| Title |
Radiomics of liver MRI predict metastases in mice
|
|---|---|
| Published in |
European Radiology Experimental, May 2018
|
| DOI | 10.1186/s41747-018-0044-7 |
| Pubmed ID | |
| Authors |
Anton S. Becker, Marcel A. Schneider, Moritz C. Wurnig, Matthias Wagner, Pierre A. Clavien, Andreas Boss |
| Abstract |
The purpose of this study was to investigate whether any texture features show a correlation with intrahepatic tumor growth before the metastasis is visible to the human eye. Eight male C57BL6 mice (age 8-10 weeks) were injected intraportally with syngeneic MC-38 colon cancer cells and two mice were injected with phosphate-buffered saline (sham controls). Small animal magnetic resonance imaging (MRI) at 4.7 T was performed at baseline and days 4, 8, 12, 16, and 20 after injection applying a T2-weighted spin-echo sequence. Texture analysis was performed on the images yielding 32 texture features derived from histogram, gray-level co-occurrence matrix, gray-level run-length matrix, and gray-level size-zone matrix. The features were examined with a linear regression model/Pearson correlation test and hierarchical cluster analysis. From each cluster, the feature with the lowest variance was selected. Tumors were visible on MRI after 20 days. Eighteen features from histogram and the gray-level-matrices exhibited statistically significant correlations before day 20 in the experiment group, but not in the control animals. Cluster analysis revealed three distinct clusters of independent features. The features with the lowest variance were Energy, Short Run Emphasis, and Gray Level Non-Uniformity. Texture features may quantitatively detect liver metastases before they become visually detectable by the radiologist. |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 14% |
| United States | 2 | 14% |
| Montenegro | 1 | 7% |
| Germany | 1 | 7% |
| Mexico | 1 | 7% |
| Italy | 1 | 7% |
| Austria | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 43% |
| Practitioners (doctors, other healthcare professionals) | 5 | 36% |
| Science communicators (journalists, bloggers, editors) | 2 | 14% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 21% |
| Student > Doctoral Student | 7 | 13% |
| Student > Postgraduate | 6 | 11% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Bachelor | 4 | 8% |
| Other | 8 | 15% |
| Unknown | 12 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 32% |
| Engineering | 6 | 11% |
| Computer Science | 3 | 6% |
| Physics and Astronomy | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 7 | 13% |
| Unknown | 17 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 19 December 2018.
All research outputs
#3,221,991
of 23,577,654 outputs
Outputs from European Radiology Experimental
#21
of 214 outputs
Outputs of similar age
#66,201
of 332,001 outputs
Outputs of similar age from European Radiology Experimental
#3
of 10 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 214 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 90% 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 332,001 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.