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Predictive significance of standardized uptake value parameters of FDG-PET in patients with non-small cell lung carcinoma

Overview of attention for article published in Brazilian Journal of Medical and Biological Research, March 2015
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Title
Predictive significance of standardized uptake value parameters of FDG-PET in patients with non-small cell lung carcinoma
Published in
Brazilian Journal of Medical and Biological Research, March 2015
DOI 10.1590/1414-431x20144137
Pubmed ID
Authors

X-Y Duan, W Wang, M Li, Y Li, Y-M Guo

Abstract

18F-fluoro-2-deoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) is widely used to diagnose and stage non-small cell lung cancer (NSCLC). The aim of this retrospective study was to evaluate the predictive ability of different FDG standardized uptake values (SUVs) in 74 patients with newly diagnosed NSCLC. 18F-FDG PET/CT scans were performed and different SUV parameters (SUVmax, SUVavg, SUVT/L, and SUVT/A) obtained, and their relationship with clinical characteristics were investigated. Meanwhile, correlation and multiple stepwise regression analyses were performed to determine the primary predictor of SUVs for NSCLC. Age, gender, and tumor size significantly affected SUV parameters. The mean SUVs of squamous cell carcinoma were higher than those of adenocarcinoma. Poorly differentiated tumors exhibited higher SUVs than well-differentiated ones. Further analyses based on the pathologic type revealed that the SUVmax, SUVavg, and SUVT/L of poorly differentiated adenocarcinoma tumors were higher than those of moderately or well-differentiated tumors. Among these four SUV parameters, SUVT/L was the primary predictor for tumor differentiation. However, in adenocarcinoma, SUVmax was the determining factor for tumor differentiation. Our results showed that these four SUV parameters had predictive significance related to NSCLC tumor differentiation; SUVT/L appeared to be most useful overall, but SUVmax was the best index for adenocarcinoma tumor differentiation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Student > Ph. D. Student 4 12%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Researcher 3 9%
Other 3 9%
Unknown 10 30%
Readers by discipline Count As %
Medicine and Dentistry 13 39%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Nursing and Health Professions 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Business, Management and Accounting 1 3%
Other 2 6%
Unknown 12 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 05 February 2015.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from Brazilian Journal of Medical and Biological Research
#1,018
of 1,254 outputs
Outputs of similar age
#232,487
of 270,992 outputs
Outputs of similar age from Brazilian Journal of Medical and Biological Research
#10
of 13 outputs
Altmetric has tracked 25,371,288 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 1,254 research outputs from this source. They receive a mean Attention Score of 4.9. 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 13 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.