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Diffusion-weighted MR neurography for the assessment of brachial plexopathy in oncological practice

Overview of attention for article published in Cancer Imaging, May 2015
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Title
Diffusion-weighted MR neurography for the assessment of brachial plexopathy in oncological practice
Published in
Cancer Imaging, May 2015
DOI 10.1186/s40644-015-0041-5
Pubmed ID
Authors

Adrian Andreou, Aslam Sohaib, David J Collins, Taro Takahara, Thomas C Kwee, Martin O Leach, David A MacVicar, Dow-Mu Koh

Abstract

To evaluate diffusion-weighted MR neurography (DW-MRN) for visualizing the brachial plexus and for the assessment of brachial plexopathy. 40 oncological patients with symptoms of brachial plexopathy underwent 1.5 T MRI using conventional MR sequences and unidirectional DW-MRN. The images were independently reviewed by two radiologists. Anatomic visualization of the brachial plexus was scored using a 5 point scale on conventional MR sequences and then combined with DW-MRN. A brachial plexus abnormality was also scored using a 5 point scale and inter-observer agreement determined by kappa statistics. Diagnostic accuracy for brachial plexopathy assessed by conventional MRI alone versus conventional MRI combined with DW-MRN was compared by ROC analysis using reference standards. DW-MRN significantly improved visualization of the brachial plexus compared with conventional MRI alone (P < 0.001). When assessing brachial plexopathy, inter-observer agreement was moderate for conventional MRI (kappa = 0.48) but good for conventional MRI with DW-MRN (kappa = 0.62). DW-MRN combined with conventional MRI significantly improved diagnostic accuracy in one observer (P < 0.05) but was similar in the other observer. DW-MRN improved visualization of the brachial plexus. Combining DW-MRN with conventional MRI can improve inter-observer agreement and detection of brachial plexopathy in symptomatic oncological patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Master 5 15%
Student > Ph. D. Student 5 15%
Student > Doctoral Student 4 12%
Student > Postgraduate 3 9%
Other 5 15%
Unknown 4 12%
Readers by discipline Count As %
Medicine and Dentistry 19 56%
Neuroscience 3 9%
Physics and Astronomy 3 9%
Agricultural and Biological Sciences 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Other 2 6%
Unknown 5 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 February 2016.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Cancer Imaging
#604
of 674 outputs
Outputs of similar age
#239,348
of 278,961 outputs
Outputs of similar age from Cancer Imaging
#5
of 6 outputs
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