Evidence map›Paper›PMID 26563561›Full record

ArticleSkeletal radiology2016

Short- and long-term reproducibility of marrow adipose tissue quantification by 1H-MR spectroscopy.

Vibha Singhal, Karen K Miller, Martin Torriani, Miriam A Bredella

Open access · greenAbstract read
In one paragraph

Article in Skeletal radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.8field-weighted citation impact, top 11% of its field
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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Article
  3. Fat and bone: the multiperspective analysis of a close relationship.Quantitative imaging in medicine and surgery · 2020
    Review
  4. Review
  5. Review
  6. Simultaneous Estimation of the Fat Fraction and R₂Korean journal of radiology · 2019
    Article
  7. Review
  8. Quantitative MRI and spectroscopy of bone marrow.Journal of magnetic resonance imaging : JMRI · 2018
    Review
  9. Article
  10. Article
  11. Article
  12. Review
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

4 authors at 2 institutions in 1 country.

Vibha SinghalPediatric Endocrine Unit, Massachusetts General Hospital for Children and Harvard Medical School, Boston, MA, USA.
Karen K MillerNeuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Martin TorrianiDepartment of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Miriam A BredellaDepartment of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. mbredella@mgh.harvard.edu.
Harvard University · USMassachusetts General Hospital · US

Funding

HARVARD CLINICAL AND TRANSLATIONAL SCIENCE CENTER (UL1)UL1RR025758 · NCRR · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2008 to 2011
$91.4M
ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Alessio Fasano · 1994 to 2026
$31.6M
GH, Cardiovascular Risk and Visceral Adiposity in WomenR01HL077674 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MILLER, KAREN K · 2007 to 2011
$3.2M
Growth Hormone and Cardiovascular DiseaseK24HL092902 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MILLER, KAREN K · 2010 to 2019
$1.6M
Training Program in Nutrition and MetabolismT32HD052961 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI GRINSPOON, STEVEN K. · 2005 to 2016
$1.3M
EFFECTS OF GROWTH HORMONE ON INTRAMYOCELLULAR LIPIDSK23RR023090 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI BREDELLA, MIRIAM ANTOINETTE · 2007 to 2011
$813k
NCRR NIH HHS K23 RR023090NCRR NIH HHS K23 RR-23090NCRR NIH HHS UL1 RR 025758NCRR NIH HHS UL1 RR025758NHLBI NIH HHS K24 HL092902NHLBI NIH HHS R01 HL-077674NHLBI NIH HHS R01 HL077674NICHD NIH HHS T32 HD052961NIDDK NIH HHS P30 DK040561
6 · The paper itself

Abstract

objectiveTo assess short- and long-term reproducibility of marrow adipose tissue (MAT) quantification by 1H-MR spectroscopy. MATERIALS AND

methodsOur study was IRB-approved and HIPAA compliant. Written informed consent was obtained. We studied 20 overweight/obese but otherwise healthy subjects (12 female, 8 male) with a mean age of 37 ± 6 years. All subjects underwent proton magnetic resonance spectroscopy (1H-MRS) of the fourth lumbar vertebral body using a single-voxel point-resolved spatially localized spectroscopy sequence without water suppression at 3 T. Measurements were repeated after 6 weeks and 6 months using identical scanning protocols. The following clinical parameters were collected, weight, BMI, exercise status, and trabecular bone mineral density (BMD), by quantitative computed tomography. Short- (baseline, 6 weeks) and long-term (baseline, 6 months) reproducibility of MAT was assessed by the coefficient of variance (CV), standard deviation (SD), and interclass correlation coefficients (ICCs). Short- and long-term changes in clinical parameters were assessed by paired t-test.

resultsFor short-term reproducibility between baseline and 6-week scans, the CV was 9.9 %, SD was 0.08, and ICC was 0.97 (95 % CI 0.94-099). For long-term reproducibility between baseline and 6-month scans, the CV was 12.0 %, SD was 0.10, and ICC was 0.95 (95 % CI 0.88 to 0.98). There was no significant short- or long-term change in clinical parameters (weight, BMI, exercise status, BMD) (p > 0.2).

conclusion1H-MRS is a reproducible method for short- and long-term quantification of MAT. Our results can guide sample size calculations for interventional and longitudinal studies.

Indexed as

Proton Magnetic Resonance SpectroscopyAdipose TissueAdultBone DensityBone MarrowFemaleHumansLumbar VertebraeMaleObesityReproducibility of ResultsMarrow adipose tissueProton MR spectroscopyReproducibility

Identifiers

PMID26563561
PMCPMC4864977
OpenAlexW2179314177

What OpenQuestion holds

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Registered trials

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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.