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Prognostic role for diffusion-weighted imaging of pediatric optic pathway glioma

Overview of attention for article published in Journal of Neuro-Oncology, May 2013
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Title
Prognostic role for diffusion-weighted imaging of pediatric optic pathway glioma
Published in
Journal of Neuro-Oncology, May 2013
DOI 10.1007/s11060-013-1140-4
Pubmed ID
Authors

K. W. Yeom, R. M. Lober, J. B. Andre, P. G. Fisher, P. D. Barnes, M. S. B. Edwards, S. Partap

Abstract

Optic pathway glioma (OPG) has an unpredictable course, with poor correlation between conventional imaging features and tumor progression. We investigated whether diffusion-weighted MRI (DWI) predicts the clinical behavior of these tumors. Twelve children with OPG (median age 2.7 years; range 0.4-6.2 years) were followed for a median 4.4 years with DWI. Progression-free survival (time to requiring therapy) was compared between tumors stratified by apparent diffusion coefficient (ADC) from initial pre-treatment scans. Tumors with baseline ADC greater than 1,400 × 10(-6) mm(2)/s required treatment earlier than those with lower ADC (log-rank p = 0.002). In some cases, ADC increased leading up to treatment, and declined following treatment with surgery, chemotherapy, or radiation. Baseline ADC was higher in tumors that eventually required treatment (1,562 ± 192 × 10(-6) mm(2)/s), compared with those conservatively managed (1,123 ± 114 × 10(-6) mm(2)/s) (Kruskal-Wallis test p = 0.013). Higher ADC predicted earlier tumor progression in this cohort and in some cases declined after therapy. Evaluation of OPG with DWI may therefore be useful for predicting tumor behavior and assessing treatment response.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
United States 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 15%
Other 4 12%
Student > Ph. D. Student 4 12%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Other 9 26%
Unknown 6 18%
Readers by discipline Count As %
Medicine and Dentistry 17 50%
Neuroscience 3 9%
Computer Science 2 6%
Agricultural and Biological Sciences 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 4 12%
Unknown 6 18%
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 May 2013.
All research outputs
#20,193,180
of 22,710,079 outputs
Outputs from Journal of Neuro-Oncology
#2,561
of 2,959 outputs
Outputs of similar age
#169,990
of 194,920 outputs
Outputs of similar age from Journal of Neuro-Oncology
#19
of 25 outputs
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We're also able to compare this research output to 25 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.