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Novel three-dimensional bone ‘mapping’ software can help assess progression of osseous metastases from routine CT

Overview of attention for article published in Radiation Oncology, August 2017
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Title
Novel three-dimensional bone ‘mapping’ software can help assess progression of osseous metastases from routine CT
Published in
Radiation Oncology, August 2017
DOI 10.1186/s13014-017-0880-2
Pubmed ID
Authors

D. Thurtle, G. M. Treece, T. Barrett, V. J. Gnanapragasam

Abstract

Imaging of bone metastasis response to therapy is a research priority. Stradwin is a new software-tool, with demonstrated sub-voxel accuracy in assessing cortical bone properties from routine CT. We applied this technology to the context of osseous metastases, with particular focus on disease progression using prostate cancer as a model. 3D-rendered 'bone-maps' were produced for 20 men with advanced prostate cancer, including a sub-cohort of 9 who had undergone serial scans. Correlation between baseline interpretation and assessments of progression between modalities was assessed. Bone-maps took significantly less time to interpret than CT bone windows (P < 0.001). Initial bone-mapping, without adjustment, demonstrated sensitivity and specificity for suspicious areas on CT of 70.7% and 73.1% respectively. Evaluating disease over time, concordance between bone-maps and current practice using RECIST outcomes was 100%.This study demonstrates the feasibility and potential use of this free post-processing software in the serial assessment of osseous metastases.

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The data shown below were collected from the profile of 1 X user 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 20%
Student > Master 2 13%
Lecturer > Senior Lecturer 1 7%
Lecturer 1 7%
Student > Ph. D. Student 1 7%
Other 3 20%
Unknown 4 27%
Readers by discipline Count As %
Medicine and Dentistry 3 20%
Veterinary Science and Veterinary Medicine 1 7%
Unspecified 1 7%
Business, Management and Accounting 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Other 2 13%
Unknown 6 40%
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 31 August 2017.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from Radiation Oncology
#1,693
of 2,071 outputs
Outputs of similar age
#275,674
of 315,743 outputs
Outputs of similar age from Radiation Oncology
#23
of 31 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,071 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 31 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.