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The value of advanced MRI techniques in the assessment of cervical cancer: a review

Overview of attention for article published in Insights into Imaging, August 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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7 X users
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3 Facebook pages

Citations

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100 Dimensions

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127 Mendeley
Title
The value of advanced MRI techniques in the assessment of cervical cancer: a review
Published in
Insights into Imaging, August 2017
DOI 10.1007/s13244-017-0567-0
Pubmed ID
Authors

Evelyn Dappa, Tania Elger, Annette Hasenburg, Christoph Düber, Marco J. Battista, Andreas M. Hötker

Abstract

To assess the value of new magnetic resonance imaging (MRI) techniques in cervical cancer. We searched PubMed and MEDLINE and reviewed articles published from 1990 to 2016 to identify studies that used MRI techniques, such as diffusion weighted imaging (DWI), intravoxel incoherent motion (IVIM) and dynamic contrast enhancement (DCE) MRI, to assess parametric invasion, to detect lymph node metastases, tumour subtype and grading, and to detect and predict tumour recurrence. Seventy-nine studies were included. The additional use of DWI improved the accuracy and sensitivity of the evaluation of parametrial extension. Most studies reported improved detection of nodal metastases. Functional MRI techniques have the potential to assess tumour subtypes and tumour grade differentiation, and they showed additional value in detecting and predicting treatment response. Limitations included a lack of technical standardisation, which limits reproducibility. New advanced MRI techniques allow improved analysis of tumour biology and the tumour microenvironment. They can improve TNM staging and show promise for tumour classification and for assessing the risk of tumour recurrence. They may be helpful for developing optimised and personalised therapy for patients with cervical cancer. • Conventional MRI plays a key role in the evaluation of cervical cancer. • DWI improves tumour delineation and detection of nodal metastases in cervical cancer. • Advanced MRI techniques show promise regarding histological grading and subtype differentiation. • Tumour ADC is a potential biomarker for response to treatment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 127 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 13%
Student > Master 14 11%
Student > Ph. D. Student 12 9%
Student > Doctoral Student 10 8%
Researcher 10 8%
Other 23 18%
Unknown 42 33%
Readers by discipline Count As %
Medicine and Dentistry 48 38%
Nursing and Health Professions 10 8%
Physics and Astronomy 5 4%
Engineering 3 2%
Computer Science 2 2%
Other 10 8%
Unknown 49 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 June 2018.
All research outputs
#6,698,667
of 24,884,310 outputs
Outputs from Insights into Imaging
#396
of 1,143 outputs
Outputs of similar age
#97,970
of 322,824 outputs
Outputs of similar age from Insights into Imaging
#5
of 12 outputs
Altmetric has tracked 24,884,310 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,143 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 65% 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 322,824 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% 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 gotten more attention than average, scoring higher than 66% of its contemporaries.