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[18F]FDG PET/CT predicts progression-free survival in patients with idiopathic pulmonary fibrosis

Overview of attention for article published in Respiratory Research, April 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
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6 X users

Citations

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65 Dimensions

Readers on

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51 Mendeley
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1 CiteULike
Title
[18F]FDG PET/CT predicts progression-free survival in patients with idiopathic pulmonary fibrosis
Published in
Respiratory Research, April 2017
DOI 10.1186/s12931-017-0556-3
Pubmed ID
Authors

Aurélien Justet, Astrid Laurent-Bellue, Gabriel Thabut, Arnaud Dieudonné, Marie-Pierre Debray, Raphael Borie, Michel Aubier, Rachida Lebtahi, Bruno Crestani

Abstract

Idiopathic pulmonary fibrosis (IPF) is a devastating disease characterized by an unpredictable course. Prognostic markers and disease activity markers are needed. The purpose of this single-center retrospective study was to evaluate the prognostic value of lung fluorodeoxyglucose ([(18)F]-FDG) uptake assessed by standardized uptake value (SUV), metabolic lung volume (MLV) and total lesion glycolysis (TLG) in patients with IPF. We included 27 IPF patients (IPF group) and 15 patients with a gastrointestinal neuroendocrine tumor without thoracic involvement (control group). We quantified lung SUV mean and SUV max, MLV and TLG and assessed clinical data, high-resolution CT (HRCT) fibrosis and ground-glass score; lung function; gender, age, physiology (GAP) stage at inclusion and during follow-up; and survival. Lung SUV mean and SUV max were higher in IPF patients than controls (p <0.00001). For patients with IPF, SUV mean, SUV max, MLV and TLG were correlated with severity of lung involvement as measured by a decline in forced vital capacity (FVC) and diffusing capacity of the lungs for carbon monoxide (DLCO) and increased GAP score. In a univariate and in a multivariate Cox proportional-hazards model, risk of death was increased although not significantly with high SUV mean. On univariate analysis, risk of death was significantly associated with high TLG and MLV, which disappeared after adjustment functional variables or GAP index. Increased MLV and TLG were independent predictors of death or disease progression during the 12 months after PET scan completion (for every 100-point increase in TLG, hazard ratio [HR]: 1.11 (95% CI 1.06; 1.36), p = 0.003; for every 100-point increase in MLV, HR: 1.20 (1.04; 1.19), p = 0.002). On multivariable analysis including TLG or MLV with age, FVC, and DLCO or GAP index, TLG and MLV remained associated with progression-free survival (HR: 1.1 [1.03; 1.22], p = 0.01; and 1.13 [1.0; 1.2], p = 0.005). FDG lung uptake may be a marker of IPF severity and predict progression-free survival for patients with IPF.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Ph. D. Student 8 16%
Other 7 14%
Student > Bachelor 5 10%
Student > Doctoral Student 3 6%
Other 8 16%
Unknown 10 20%
Readers by discipline Count As %
Medicine and Dentistry 26 51%
Agricultural and Biological Sciences 2 4%
Nursing and Health Professions 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 8%
Unknown 14 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 13 May 2017.
All research outputs
#3,698,342
of 25,382,440 outputs
Outputs from Respiratory Research
#481
of 3,062 outputs
Outputs of similar age
#64,126
of 323,433 outputs
Outputs of similar age from Respiratory Research
#12
of 70 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,062 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 84% of its peers.
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 323,433 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.