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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Pan-Cytokeratin Staining Intensity and Fractal Computational Analysis of Breast Tumor Malignant Growth Patterns Prognosticate the Occurrence of Distant Metastasis
|
|---|---|
| Published in |
Frontiers in oncology, August 2018
|
| DOI | 10.3389/fonc.2018.00348 |
| Pubmed ID | |
| Authors |
Nemanja Rajković, Xingyu Li, Konstantinos N. Plataniotis, Ksenija Kanjer, Marko Radulovic, Nebojša T. Milošević |
| Abstract |
Improved prognosis of breast cancer outcome could prolong patient survival by reliable identification of patients at high risk of metastasis occurrence which could benefit from more aggressive treatments. Based on such clinical need, we prognostically evaluated the malignant cells in breast tumors, as the obvious potential source of unexploited prognostic information. The patient group was homogeneous, without any systemic treatments or lymph node spread, with smaller tumor size (pT1/2) and a long follow-up. Epithelial cells were labeled with AE1/AE3 pan-cytokeratin antibody cocktail and comprehensively analyzed. Monofractal and multifractal analyses were applied for quantification of distribution, shape, complexity and texture of malignant cell clusters, while mean pixel intensity and total area were measures of the pan-cytokeratin immunostaining intensity. The results surprisingly indicate that simple binary images and monofractal analysis provided better prognostic information then grayscale images and multifractal analysis. The key findings were that shapes and distribution of malignant cell clusters (by binary fractal dimension; AUC = 0.29), their contour shapes (by outline fractal dimension; AUC = 0.31) and intensity of the pan-cytokeratin immunostaining (by mean pixel intensity; AUC = 0.30) offered significant performance in metastasis risk prognostication. The results reveal an association between the lower pan-cytokeratin staining intensity and the high metastasis risk. Another interesting result was that multivariate analysis could confirm the prognostic independence only for fractal but not for immunostaining intensity features. The obtained results reveal several novel and unexpected findings highlighting the independent prognostic efficacy of malignant cell cluster distribution and contour shapes in breast tumors. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Student > Bachelor | 7 | 19% |
| Student > Doctoral Student | 3 | 8% |
| Student > Master | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 9 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 28% |
| Biochemistry, Genetics and Molecular Biology | 6 | 17% |
| Engineering | 3 | 8% |
| Agricultural and Biological Sciences | 2 | 6% |
| Computer Science | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 11 | 31% |
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 13 October 2023.
All research outputs
#20,713,113
of 26,312,176 outputs
Outputs from Frontiers in oncology
#9,720
of 22,970 outputs
Outputs of similar age
#257,069
of 348,526 outputs
Outputs of similar age from Frontiers in oncology
#111
of 178 outputs
Altmetric has tracked 26,312,176 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,970 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 348,526 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.