Evidence map›Paper›PMID 30730923›Full record

Trial reportPloS one2019

A guide for using NIH Image J for single slice cross-sectional area and composition analysis of the thigh from computed tomography.

Douglas E Long, Alejandro G Villasante Tezanos, James N Wise, Philip A Kern, Marcas M Bamman, Charlotte A Peterson, Richard A Dennis

2 registry-linked trialsAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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.

NCT02261961 nacompletednot on this map

Immune Function and Muscle Adaptations to Resistance Exercise in Older Adults

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2014 to 2019Enrolled59ConditionsSarcopenia, Aging, Immune FunctionArmsTDAP, Acute Resistance Exercise, Resistance Exercise Training, Post-training Follow-up, Nutritional Supplement (Muscle Armor)
NCT02308228 early_phase1completednot on this map

Novel Actions of Metformin to Augment Resistance Training Adaptations in Older Adults

TypeinterventionalSponsorPhilip KernRan2015 to 2018Enrolled109ConditionsAgingArmsProgressive Resistance Training, Metformin
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Douglas E LongCollege of Health Sciences and Center for Muscle Biology, University of Kentucky, Lexington, KY, United States of America.ORCID 0000-0002-6770-5764
Alejandro G Villasante TezanosCollege of Arts and Sciences, Department of Statistics, University of Kentucky, Lexington, KY, United States of America.ORCID 0000-0001-5108-8637
James N WiseCollege of Medicine, Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America.
Philip A KernDepartment of Internal Medicine, Division of Endocrinology, and Barnstable Brown Diabetes and Obesity Center, University of Kentucky, Lexington, KY, United States of America.ORCID 0000-0002-4761-7417
Marcas M BammanCenter for Exercise Medicine and Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, AL, United States of America.ORCID 0000-0002-5017-5453
Charlotte A PetersonCollege of Health Sciences and Center for Muscle Biology, University of Kentucky, Lexington, KY, United States of America.
Richard A DennisGeriatric Research, Education and Clinical Center, Central Arkansas Veterans Healthcare System, North Little Rock, AR, United States of America.

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
Novel Actions of Metformin to Augment Resistance Training Adaptations in Older AdR01AG046920 · NIA · UNIVERSITY OF KENTUCKY · PI BAMMAN, MARCAS M, KERN, PHILIP A · 2014 to 2018
$2.9M
Immune Function and Muscle Adaptations to Resistance Exercise in Older AdultsI01RX001203 · VA · CENTRAL ARKANSAS VETERANS HLTHCARE SYS · PI DENNIS, RICHARD A. · 2015 to 2018
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NCATS NIH HHS UL1 TR001998NIA NIH HHS R01 AG046920RRD VA I01 RX001203
6 · The paper itself

Abstract

Reports using computed tomography (CT) to estimate thigh skeletal muscle cross-sectional area and mean muscle attenuation are often difficult to evaluate due to inconsistent methods of quantification and/or poorly described analysis methods. This CT tutorial provides step-by-step instructions in using free, NIH Image J software to quantify both muscle size and composition in the mid-thigh, which was validated against a robust commercially available software, SliceOmatic. CT scans of the mid-thigh were analyzed from 101 healthy individuals aged 65 and older. Mean cross-sectional area and mean attenuation values are presented across seven defined Hounsfield unit (HU) ranges along with the percent contribution of each region to the total mid-thigh area. Inter-software correlation coefficients ranged from R2 = 0.92-0.99 for all specific area comparisons measured using the Image J method compared to SliceOmatic. We recommend reporting individual HU ranges for all areas measured. Although HU range 0-100 includes the majority of skeletal muscle area, HU range -29 to 150 appears to be the most inclusive for quantifying total thigh muscle. Reporting all HU ranges is necessary to determine the relative contribution of each, as they may be differentially affected by age, obesity, disease, and exercise. This standardized operating procedure will facilitate consistency among investigators reporting computed tomography characteristics of the thigh on single slice images. Trial Registration: ClinicalTrials.gov NCT02308228.

Indexed as

AgedAged, 80 and overFemaleHumansMaleMiddle AgedMuscle, SkeletalSoftwareThighTomography, X-Ray Computed

Identifiers

PMID30730923
PMCPMC6366874

What OpenQuestion holds

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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.