Evidence map›Paper›PMID 27662190›Full record

ArticlePloS one

Feasibility of MR-Based Body Composition Analysis in Large Scale Population Studies.

Janne West, Olof Dahlqvist Leinhard, Thobias Romu, Rory Collins, Steve Garratt, Jimmy D Bell, Magnus Borga, Louise Thomas

3 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in PloS one. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 89 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 3 pooled it
4.7field-weighted citation impact, top 5% 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.

NCT03294850 nacompletednot on this map

Evaluation of Biomarkers to Quantify Liver Pathology in Patients With Presumed Non-Alcoholic Steatohepatitis at Baseline and Following Bariatric Surgery (BARI)

TypeinterventionalSponsorAdventHealth Translational Research InstituteRan2018 to 2020Enrolled14ConditionsNASH - Nonalcoholic Steatohepatitis, NAFLD - Nonalcoholic Fatty Liver DiseaseArmsBariatric surgery, HepQuant SHUNT Dual Cholate Liver Diagnostic Kit
NCT05184283 terminatednot on this map

Longitudinal Assessment of Muscle Health in Patients Undergoing Liver Transplantation (LT) for Hepatocellular Carcinoma (HCC)

TypeobservationalSponsorColumbia UniversityRan2022 to 2023Enrolled11ConditionsNAFLD, Hepatocellular Carcinoma, Liver Diseases, Liver Cancer
NCT05477277 narecruitingnot on this map

Adverse Outcomes and Mortality in Liver Transplant

TypeinterventionalSponsorMayo ClinicRan2022 to 2027Enrolled100ConditionsEnd Stage Liver DIsease, Sarcopenia, Sarcopenic Obesity, CirrhosisArmsMAsS
3 · Its place in the literature

Who cites it

89 citing papers in PubMed, 3 syntheses or guidelines pooled it, 154 citations in OpenAlex.

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29 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 2 countries.

Janne WestDepartment of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Olof Dahlqvist LeinhardDepartment of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Thobias RomuCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Rory CollinsNuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Steve GarrattUK Biobank, Stockport, United Kingdom.
Jimmy D BellResearch Centre for Optimal Health, Department of Life Sciences, Faculty of Science and Technology, University of Westminster, London, United Kingdom.
Magnus BorgaCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Louise ThomasResearch Centre for Optimal Health, Department of Life Sciences, Faculty of Science and Technology, University of Westminster, London, United Kingdom.
Linköping University · SEUniversity of Westminster · GBUK Biobank · GBUniversity of Oxford · GB

Funding

Medical Research Council MC_QA137853Medical Research Council MC_U120061305
6 · The paper itself

Abstract

introductionQuantitative and accurate measurements of fat and muscle in the body are important for prevention and diagnosis of diseases related to obesity and muscle degeneration. Manually segmenting muscle and fat compartments in MR body-images is laborious and time-consuming, hindering implementation in large cohorts. In the present study, the feasibility and success-rate of a Dixon-based MR scan followed by an intensity-normalised, non-rigid, multi-atlas based segmentation was investigated in a cohort of 3,000 subjects. MATERIALS AND

methods3,000 participants in the in-depth phenotyping arm of the UK Biobank imaging study underwent a comprehensive MR examination. All subjects were scanned using a 1.5 T MR-scanner with the dual-echo Dixon Vibe protocol, covering neck to knees. Subjects were scanned with six slabs in supine position, without localizer. Automated body composition analysis was performed using the AMRA Profiler™ system, to segment and quantify visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue (ASAT) and thigh muscles. Technical quality assurance was performed and a standard set of acceptance/rejection criteria was established. Descriptive statistics were calculated for all volume measurements and quality assurance metrics.

resultsOf the 3,000 subjects, 2,995 (99.83%) were analysable for body fat, 2,828 (94.27%) were analysable when body fat and one thigh was included, and 2,775 (92.50%) were fully analysable for body fat and both thigh muscles. Reasons for not being able to analyse datasets were mainly due to missing slabs in the acquisition, or patient positioned so that large parts of the volume was outside of the field-of-view. DISCUSSION AND

conclusionsIn conclusion, this study showed that the rapid UK Biobank MR-protocol was well tolerated by most subjects and sufficiently robust to achieve very high success-rate for body composition analysis. This research has been conducted using the UK Biobank Resource.

Identifiers

PMID27662190
PMCPMC5035023
OpenAlexW2523241820

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.