Evidence map›Paper›PMID 34404568›Full record

ArticleJournal of clinical densitometry : the official journal of the International Society for Clinical Densitometry

MRI Based Validation of Abdominal Adipose Tissue Measurements From DXA in Postmenopausal Women.

Jennifer W Bea, Zhao Chen, Robert M Blew, Jennifer Skye Nicholas, Shawna Follis, Victoria L Bland, Ting-Yuan David Cheng, Heather M Ochs-Balcom, Jean Wactawski-Wende, Hailey R Banack and 8 more

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Precision or Paradox? AI-Driven Adiposity Imaging in Women With Overweight and Obesity: A Systematic Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Trial
  3. Review
  4. Greater amounts of visceral adipose and lean body mass increase heart failure risk in older women.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
  5. Article
  6. Review
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  8. Dual-energy X-ray Absorptiometry-Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
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  18. Review
  19. Visceral adipose tissue in obesity: A comparison between DXA and MRI measures.Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry
    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

18 authors at 11 institutions in 1 country.

Jennifer W BeaDepartment of Nutritional Sciences, University of Arizona, Tucson, AZ, USA; Department of Medicine, University of Arizona, Tucson, AZ, USA; University of Arizona Cancer Center, Tucson, AZ, USA. Electronic address: jbea@uacc.arizona.edu.
Zhao ChenDepartment of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ, USA.
Robert M BlewDepartment of Nutritional Sciences, University of Arizona, Tucson, AZ, USA.
Jennifer Skye NicholasDepartment of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ, USA.
Shawna FollisStanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, CA, USA.
Victoria L BlandDepartment of Nutritional Sciences, University of Arizona, Tucson, AZ, USA.
Ting-Yuan David ChengDepartment of Epidemiology, University of Florida, Gainesville, FL, USA.
Heather M Ochs-BalcomDepartment of Epidemiology and Environmental Health, State University of New York at Buffalo, Buffalo, NY, USA.
Jean Wactawski-WendeDepartment of Epidemiology and Environmental Health, State University of New York at Buffalo, Buffalo, NY, USA.
Hailey R BanackDepartment of Epidemiology and Environmental Health, State University of New York at Buffalo, Buffalo, NY, USA.
Marian L NeuhouserCancer Prevention Program. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Deepika LadduDepartment of Physical Therapy, University of Illinois at Chicago, Chicago, IL, USA.
Marcia L StefanickStanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, CA, USA.
Jane A CauleyDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Bette CaanDivision of Research, Kaiser Permanente, Oakland, CA, USA.
Meryl S LeBoffDepartment of Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.
Rowan T ChlebowskiThe Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Andrew O OdegaardDepartment of Epidemiology and Biostatistics, University of California, Irvine, CA, USA.
University of Arizona · USUniversity at Buffalo, State University of New York · USStanford University · USBrigham and Women's Hospital · USFred Hutch Cancer Center · USKaiser Permanente · USUCLA Medical Center · USUniversity of California, Irvine · USUniversity of Florida · USUniversity of Illinois Chicago · USUniversity of Pittsburgh · US

Funding

WOMEN'S HEALTH INITIATIVE (WHI) REGIONAL CENTER (RC): TASK AREA A AND A275N92021D00002 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WACTAWSKI-WENDE, JEAN · 2021 to 2025
$6.9M
Abdominal adipose tissue depots and cardiometabolic disease risk in postmenopausal womenR01AG055018 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI ODEGAARD, ANDREW OWEN · 2017 to 2020
$1.4M
NHLBI NIH HHS 75N92021D00002NHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018CNIA NIH HHS R01 AG055018
6 · The paper itself

Abstract

introductionVisceral adipose tissue (VAT) is a hypothesized driver of chronic disease. Dual-energy X-ray absorptiometry (DXA) potentially offers a lower cost and more available alternative compared to gold-standard magnetic resonance imaging (MRI) for quantification of abdominal fat sub-compartments, VAT and subcutaneous adipose tissue (SAT). We sought to validate VAT and SAT area (cm METHODOLOGY: Participants (n = 69) from the Women's Health Initiative (WHI) completed a 3 T MRI scan and a whole body DXA scan (Hologic QDR2000 or QDR4500; 2004-2005). A subset of 43 participants were scanned on both DXA devices. DXA-derived VAT and SAT at the 4th lumbar vertebrae (5 cm wide) were analyzed using APEX software (v4.0, Hologic, Inc., Marlborough, MA). MRI VAT and SAT areas for the corresponding DXA region of interest were quantified using sliceOmatic software (v5.0, Tomovision, Magog, Canada). Pearson correlations between MRI and DXA-derived VAT and SAT were computed, and a Bland-Altman analysis was performed.

resultsParticipants were primarily non-Hispanic white (86%) with a mean age of 70.51 ± 5.79 years and a mean BMI of 27.33 ± 5.40 kg/m

conclusionsNew software applied to historic Hologic DXA scans provide estimates of VAT and SAT that are well-correlated with criterion MRI among postmenopausal women.

Indexed as

Intra-Abdominal FatPostmenopauseAbsorptiometry, PhotonAdipose TissueAgedFemaleHumansMagnetic Resonance ImagingMiddle AgedSubcutaneous Fatbody compositionDual-energy X-ray absorptiometrymagnetic resonance imagingsubcutaneous fatvisceral fat

Identifiers

PMID34404568
PMCPMC8799761
OpenAlexW3187833503

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.