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Mendeley readers
Attention Score in Context
| Title |
Diffusion-weighted and dynamic contrast-enhanced MRI of pancreatic adenocarcinoma xenografts: associations with tumor differentiation and collagen content
|
|---|---|
| Published in |
Journal of Translational Medicine, June 2016
|
| DOI | 10.1186/s12967-016-0920-y |
| Pubmed ID | |
| Authors |
Catherine S. Wegner, Jon-Vidar Gaustad, Lise Mari K. Andersen, Trude G. Simonsen, Einar K. Rofstad |
| Abstract |
The aggressiveness of pancreatic ductal adenocarcinoma (PDAC) is highly dependent on the level of differentiation and the composition of the stroma. In this preclinical study, we investigated the potential of diffusion-weighted magnetic resonance imaging (DW-MRI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as noninvasive methods for providing information on the differentiation and the stroma of PDACs. Xenografted tumors initiated from four PDAC cell lines (BxPC-3, Capan-2, MIAPaCa-2, and Panc-1) were included in the study. DW-MRI and DCE-MRI were carried out on a 7.05-T MR scanner, and tumor images of ADC (the apparent diffusion coefficient), K (trans) (the volume transfer constant of Gd-DOTA), and v e (the fractional distribution volume of Gd-DOTA) were produced. The level of differentiation and the amount and structure of collagen I and collagen IV were determined by examining histological preparations. Differentiated tumors showed lower levels of collagen I and collagen IV than non-differentiated tumors. Significant correlations were found between ADC and v e, and both parameters differentiated clearly between collagen-rich non-differentiated tumors and differentiated tumors containing less collagen. Differentiated PDAC xenografts show higher ADC values and higher v e values than their non-differentiated counterparts. This observation supports the application of parametric MR images as tumor biomarkers in PDAC. Patients showing low values of ADC and v e most likely have non-differentiated tumors with extensive stroma and, hence, poor prognosis. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Researcher | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Other | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 11 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 25% |
| Biochemistry, Genetics and Molecular Biology | 8 | 20% |
| Agricultural and Biological Sciences | 3 | 8% |
| Engineering | 3 | 8% |
| Physics and Astronomy | 2 | 5% |
| Other | 1 | 3% |
| Unknown | 13 | 33% |
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 07 June 2016.
All research outputs
#20,705,128
of 23,305,591 outputs
Outputs from Journal of Translational Medicine
#3,407
of 4,112 outputs
Outputs of similar age
#295,210
of 342,456 outputs
Outputs of similar age from Journal of Translational Medicine
#113
of 114 outputs
Altmetric has tracked 23,305,591 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 4,112 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 114 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.