Evidence mapPaperPMID 30006022Full record

ArticleMagnetic resonance imaging2018

Chemical shift-encoded MRI for assessment of bone marrow adipose tissue fat composition: Pilot study in premenopausal versus postmenopausal women.

Dimitri Martel, Benjamin Leporq, Mary Bruno, Ravinder R Regatte, Stephen Honig, Gregory Chang

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Magnetic resonance imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07178145 (MRI of Epicardial Adipose Tissue Composition), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.0field-weighted citation impact, top 10% 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.

NCT07178145 phase4recruitingstarted 2025, after this paper: background citation

MRI of Epicardial Adipose Tissue Composition: Development of Methods and Application to Heart Failure With Preserved Ejection Fraction

Ran2025Enrolled192Registered outcomes6Posted comparisons0ConditionsEpicardial Adipose Tissue, Heart Failure Preserved Ejection FractionArmsGLP-1RA
Open the trial in the graph
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Bone Marrow Adiposity Alterations in Type 2 Diabetes Are Sex-Specific and Associated with Serum Lipid Levels.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2023
    Article
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  7. Article
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  9. Article
  10. Article
  11. Review
  12. Survey of MRI Usefulness for the Clinical Assessment of Bone Microstructure.International journal of molecular sciences · 2021
    Review
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  14. Article
  15. Review
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  18. 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 at 4 institutions in 3 countries.

Dimitri MartelBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York City, NY, USA. Electronic address: dimitri.martel@nyumc.org.
Benjamin LeporqUniversity of Lyon, Laboratoire CREATIS, CNRS UMR 5220, Inserm U1206, INSA-Lyon, UJM Saint-Etienne, UCBL Lyon 1, Lyon, France.
Mary BrunoBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York City, NY, USA.
Ravinder R RegatteBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York City, NY, USA.
Stephen HonigOsteoporosis Center, Hospital for Joint Diseases, New York University School of Medicine, New York City, NY, USA.
Gregory ChangBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York City, NY, USA.
New York University · USMartel · CHNew York University Langone Orthopedic Hospital · USUniversité Claude Bernard Lyon 1 · FR

Funding

TR&D 3: Revealing Microstructure: Biophysical Modeling and Validation for Discovery and Clinical CareP41EB017183 · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2025 to 2025
$1.3M
NIAMS NIH HHS R01 AR066008NIAMS NIH HHS R01 AR070131NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

objectTo quantify and compare subregional proximal femur bone marrow fat composition in premenopausal and postmenopausal women using chemical shift-encoded-MRI (CSE-MRI). MATERIALS AND

methodsA multi gradient-echo sequence at 3 T was used to scan both hips of premenopausal (n = 9) and postmenopausal (n = 18) women. Subregional fat composition (saturation, poly-unsaturation, mono-unsaturation) was quantitatively assessed in the femoral head, femoral neck, Ward's triangle, greater trochanter, and proximal shaft in bone marrow adipose tissue and separately within red and yellow marrow adipose tissue.

resultsSignificant differences in fat composition in postmenopausal compared to premenopausal women, which varied depending on the subregion analyzed, were found. Within both whole and yellow marrow adipose tissue, postmenopausal women demonstrated higher saturation (+14.7% to +43.3%), lower mono- (-11.4% to -33%) and polyunsaturation (-52 to -83%) (p < 0.05). Within red marrow adipose tissue, postmenopausal women demonstrated lower fat quantity (-16% to -24%) and decreased polyunsaturation (-80 to -120%) in the femoral neck, greater trochanter, and Ward's triangle (p < 0.05).

conclusionCSE-MRI can be used to detect subregional differences in proximal femur marrow adipose tissue composition between pre- and post-menopausal women in clinically feasible scan times.

Indexed as

Adipose TissueAdultAgedBone DensityBone MarrowFemaleFemurHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMiddle AgedOsteoporosisPilot ProjectsPostmenopausePremenopause3 T MRIChemical Shift Encoded MRIFatty acid compositionHip bone marrowOsteoporosis

Identifiers

PMID30006022
OpenAlexW2841696988

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.