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Prediction of breast cancer recurrence using lymph node metabolic and volumetric parameters from 18F-FDG PET/CT in operable triple-negative breast cancer

Overview of attention for article published in European Journal of Nuclear Medicine and Molecular Imaging, June 2017
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Title
Prediction of breast cancer recurrence using lymph node metabolic and volumetric parameters from 18F-FDG PET/CT in operable triple-negative breast cancer
Published in
European Journal of Nuclear Medicine and Molecular Imaging, June 2017
DOI 10.1007/s00259-017-3748-7
Pubmed ID
Authors

Yong-il Kim, Yong Joong Kim, Jin Chul Paeng, Gi Jeong Cheon, Dong Soo Lee, June-Key Chung, Keon Wook Kang

Abstract

Triple-negative breast cancer has a poor prognosis. We evaluated several metabolic and volumetric parameters from preoperative (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) in the prognosis of triple-negative breast cancer and compared them with current clinicopathologic parameters. A total of 228 patients with triple-negative breast cancer (mean age 47.0 ± 10.8 years, all women) who had undergone preoperative PET/CT were included. The PET/CT metabolic parameters evaluated included maximum, peak, and mean standardized uptake values (SUVmax, SUVpeak, and SUVmean, respectively). The volumetric parameters evaluated included metabolic tumor volume (MTV) and total lesion glycolysis (TLG). Metabolic and volumetric parameters were evaluated separately for tumor (T) and lymph nodes (N). The prognostic value of these parameters was compared with that of clinicopathologic parameters. All lymph node metabolic and volumetric parameters showed significant differences between patients with and without recurrence. However, tumor metabolic and volumetric parameters showed no significant differences. In a univariate survival analysis, all lymph node metabolic and volumetric parameters (SUVmax-N, SUVpeak-N, SUVmean-N, MTV-N, and TLG-N; all P < 0.001), T stage (P = 0.010), N stage (P < 0.001), and TNM stage (P < 0.001) were significant parameters. In a multivariate survival analysis, SUVmax-N (P = 0.005), MTV (P = 0.008), and TLG (P = 0.006) with TNM stage (all P < 0.001) were significant parameters. Lymph node metabolic and volumetric parameters were significant predictors of recurrence in patients with triple-negative breast cancer after surgery. Lymph node metabolic and volumetric parameters were useful parameters for evaluating prognosis in patients with triple-negative breast cancer by (18)F-FDG PET/CT, rather than tumor parameters.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Other 3 14%
Student > Ph. D. Student 2 9%
Student > Postgraduate 2 9%
Researcher 2 9%
Other 1 5%
Unknown 8 36%
Readers by discipline Count As %
Medicine and Dentistry 7 32%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Physics and Astronomy 1 5%
Business, Management and Accounting 1 5%
Other 2 9%
Unknown 9 41%
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 30 August 2017.
All research outputs
#19,214,418
of 23,806,312 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#2,305
of 3,083 outputs
Outputs of similar age
#244,108
of 318,823 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#23
of 40 outputs
Altmetric has tracked 23,806,312 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 3,083 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 15th percentile – i.e., 15% 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 318,823 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.