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Tissue Microstructure Is Linked to MRI Parameters and Metabolite Levels in Prostate Cancer

Overview of attention for article published in Frontiers in oncology, June 2016
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Title
Tissue Microstructure Is Linked to MRI Parameters and Metabolite Levels in Prostate Cancer
Published in
Frontiers in oncology, June 2016
DOI 10.3389/fonc.2016.00146
Pubmed ID
Authors

Kirsten Margrete Selnæs, Riyas Vettukattil, Helena Bertilsson, Alan J. Wright, Arend Heerschap, Anders Angelsen, May-Britt Tessem, Tone Frost Bathen

Abstract

Magnetic resonance imaging (MRI) can portray spatial variations in tumor heterogeneity, architecture, and its microenvironment in a non-destructive way. The objective of this study was to assess the relationship between MRI parameters measured on patients in vivo, individual metabolites measured in prostatectomy tissue ex vivo, and quantitative histopathology. Fresh frozen tissue samples (n = 53 from 15 patients) were extracted from transversal prostate slices and linked to in vivo MR images, allowing spatially matching of ex vivo measured metabolites with in vivo MR parameters. Color-based segmentation of cryosections of each tissue sample was used to identify luminal space, stroma, and nuclei. Cancer samples have significantly lower area percentage of lumen and higher area percentage of nuclei than non-cancer samples (p ≤ 0.001). Apparent diffusion coefficient is significantly correlated with percentage area of lumen (ρ = 0.6, p < 0.001) and percentage area of nuclei (ρ = -0.35, p = 0.01). There is a positive correlation (ρ = 0.31, p = 0.053) between citrate and percentage area of lumen. Choline is negatively correlated with lumen (ρ = -0.38, p = 0.02) and positively correlated with percentage area of nuclei (ρ = 0.38, p = 0.02). Microstructures that are observed by histopathology are linked to MR characteristics and metabolite levels observed in prostate cancer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Ph. D. Student 6 19%
Other 3 10%
Student > Doctoral Student 2 6%
Professor > Associate Professor 2 6%
Other 3 10%
Unknown 9 29%
Readers by discipline Count As %
Medicine and Dentistry 8 26%
Engineering 4 13%
Agricultural and Biological Sciences 3 10%
Physics and Astronomy 2 6%
Chemistry 1 3%
Other 1 3%
Unknown 12 39%
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 14 June 2016.
All research outputs
#23,730,072
of 26,414,132 outputs
Outputs from Frontiers in oncology
#16,894
of 23,127 outputs
Outputs of similar age
#327,797
of 371,475 outputs
Outputs of similar age from Frontiers in oncology
#67
of 70 outputs
Altmetric has tracked 26,414,132 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,127 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.