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
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
e0211629Subventions
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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