Evidence map›Paper›PMID 25299952›Full record

ArticleSensors (Basel, Switzerland)2014

Correlation of X-ray computed tomography with quantitative nuclear magnetic resonance methods for pre-clinical measurement of adipose and lean tissues in living mice.

Matthew N Metzinger, Bernadette Miramontes, Peng Zhou, Yueying Liu, Sarah Chapman, Lucy Sun, Todd A Sasser, Giles E Duffield, M Sharon Stack, W Matthew Leevy

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Effects of Overexpression of Fibroblast Growth Factor 15/19 on Hepatic Drug Metabolizing Enzymes.Drug metabolism and disposition: the biological fate of chemicals · 2022
    Article
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  11. Article
  12. Article
  13. Article
  14. Review
  15. PreclinicalFrontiers in pharmacology · 2016
    Review
  16. Article
  17. 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

10 authors.

Matthew N MetzingerDepartment of Chemistry and Biochemistry, 236 Nieuwland Science Hall, University of Notre Dame, Notre Dame, IN 46556, USA. luciesun101@gmail.com.
Bernadette MiramontesDepartment of Biological Sciences, Galvin Life Sciences Center, University of Notre Dame, Notre Dame, IN 46556, USA. bmiramon@nd.edu.
Peng ZhouDepartment of Biological Sciences, Galvin Life Sciences Center, University of Notre Dame, Notre Dame, IN 46556, USA. pzhou@nd.edu.
Yueying LiuDepartment of Chemistry and Biochemistry, 236 Nieuwland Science Hall, University of Notre Dame, Notre Dame, IN 46556, USA. luciesun101@gmail.com.
Sarah ChapmanNotre Dame Integrated Imaging Facility, 416c Main Building, University of Notre Dame, Notre Dame, IN 46556, USA. sarah.chapman@nd.edu.
Lucy SunHarper Cancer Research Institute, A200 Harper Hall, University of Notre Dame, South Bend, IN 46617, USA. luciesun101@gmail.com.
Todd A SasserNotre Dame Integrated Imaging Facility, 416c Main Building, University of Notre Dame, Notre Dame, IN 46556, USA. todd.sasser@carestream.com.
Giles E DuffieldDepartment of Biological Sciences, Galvin Life Sciences Center, University of Notre Dame, Notre Dame, IN 46556, USA. gduffiel@nd.edu.
M Sharon StackDepartment of Chemistry and Biochemistry, 236 Nieuwland Science Hall, University of Notre Dame, Notre Dame, IN 46556, USA. luciesun101@gmail.com.
W Matthew LeevyHarper Cancer Research Institute, A200 Harper Hall, University of Notre Dame, South Bend, IN 46617, USA. wleevy@nd.edu.

Funding

Receptor Cross-Talk in Early Metastatic DisseminationR01CA109545 · NCI · UNIVERSITY OF NOTRE DAME · PI STACK, MARY SHARON · 2006 to 2022
$4.3M
REGULATION OF OVARIAN CARCINOMA PROTEINASESR01CA086984 · NCI · UNIVERSITY OF NOTRE DAME · PI STACK, MARY SHARON · 2000 to 2014
$3.8M
Function of Inhibitor of DNA binding (id) genes in the circadian systemR01GM087508 · NIGMS · UNIVERSITY OF NOTRE DAME · PI DUFFIELD, GILES · 2010 to 2014
$1.4M
NCI NIH HHS R01 CA086984NCI NIH HHS R01 CA109545NIGMS NIH HHS R01 GM087508NIGMS NIH HHS R01-GM087508
6 · The paper itself

Abstract

Numerous obesity studies have coupled murine models with non-invasive methods to quantify body composition in longitudinal experiments, including X-ray computed tomography (CT) or quantitative nuclear magnetic resonance (QMR). Both microCT and QMR have been separately validated with invasive techniques of adipose tissue quantification, like post-mortem fat extraction and measurement. Here we report a head-to-head study of both protocols using oil phantoms and mouse populations to determine the parameters that best align CT data with that from QMR. First, an in vitro analysis of oil/water mixtures was used to calibrate and assess the overall accuracy of microCT vs. QMR data. Next, experiments were conducted with two cohorts of living mice (either homogenous or heterogeneous by sex, age and genetic backgrounds) to assess the microCT imaging technique for adipose tissue segmentation and quantification relative to QMR. Adipose mass values were obtained from microCT data with three different resolutions, after which the data were analyzed with different filter and segmentation settings. Strong linearity was noted between the adipose mass values obtained with microCT and QMR, with optimal parameters and scan conditions reported herein. Lean tissue (muscle, internal organs) was also segmented and quantified using the microCT method relative to the analogous QMR values. Overall, the rigorous calibration and validation of the microCT method for murine body composition, relative to QMR, ensures its validity for segmentation, quantification and visualization of both adipose and lean tissues.

Indexed as

Body CompositionMagnetic Resonance ImagingTomography, X-Ray ComputedAbsorptiometry, PhotonAdipose TissueAnimalsHumansMiceObesity

Identifiers

PMID25299952
PMCPMC4239858

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.