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


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 05 07 2018
accepted: 17 01 2019
entrez: 8 2 2019
pubmed: 8 2 2019
medline: 13 11 2019
Statut: epublish

Résumé

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.

Identifiants

pubmed: 30730923
doi: 10.1371/journal.pone.0211629
pii: PONE-D-18-19897
pmc: PMC6366874
doi:

Banques de données

ClinicalTrials.gov
['NCT02308228']

Types de publication

Clinical Trial Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0211629

Subventions

Organisme : RRD VA
ID : I01 RX001203
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG046920
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001998
Pays : United States

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Douglas E Long (DE)

College of Health Sciences and Center for Muscle Biology, University of Kentucky, Lexington, KY, United States of America.

Alejandro G Villasante Tezanos (AG)

College of Arts and Sciences, Department of Statistics, University of Kentucky, Lexington, KY, United States of America.

James N Wise (JN)

College of Medicine, Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America.

Philip A Kern (PA)

Department of Internal Medicine, Division of Endocrinology, and Barnstable Brown Diabetes and Obesity Center, University of Kentucky, Lexington, KY, United States of America.

Marcas M Bamman (MM)

Center for Exercise Medicine and Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, AL, United States of America.

Charlotte A Peterson (CA)

College of Health Sciences and Center for Muscle Biology, University of Kentucky, Lexington, KY, United States of America.

Richard A Dennis (RA)

Geriatric Research, Education and Clinical Center, Central Arkansas Veterans Healthcare System, North Little Rock, AR, United States of America.
Donald W Reynolds Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America.

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