A pose-independent method for accurate and precise body composition from 3D optical scans.
Journal
Obesity (Silver Spring, Md.)
ISSN: 1930-739X
Titre abrégé: Obesity (Silver Spring)
Pays: United States
ID NLM: 101264860
Informations de publication
Date de publication:
11 2021
11 2021
Historique:
revised:
21
06
2021
received:
22
03
2021
accepted:
22
06
2021
pubmed:
23
9
2021
medline:
15
12
2021
entrez:
22
9
2021
Statut:
ppublish
Résumé
The aim of this study was to investigate whether digitally re-posing three-dimensional optical (3DO) whole-body scans to a standardized pose would improve body composition accuracy and precision regardless of the initial pose. Healthy adults (n = 540), stratified by sex, BMI, and age, completed whole-body 3DO and dual-energy X-ray absorptiometry (DXA) scans in the Shape Up! Adults study. The 3DO mesh vertices were represented with standardized templates and a low-dimensional space by principal component analysis (stratified by sex). The total sample was split into a training (80%) and test (20%) set for both males and females. Stepwise linear regression was used to build prediction models for body composition and anthropometry outputs using 3DO principal components (PCs). The analysis included 472 participants after exclusions. After re-posing, three PCs described 95% of the shape variance in the male and female training sets. 3DO body composition accuracy compared with DXA was as follows: fat mass R Re-posed 3DO body shape PCs produced more accurate and precise body composition models that may be used in clinical or nonclinical settings when DXA is unavailable or when frequent ionizing radiation exposure is unwanted.
Identifiants
pubmed: 34549543
doi: 10.1002/oby.23256
pmc: PMC8570991
mid: NIHMS1722502
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
1835-1847Subventions
Organisme : NIDDK NIH HHS
ID : R01 DK109008
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK111698
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD082166
Pays : United States
Informations de copyright
© 2021 The Obesity Society.
Références
Lancet. 1986 Feb 8;1(8476):307-10
pubmed: 2868172
Med Phys. 2020 Dec;47(12):6232-6245
pubmed: 32978970
Clin Nutr ESPEN. 2019 Oct;33:279-282
pubmed: 31451267
Eur J Appl Physiol. 2001 Aug;85(3-4):264-71
pubmed: 11560080
Obesity (Silver Spring). 2006 Feb;14(2):336-41
pubmed: 16571861
Nature. 2006 Dec 14;444(7121):881-7
pubmed: 17167477
Am J Clin Nutr. 2019 Dec 1;110(6):1316-1326
pubmed: 31553429
Obesity (Silver Spring). 2019 Nov;27(11):1738-1749
pubmed: 31689009
Am J Clin Nutr. 2012 Jan;95(1):25-31
pubmed: 22134952
Eur J Clin Nutr. 2018 May;72(5):680-687
pubmed: 29748657
JAMA. 2018 Apr 24;319(16):1723-1725
pubmed: 29570750
Am J Clin Nutr. 2017 Jan;105(1):1-2
pubmed: 28003202
Eur J Clin Nutr. 2017 Nov;71(11):1329-1335
pubmed: 28876331
Arch Intern Med. 2010 Aug 9;170(15):1293-301
pubmed: 20696950
PLoS One. 2019 Mar 20;14(3):e0214029
pubmed: 30893355
J Clin Endocrinol Metab. 2004 Jun;89(6):2595-600
pubmed: 15181029
Int J Body Compos Res. 2010;8(2):45-50
pubmed: 21318088
Eur J Clin Nutr. 2020 Jun;74(6):920-929
pubmed: 31551533
Obes Res. 2005 May;13(5):845-54
pubmed: 15919837
PLoS One. 2018 Jul 12;13(7):e0200465
pubmed: 30001381
J Clin Densitom. 2013 Oct-Dec;16(4):520-36
pubmed: 24183641
Osteoporos Int. 1995;5(4):262-70
pubmed: 7492865
N Engl J Med. 2003 Apr 24;348(17):1625-38
pubmed: 12711737
Eur J Clin Nutr. 2016 Nov;70(11):1265-1270
pubmed: 27329614
Clin Dermatol. 2004 Jul-Aug;22(4):276-80
pubmed: 15475226