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Are preoperative histology and MRI useful for classification of endometrial cancer risk?

Overview of attention for article published in BMC Cancer, July 2016
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  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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2 tweeters

Citations

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15 Dimensions

Readers on

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26 Mendeley
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Title
Are preoperative histology and MRI useful for classification of endometrial cancer risk?
Published in
BMC Cancer, July 2016
DOI 10.1186/s12885-016-2554-0
Pubmed ID
Authors

Noemie Body, Vincent Lavoué, Olivier De Kerdaniel, Fabrice Foucher, Sébastien Henno, Aurélie Cauchois, Bruno Laviolle, Marc Leblanc, Jean Levêque

Abstract

The 2010 guidelines of the French National Cancer Institute (INCa) classify patients with endometrial cancer into three risk groups for lymph node invasion and recurrence on the basis of MRI and histological analysis of an endometrial specimen obtained preoperatively. The classification guides therapeutic choices, which may include pelvic and/or para-aortic lymphadenectomy. The purpose of this study was to evaluate the diagnostic performance of preoperative assessment to help identify intermediate- or high-risk patients requiring lymphadenectomy. The study included all patients who underwent surgery for endometrial cancer between January 2010 and December 2013 at either Rennes University Hospital or Vannes Regional Hospital. The criteria for eligibility included a preoperative assessment with MRI and histological examination of an endometrial sample. A histological comparison was made between the preoperative and surgical specimens. Among the 91 patients who underwent a full preoperative assessment, the diagnosis of intermediate- or high-risk endometrial cancer was established by MRI and histology with a sensitivity of 70 %, specificity of 82 %, positive predictive value (PPV) of 87 %, negative predictive value (NPV) of 61 %, positive likelihood ratio (LR+) of 3.8 and negative likelihood ratio (LR-) of 0.3. The risk group was underestimated in 32 % of patients and overestimated in 7 % of patients. MRI underestimated endometrial cancer stage in 20 % of cases, while endometrial sampling underestimated the histological type in 4 % of cases and the grade in 9 % of cases. The preoperative assessment overestimated or underestimated the risk of recurrence in nearly 40 % of cases, with errors in lesion type, grade or stage. Erroneous preoperative risk assessment leads to suboptimal initial surgical management of patients with endometrial cancer.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 15%
Researcher 3 12%
Student > Master 3 12%
Other 2 8%
Student > Ph. D. Student 2 8%
Other 4 15%
Unknown 8 31%
Readers by discipline Count As %
Medicine and Dentistry 10 38%
Biochemistry, Genetics and Molecular Biology 3 12%
Agricultural and Biological Sciences 1 4%
Nursing and Health Professions 1 4%
Social Sciences 1 4%
Other 2 8%
Unknown 8 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 August 2016.
All research outputs
#4,106,908
of 8,192,854 outputs
Outputs from BMC Cancer
#1,306
of 3,461 outputs
Outputs of similar age
#130,125
of 258,643 outputs
Outputs of similar age from BMC Cancer
#68
of 243 outputs
Altmetric has tracked 8,192,854 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,461 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 56% 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 258,643 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 243 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.