Evidence map›Paper›PMID 34212929›Full record

ArticleActa bio-medica : Atenei Parmensis2021

Assessing visceral and subcutaneous adiposity using segmented T2-MRI and multi-frequency segmental bioelectrical impedance: A sex-based comparative study.

Entesar Dalah, Hayder Hasan, Mohammed Madkour, Abdulmunhem Obaideen, Moez Al-Islam Faris

Open access · greenAbstract read
In one paragraph

Article in Acta bio-medica : Atenei Parmensis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Entesar DalahClinical Support Services and Nursing Sector, Dubai Health Authority, Dubai, UAE, Department of Medical Diagnostic Imaging, College of Health Sciences, University of Sharjah, UAE. edalah@dha.gov.ae.
Hayder HasanDepartment of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, Sharjah, UAE. haidarah@sharjah.ac.ae.
Mohammed MadkourDepartment of Medical Laboratory Sciences, College of Health Sciences, University of Sharjah, Sharjah, UAE . mmadkour@sharjah.ac.ae.
Abdulmunhem ObaideenDepartment of Diagnostic Imaging, University Hospital Sharjah, Sharjah, UAE. abdulmunhem.obaideen@uhs.ae.
Moez Al-Islam FarisDepartment of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, Sharjah, UAE. mfaris@sharjah.ac.ae.
University of Sharjah · AEDubai Health Authority · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimThis study aims to quantify abdominal visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) using T2-weighted magnetic resonance imaging (MRI), and assess the extent of its concordance with VAT surface-area measured by a state-of-the-art segmental multi-frequency bioelectrical impedance analysis (BIA) device. A comparison between manual and semi-automated segmentation was conducted. Further, abdominal VAT and SAT sex-based comparison in healthy Arab adults was piloted.

methodsA cross-sectional design was followed to recruit subjects. Abdominal VAT and SAT were determined on T2-weighted MRI manually and semi-automatically. Body composition was assessed using a BIA machine. Statistical differences between the abdominal VAT areas defined by BIA, manual, and semi-automated MRI were compared. Correlation between all methods was assessed, and statistical differences between sex abdominal VAT/SAT defined areas were compared.

resultsA total of 165 abdominal T2-weighted MR images taken for 55 overweight/obese adult subjects were analyzed Differences between manual and semi-automated MRI-obtained abdominal VAT and SAT were found statistically significant (P<0.001) for all subjects. Mean abdominal VAT using the BIA technique was found to correlate significantly with manually and semi-automated T2-weighted MRI defined VAT (r=0.7436; P<0.001 and r=0.8275; P<0.001, respectively). Abdominal VAT was significantly (P<0.001) different between male and female subjects accumulating at different abdominal levels.

conclusionSemi-automatic segmentation showed a stronger significant correlation with BIA compared to manual segmentation, implying a more reliable quantification of abdominal VAT/SAT. Segmental BIA technique may serve as a feasible and convenient assessment tool for the visceral adiposity in obese subjects.

Indexed as

AdiposityMagnetic Resonance ImagingAdultCross-Sectional StudiesElectric ImpedanceFemaleHumansMaleObesity

Identifiers

PMID34212929
PMCPMC8343720
OpenAlexW3174602412

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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.