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Current concepts in F18 FDG PET/CT-based radiation therapy planning for lung cancer

Overview of attention for article published in Frontiers in oncology, January 2012
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Title
Current concepts in F18 FDG PET/CT-based radiation therapy planning for lung cancer
Published in
Frontiers in oncology, January 2012
DOI 10.3389/fonc.2012.00071
Pubmed ID
Authors

Percy Lee, Patrick Kupelian, Johannes Czernin, Partha Ghosh

Abstract

Radiation therapy is an important component of cancer therapy for early stage as well as locally advanced lung cancer. The use of F18 FDG PET/CT has come to the forefront of lung cancer staging and overall treatment decision-making. FDG PET/CT parameters such as standard uptake value and metabolic tumor volume provide important prognostic and predictive information in lung cancer. Importantly, FDG PET/CT for radiation planning has added biological information in defining the gross tumor volume as well as involved nodal disease. For example, accurate target delineation between tumor and atelectasis is facilitated by utilizing PET and CT imaging. Furthermore, there has been meaningful progress in incorporating metabolic information from FDG PET/CT imaging in radiation treatment planning strategies such as radiation dose escalation based on standard uptake value thresholds as well as using respiratory-gated PET and CT planning for improved target delineation of moving targets. In addition, PET/CT-based follow-up after radiation therapy has provided the possibility of early detection of local as well as distant recurrences after treatment. More research is needed to incorporate other biomarkers such as proliferative and hypoxia biomarkers in PET as well as integrating metabolic information in adaptive, patient-centered, tailored radiation therapy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Brazil 1 2%
Unknown 63 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 18%
Student > Ph. D. Student 12 18%
Other 9 14%
Student > Doctoral Student 5 8%
Student > Bachelor 4 6%
Other 15 23%
Unknown 8 12%
Readers by discipline Count As %
Medicine and Dentistry 26 40%
Physics and Astronomy 7 11%
Engineering 6 9%
Computer Science 4 6%
Nursing and Health Professions 3 5%
Other 9 14%
Unknown 10 15%
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 17 July 2012.
All research outputs
#23,730,072
of 26,414,132 outputs
Outputs from Frontiers in oncology
#16,894
of 23,127 outputs
Outputs of similar age
#233,529
of 254,644 outputs
Outputs of similar age from Frontiers in oncology
#100
of 162 outputs
Altmetric has tracked 26,414,132 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 23,127 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 254,644 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 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.