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Quantification of maceration changes using post mortem MRI in fetuses

Overview of attention for article published in BMC Medical Imaging, April 2016
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Title
Quantification of maceration changes using post mortem MRI in fetuses
Published in
BMC Medical Imaging, April 2016
DOI 10.1186/s12880-016-0137-9
Pubmed ID
Authors

P. Montaldo, S. Addison, V. Oliveira, P. J. Lally, A. M. Taylor, N. J. Sebire, S. Thayyil, O. J. Arthurs

Abstract

Post mortem imaging is playing an increasingly important role in perinatal autopsy, and correct interpretation of imaging changes is paramount. This is particularly important following intra-uterine fetal death, where there may be fetal maceration. The aim of this study was to investigate whether any changes seen on a whole body fetal post mortem magnetic resonance imaging (PMMR) correspond to maceration at conventional autopsy. We performed pre-autopsy PMMR in 75 fetuses using a 1.5 Tesla Siemens Avanto MR scanner (Erlangen, Germany). PMMR images were reported blinded to the clinical history and autopsy data using a numerical severity scale (0 = no maceration changes to 2 = severe maceration changes) for 6 different visceral organs (total 12). The degree of maceration at autopsy was categorized according to severity on a numerical scale (1 = no maceration to 4 = severe maceration). We also generated quantitative maps to measure the liver and lung T2. The mean PMMR maceration score correlated well with the autopsy maceration score (R (2) = 0.93). A PMMR score of ≥4.5 had a sensitivity of 91 %, specificity of 64 %, for detecting moderate or severe maceration at autopsy. Liver and lung T2 were increased in fetuses with maceration scores of 3-4 in comparison to those with 1-2 (liver p = 0.03, lung p = 0.02). There was a good correlation between PMMR maceration score and the extent of maceration seen at conventional autopsy. This score may be useful in interpretation of fetal PMMR.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Researcher 2 7%
Lecturer 2 7%
Student > Postgraduate 2 7%
Professor > Associate Professor 2 7%
Other 6 20%
Unknown 11 37%
Readers by discipline Count As %
Medicine and Dentistry 12 40%
Neuroscience 2 7%
Arts and Humanities 1 3%
Social Sciences 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 7%
Unknown 11 37%
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 24 October 2016.
All research outputs
#17,810,867
of 22,880,230 outputs
Outputs from BMC Medical Imaging
#334
of 600 outputs
Outputs of similar age
#204,972
of 299,038 outputs
Outputs of similar age from BMC Medical Imaging
#4
of 9 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 600 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.