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Diffusion and perfusion weighted magnetic resonance imaging for tumor volume definition in radiotherapy of brain tumors

Overview of attention for article published in Radiation Oncology, September 2016
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2 X users

Citations

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28 Dimensions

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64 Mendeley
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Title
Diffusion and perfusion weighted magnetic resonance imaging for tumor volume definition in radiotherapy of brain tumors
Published in
Radiation Oncology, September 2016
DOI 10.1186/s13014-016-0702-y
Pubmed ID
Authors

Lu Guo, Gang Wang, Yuanming Feng, Tonggang Yu, Yu Guo, Xu Bai, Zhaoxiang Ye

Abstract

Accurate target volume delineation is crucial for the radiotherapy of tumors. Diffusion and perfusion magnetic resonance imaging (MRI) can provide functional information about brain tumors, and they are able to detect tumor volume and physiological changes beyond the lesions shown on conventional MRI. This review examines recent studies that utilized diffusion and perfusion MRI for tumor volume definition in radiotherapy of brain tumors, and it presents the opportunities and challenges in the integration of multimodal functional MRI into clinical practice. The results indicate that specialized and robust post-processing algorithms and tools are needed for the precise alignment of targets on the images, and comprehensive validations with more clinical data are important for the improvement of the correlation between histopathologic results and MRI parameter images.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 16%
Student > Ph. D. Student 7 11%
Student > Postgraduate 6 9%
Researcher 5 8%
Other 4 6%
Other 13 20%
Unknown 19 30%
Readers by discipline Count As %
Medicine and Dentistry 13 20%
Nursing and Health Professions 5 8%
Physics and Astronomy 4 6%
Biochemistry, Genetics and Molecular Biology 3 5%
Engineering 3 5%
Other 13 20%
Unknown 23 36%
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 23 September 2016.
All research outputs
#18,472,072
of 22,889,074 outputs
Outputs from Radiation Oncology
#1,416
of 2,060 outputs
Outputs of similar age
#243,470
of 320,659 outputs
Outputs of similar age from Radiation Oncology
#18
of 41 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,060 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 18th percentile – i.e., 18% 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 320,659 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.