ArticleJournal of medical imaging (Bellingham, Wash.)2015
Correlations between quantitative fat-water magnetic resonance imaging and computed tomography in human subcutaneous white adipose tissue.
Article in Journal of medical imaging (Bellingham, Wash.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Subcutaneous Adipose Tissue Radiation Attenuation Is Associated With Increased 1-Year Mortality in Polytrauma Patients.Journal of cachexia, sarcopenia and muscle · 2025Article
- Brown Adipose Tissue-A Translational Perspective.Endocrine reviews · 2023Review
- Higher subcutaneous adipose tissue radiodensity is associated with increased mortality in patients with cirrhosis.JHEP reports : innovation in hepatology · 2022Article
- Article
- Effect of microscopic susceptibility gradients on chemical-shift-based fat fraction quantification in supraclavicular fat.Journal of magnetic resonance imaging : JMRI · 2019Article
- Lean body mass wasting and toxicity in early breast cancer patients receiving anthracyclines.Oncotarget · 2018Article
- Characterizing active and inactive brown adipose tissue in adult humans using PET-CT and MR imaging.American journal of physiology. Endocrinology and metabolism · 2016Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Beyond estimation of depot volumes, quantitative analysis of adipose tissue properties could improve understanding of how adipose tissue correlates with metabolic risk factors. We investigated whether the fat signal fraction (FSF) derived from quantitative fat-water magnetic resonance imaging (MRI) scans at 3.0 T correlates to CT Hounsfield units (HU) of the same tissue. These measures were acquired in the subcutaneous white adipose tissue (WAT) at the umbilical level of 21 healthy adult subjects. A moderate correlation exists between MRI- and CT-derived WAT values for all subjects, [Formula: see text], [Formula: see text], with a slope of [Formula: see text], (95% CI [Formula: see text]), indicating that a decrease of 1 HU equals a mean increase of 0.38% FSF. We demonstrate that FSF estimates obtained using quantitative fat-water MRI techniques correlate with CT HU values in subcutaneous WAT, and therefore, MRI-based FSF could be used as an alternative to CT HU for assessing metabolic risk factors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.