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Precision of MRI-based body composition measurements of postmenopausal women

Overview of attention for article published in PLOS ONE, February 2018
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Title
Precision of MRI-based body composition measurements of postmenopausal women
Published in
PLOS ONE, February 2018
DOI 10.1371/journal.pone.0192495
Pubmed ID
Authors

Janne West, Thobias Romu, Sofia Thorell, Hanna Lindblom, Emilia Berin, Anna-Clara Spetz Holm, Lotta Lindh Åstrand, Anette Karlsson, Magnus Borga, Mats Hammar, Olof Dahlqvist Leinhard

Abstract

To determine precision of magnetic resonance imaging (MRI) based fat and muscle quantification in a group of postmenopausal women. Furthermore, to extend the method to individual muscles relevant to upper-body exercise. This was a sub-study to a randomized control trial investigating effects of resistance training to decrease hot flushes in postmenopausal women. Thirty-six women were included, mean age 56 ± 6 years. Each subject was scanned twice with a 3.0T MR-scanner using a whole-body Dixon protocol. Water and fat images were calculated using a 6-peak lipid model including R2*-correction. Body composition analyses were performed to measure visceral and subcutaneous fat volumes, lean volumes and muscle fat infiltration (MFI) of the muscle groups' thigh muscles, lower leg muscles, and abdominal muscles, as well as the three individual muscles pectoralis, latissimus, and rhomboideus. Analysis was performed using a multi-atlas, calibrated water-fat separated quantification method. Liver-fat was measured as average proton density fat-fraction (PDFF) of three regions-of-interest. Precision was determined with Bland-Altman analysis, repeatability, and coefficient of variation. All of the 36 included women were successfully scanned and analysed. The coefficient of variation was 1.1% to 1.5% for abdominal fat compartments (visceral and subcutaneous), 0.8% to 1.9% for volumes of muscle groups (thigh, lower leg, and abdomen), and 2.3% to 7.0% for individual muscle volumes (pectoralis, latissimus, and rhomboideus). Limits of agreement for MFI was within ± 2.06% for muscle groups and within ± 5.13% for individual muscles. The limits of agreement for liver PDFF was within ± 1.9%. Whole-body Dixon MRI could characterize a range of different fat and muscle compartments with high precision, including individual muscles, in the study-group of postmenopausal women. The inclusion of individual muscles, calculated from the same scan, enables analysis for specific intervention programs and studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 134 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 14%
Student > Bachelor 18 13%
Student > Ph. D. Student 13 10%
Student > Master 11 8%
Unspecified 8 6%
Other 20 15%
Unknown 45 34%
Readers by discipline Count As %
Medicine and Dentistry 21 16%
Nursing and Health Professions 13 10%
Sports and Recreations 10 7%
Unspecified 8 6%
Engineering 6 4%
Other 19 14%
Unknown 57 43%
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 09 February 2018.
All research outputs
#18,587,406
of 23,023,224 outputs
Outputs from PLOS ONE
#156,407
of 196,230 outputs
Outputs of similar age
#328,238
of 437,841 outputs
Outputs of similar age from PLOS ONE
#2,729
of 3,471 outputs
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