Evidence map›Paper›PMID 29148120›Full record

ArticleJournal of magnetic resonance imaging : JMRI2018

Mapping brown adipose tissue based on fat water fraction provided by Z-spectral imaging.

Alessandro Scotti, Rong-Wen Tain, Weiguo Li, Victoria Gil, Chong Wee Liew, Kejia Cai

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Phase-independent thermometry by Z-spectrum MR imaging.Magnetic resonance in medicine · 2022
    Article
  10. Molecular Imaging of Brown Adipose Tissue Mass.International journal of molecular sciences · 2021
    Review
  11. [Comparison ofNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021
    Article
  12. Article
  13. Review
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alessandro ScottiDepartment of Radiology, University of Illinois at Chicago, Illinois, USA.
Rong-Wen TainDepartment of Radiology, University of Illinois at Chicago, Illinois, USA.
Weiguo LiResearch Resources Center, University of Illinois at Chicago, Illinois, USA.
Victoria GilDepartment of Physiology and Biophysics, University of Illinois at Chicago, Illinois, USA.
Chong Wee LiewDepartment of Physiology and Biophysics, University of Illinois at Chicago, Illinois, USA.
Kejia CaiDepartment of Radiology, University of Illinois at Chicago, Illinois, USA.

Funding

EMC10, a novel obesity-regulated circulating factor, regulates energy and metabolic homeostasisR01DK109015 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIEW, CHONG WEE · 2016 to 2020
$1.8M
Role of the transcriptional coregulator, TRIP Br2, in adipocyte metabolismR00DK090210 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIEW, CHONG WEE · 2012 to 2014
$724k
Take pictures of short-lived ROS with endogenous contrast MRIR21EB023516 · NIBIB · UNIVERSITY OF ILLINOIS AT CHICAGO · PI CAI, KEJIA · 2017 to 2018
$440k
NIBIB NIH HHS R21 EB023516NIDDK NIH HHS R00 DK090210NIDDK NIH HHS R01 DK109015
6 · The paper itself

Abstract

backgroundBrown adipose tissue (BAT) has a great relevance in metabolic diseases and has been shown to be reduced in obesity and insulin resistance patients. Currently, Dixon MRI is used to calculate fat-water fraction (FWF) and differentiate BAT from white adipose tissue (WAT). However, it may fail in areas of phase wrapping and introduce fat-water swapping artifacts. PURPOSE: To investigate the capacity of the Z-spectrum imaging (ZSI) for the identification of BAT in vivo. STUDY TYPE: Retrospective study. SPECIMENS: WAT, BAT, and lean tissue from healthy mice. ANIMALS: Four C57BL/6 healthy mice. POPULATION: Five healthy volunteers. FIELD STRENGTH: 9.4T, 3T for volunteers. SEQUENCE: Z-Spectra data were fitted to a model with three Lorentzian peaks reflecting the direct saturation of tissue water (W) and methylene fat (F), and the magnetization transfer from the semi-solid tissues. The peak amplitudes of water and fat were used to map the FWF. The novel FWF metric was calibrated with an oil and water mixture phantom and validated in specimens, mice and human subjects. ASSESSMEMT: FWF distribution was compared with published works and values compared with Dixon's MRI results. STATISTICAL TESTS: Comparisons were performed by t-tests.

resultsZSI clearly differentiated WAT, BAT, and lean tissues by having FWF = 1, 0.5, and 0, respectively. Calibration with oil mixture phantoms revealed a linear relationship between FWF and the actual fat fraction (R DATA

conclusionZSI can derive artifact-free FWF maps, which can be used to identify BAT distribution in vivo noninvasively. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018;47:1527-1533.

Indexed as

Magnetic Resonance ImagingAdipose Tissue, BrownAdipose Tissue, WhiteAdultAnimalsArtifactsCalibrationHumansImage Processing, Computer-AssistedInsulin ResistanceMaleMiceMice, Inbred C57BLObesityPhantoms, ImagingRetrospective StudiesWaterbrown adipose tissueCEST MRIfat fractionobesityZ-spectrum

Identifiers

PMID29148120
PMCPMC5957768

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Registered trials

None linked

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.