Prediction of total and regional body composition from 3D body shape

Authors

• Chexuan Qiao, University of Cambridge, Cambridge, UK
• Emanuella De Lucia Rolfe, Cambridge Biomedical Campus, Cambridge, UK
• Ethan Mak, University of Cambridge, Cambridge, UK
• Akash Sengupta, University of Cambridge, Cambridge, UK
• Richard Powell, Cambridge Biomedical Campus, Cambridge, UK
• Laura P E Watson
• Steven B. Heymsfield, Pennington Biomedical Research Center, Baton Rouge, LA
• John A. Shepherd
• Nicholas Wareham, Cambridge Biomedical Campus, Cambridge, UK
• Soren Brage, Cambridge Biomedical Campus, Cambridge, UK
• Roberto Cipolla, University of Cambridge, Cambridge, UK

Document Type

Article

Publication Date

10-23-2024

Publication Title

npj Digital Medicine

Abstract

Accurate assessment of body composition is essential for evaluating the risk of chronic disease. 3D body shape, obtainable using smartphones, correlates strongly with body composition. We present a novel method that fits a 3D body mesh to a dual-energy X-ray absorptiometry (DXA) silhouette (emulating a single photograph) paired with anthropometric traits, and apply it to the multi-phase Fenland study comprising 12,435 adults. Using baseline data, we derive models predicting total and regional body composition metrics from these meshes. In Fenland follow-up data, all metrics were predicted with high correlations (r > 0.86). We also evaluate a smartphone app which reconstructs a 3D mesh from phone images to predict body composition metrics; this analysis also showed strong correlations (r > 0.84) for all metrics. The 3D body shape approach is a valid alternative to medical imaging that could offer accessible health parameters for monitoring the efficacy of lifestyle intervention programmes.

First Page

1

Last Page

12

DOI

10.1038/s41746-024-01289-0

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Qiao, Chexuan; De Lucia Rolfe, Emanuella; Mak, Ethan; Sengupta, Akash; Powell, Richard; Watson, Laura P E; Heymsfield, Steven B.; Shepherd, John A.; Wareham, Nicholas; Brage, Soren; and Cipolla, Roberto, "Prediction of total and regional body composition from 3D body shape" (2024). LSU-LCMC Cancer Center Faculty Publications. 147.
https://digitalscholar.lsuhsc.edu/llcc_facpubs/147
10.1038/s41746-024-01289-0