Evidence map›Paper›PMID 26796357›Full record

ArticleClinical radiology2016

Making the most of the imaging we have: using head MRI to estimate body composition.

C M Lack, G J Lesser, U N Umesi, J Bowns, M Y Chen, D Case, R C Hightower, A J Johnson

Open access · greenAbstract read
In one paragraph

Article in Clinical radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 100% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Rebranding Nutritional Care for Critically Ill Patients.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2023
    Article
  2. 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

8 authors at 1 institution in 1 country.

C M LackWake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, USA. Electronic address: clack@wakehealth.edu.
G J LesserWake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, USA.
U N UmesiWake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, USA.
J BownsWake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, USA.
M Y ChenWake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, USA.
D CaseWake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, USA.
R C HightowerWake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, USA.
A J JohnsonWake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, USA.
Wake Forest University · US

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
NCI NIH HHS P30 CA012197
6 · The paper itself

Abstract

aimTo investigate the use of clinical head magnetic resonance imaging (MRI) in determining body composition and to evaluate how well it correlates with established measures based on abdominal computed tomography (CT). MATERIALS AND

methodsNinety-nine consecutive patients were identified who had undergone both brain MRI and abdominal CT within a 2-week span. Volumes of fat and muscle in the extracranial head were measured utilising several techniques by both abdominal CT and head MRI.

resultsMRI-based total fat volumes in the head correlated with CT-based measurements of fat in the abdomen using both single-section (r=0.64, p<0.01) and multisection (r=0.60, p<0.01) techniques. No significant correlation was found between muscle volumes in the abdomen and head.

conclusionBased on the present results, head MRI-based measures may provide a useful surrogate for CT measurements of abdominal fat, particularly in patients with neurological cancers, as head MRI (and not abdominal CT) is routinely and repeatedly obtained for the purpose of clinical care for these patients.

Indexed as

Body CompositionMagnetic Resonance ImagingAbdominal FatAdipose TissueAdultAgedAged, 80 and overBrainFemaleHeadHumansMaleMiddle AgedRadiography, AbdominalReproducibility of ResultsTomography, X-Ray Computed

Identifiers

PMID26796357
PMCPMC4772959
OpenAlexW2234583608

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.