Evidence map›Paper›PMID 28714169›Full record

ArticleMagnetic resonance in medicine2018

Reliable quantification of marrow fat content and unsaturation level using in vivo MR spectroscopy.

Kaipin Xu, Sigurdur Sigurdsson, Vilmundur Gudnason, Trisha Hue, Ann Schwartz, Xiaojuan Li

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. 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
  3. Article
  4. Saturated and Unsaturated Bone Marrow Lipids Have Distinct Effects on Bone Density and Fracture Risk in Older Adults.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022
    Article
  5. Article
  6. Review
  7. 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

6 authors.

Kaipin XuDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
Sigurdur SigurdssonIcelandic Heart Association, Kopavogur, Iceland.
Vilmundur GudnasonIcelandic Heart Association, Kopavogur, Iceland.
Trisha HueDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.
Ann SchwartzDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.
Xiaojuan LiDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.

Funding

Longitudinal changes in marrow fat, other fat depots and boneR01AR065645 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LI, XIAOJUAN, SCHWARTZ, ANN V · 2014 to 2017
$2.2M
Bone Marrow Adiposity, Bone and Body CompositionR01AR057819 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LI, XIAOJUAN, SCHWARTZ, ANN V · 2010 to 2012
$1.7M
AGES STUDY-THE REYKJAVIK STUDY OF HEALTHY AGING FOR THE NEW MILLENNIUM-26012100N01AG012100 · NIA · ICELANDIC HEART ASSOCIATION · 2002 to 2004
–
NIAMS NIH HHS R01 AR057819NIAMS NIH HHS R01 AR065645NIA NIH HHS N01 AG012100
6 · The paper itself

Abstract

purposeTo develop a novel technique for reliable quantification of bone marrow fat content and composition using in vivo MR spectroscopy (MRS).

methodsAn MRS quantification method combining both advantages of Voigt line shape model and time-domain analysis was developed. The proposed method was tested using computer-simulated data and in vivo data acquired at lumbar vertebral bodies of 23 subjects (age, 83.8 ± 3.7 y; male, n = 13; female, n = 10) from L1 to L4. Reliability and reproducibility were calculated for the quantification results. Comparisons between the proposed method and some conventional methods were conducted.

resultsLow mean absolute percentage errors and low mean coefficients of variation for computer simulations suggest that the proposed method is accurate and precise. By using this method, marrow fat content can be quantified reliably, even for data with low spectral resolution and low signal-to-noise ratio (SNR). Unsaturation level can be reliably quantified for data with moderate spectral resolution and moderate SNR. Results obtained from in vivo data using the proposed method demonstrated better model fit than conventional methods.

conclusionThe method proposed in this study has better performance than conventional methods in the quantification of bone marrow MRS data and has great potential for wide applications of studying marrow fat content and composition. Magn Reson Med 79:1722-1729, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Indexed as

Adipose TissueAged, 80 and overBone MarrowFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleReproducibility of Resultsbone marrowcomputer simulationfat quantificationfat unsaturationin vivo magnetic resonance spectroscopy (MRS)time-domain analysisVoigt line shape model

Identifiers

PMID28714169
PMCPMC5930928

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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.