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Computed tomography assessment of body composition in patients with nonmetastatic breast cancer: what are the best prognostic markers?

Overview of attention for article published in Radiologia Brasileira, November 2022
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Title
Computed tomography assessment of body composition in patients with nonmetastatic breast cancer: what are the best prognostic markers?
Published in
Radiologia Brasileira, November 2022
DOI 10.1590/0100-3984.2022.0022
Pubmed ID
Authors

José Carlos Oliveira, Thais Manfrinato Miola, Stefânia Maria Roman, Humberto Oliart-Guzmán, Vinícius Silva Oliveira, Juliana de Oliveira Souza, Fabiana Baroni Makdissi, Almir Galvão Vieira Bitencourt

Abstract

To correlate body composition measures, based on computed tomography (CT) analysis of muscle mass and adipose tissue, with disease-free survival in breast cancer patients. This single-center retrospective study included 262 female patients with nonmetastatic breast cancer. Body composition was assessed on a pretreatment CT scan (at the L3 level). The analysis included quantification of the areas of subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and skeletal muscle mass, as well as of the mean skeletal muscle density. The VAT/SAT ratio, skeletal mass index (SMI), and skeletal muscle gauge (SMG) were calculated. Of the 262 patients evaluated, 175 (66.8%) were classified as overweight or obese on the basis of their body mass index. We observed low SMI in 35 patients (13.4%) and elevated VAT in 123 (46.9%). Disease-free survival was significantly shorter in the patients who underwent neoadjuvant chemotherapy (p = 0.044), in those with a low SMI (p = 0.006), in those with low SMG (p = 0.013), and in those with a low VAT/SAT ratio (p = 0.050). In a multivariate analysis, only SMG, the VAT/SAT ratio, and having undergone neoadjuvant chemotherapy retained their statistical significance. Our results confirm that low SMG and the VAT/SAT ratio can be used as imaging biomarkers to assess prognosis in patients with nonmetastatic breast cancer.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 8%
Professor 1 8%
Librarian 1 8%
Student > Ph. D. Student 1 8%
Other 1 8%
Other 0 0%
Unknown 7 58%
Readers by discipline Count As %
Medicine and Dentistry 2 17%
Unspecified 1 8%
Social Sciences 1 8%
Agricultural and Biological Sciences 1 8%
Unknown 7 58%
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 15 December 2022.
All research outputs
#22,778,604
of 25,392,582 outputs
Outputs from Radiologia Brasileira
#303
of 394 outputs
Outputs of similar age
#375,831
of 440,740 outputs
Outputs of similar age from Radiologia Brasileira
#2
of 5 outputs
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