Optimal cyto-reductive surgery offers patients' the best chance for disease control or cure, but sub-optimal resection confers no advantage over chemotherapy and adversely increases the risk of post surgical complications. Although there is extensive literature comparing performance of CT against laparoscopy and surgery, for the staging abdominal and pelvic CT, there are currently no accepted guidelines for interpretation or routinely used minimum data set templates for reporting these complex CT scans often with extensive radiological findings. This review provides a systematic approach for identifying the important radiological findings and highlighting important sites of disease within the abdomen and pelvis, which may alter or preclude surgery at presentation or after adjuvant chemotherapy. The distribution of sites and volume of disease can be used to categorize patients as suitable, probably suitable or not suitable for optimal cyto-reductive surgery. This categorization can potentially assist oncological surgeons and oncologists as a semi objective assessment tool useful for selecting patient treatment, streamlining multi disciplinary discussion and improving the reproducibility and correlation of CT with surgical findings. The review also highlights sites of disease and complications of ovarian cancer which should be included as part of the radiological report as these may require additional surgical input from non gynaecological surgeons or influence treatment selection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Tunisia 1 <1%
Unknown 117 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 13%
Student > Postgraduate 14 12%
Student > Master 14 12%
Other 12 10%
Researcher 12 10%
Other 22 19%
Unknown 29 25%
Readers by discipline Count As %
Medicine and Dentistry 53 45%
Nursing and Health Professions 7 6%
Biochemistry, Genetics and Molecular Biology 5 4%
Engineering 5 4%
Computer Science 3 3%
Other 9 8%
Unknown 36 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 31 January 2022.
All research outputs
#2,368,027
of 25,373,627 outputs
Outputs from Cancer Imaging
#13
of 674 outputs
Outputs of similar age
#42,830
of 381,642 outputs
Outputs of similar age from Cancer Imaging
#1
of 12 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 674 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 98% 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 381,642 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 88% 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 particularly well, scoring higher than 91% of its contemporaries.