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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sequential Apparent Diffusion Coefficient for Assessment of Tumor Progression in Patients with Low-Grade Glioma
|
|---|---|
| Published in |
American Journal of Neuroradiology, April 2018
|
| DOI | 10.3174/ajnr.a5639 |
| Pubmed ID | |
| Authors |
I.E. Chen, N. Swinburne, N.M. Tsankova, M.M. Hefti, A. Aggarwal, A.H. Doshi, A. Hormigo, B.N. Delman, K. Nael |
| Abstract |
Early and accurate identification of tumor progression in patients with low-grade gliomas is challenging. We aimed to assess the role of quantitative ADC analysis in the sequential follow-up of patients with low-grade gliomas as a potential imaging marker of tumor stability or progression. In this retrospective study, patients with a diagnosis of low-grade glioma with at least 12 months of imaging follow-up were retrospectively reviewed. Two neuroradiologists independently reviewed sequential MR imaging in each patient to determine tumor progression using the Response Assessment in Neuro-Oncology criteria. Normalized mean ADC (ADCmean) and 10th percentile ADC (ADC10) values from FLAIR hyperintense tumor volume were calculated for each MR image and compared between patients with stable disease versus tumor progression using univariate analysis. The interval change of ADC values between sequential scans was used to differentiate stable disease from progression using the Fisher exact test. Twenty-eight of 69 patients who were evaluated met our inclusion criteria. Fifteen patients were classified as stable versus 13 patients as having progression based on consensus reads of MRIs and the Response Assessment in Neuro-Oncology criteria. The interval change of ADC values showed greater concordance with ultimate lesion disposition than quantitative ADC values at a single time point. The interval change in ADC10 matched the expected pattern in 12/13 patients with tumor progression (overall diagnostic accuracy of 86%, P <.001). On average, the ADC10 interval change predicted progression 8 months before conventional MR imaging. The interval change of ADC10 values can be used to identify progression versus stability of low-grade gliomas with a diagnostic accuracy of 86% and before apparent radiologic progression on conventional MR imaging. |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 35% |
| United Kingdom | 1 | 5% |
| Saudi Arabia | 1 | 5% |
| Switzerland | 1 | 5% |
| Ecuador | 1 | 5% |
| Cyprus | 1 | 5% |
| Netherlands | 1 | 5% |
| Unknown | 7 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 55% |
| Scientists | 4 | 20% |
| Practitioners (doctors, other healthcare professionals) | 4 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Other | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Professor | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 4 | 17% |
| Unknown | 6 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 35% |
| Neuroscience | 5 | 22% |
| Physics and Astronomy | 2 | 9% |
| Design | 1 | 4% |
| Unknown | 7 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 20 June 2018.
All research outputs
#2,956,903
of 25,192,722 outputs
Outputs from American Journal of Neuroradiology
#607
of 5,218 outputs
Outputs of similar age
#57,818
of 333,395 outputs
Outputs of similar age from American Journal of Neuroradiology
#12
of 89 outputs
Altmetric has tracked 25,192,722 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,218 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done well, scoring higher than 88% 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 333,395 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 82% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.