Automated temporalis muscle quantification and growth charts for children through adulthood
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Published:2023-11-09
Issue:1
Volume:14
Page:
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ISSN:2041-1723
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Container-title:Nature Communications
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language:en
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Short-container-title:Nat Commun
Author:
Zapaishchykova AnnaORCID, Liu Kevin X., Saraf Anurag, Ye Zezhong, Catalano Paul J., Benitez Viviana, Ravipati YashwanthORCID, Jain Arnav, Huang Julia, Hayat Hasaan, Likitlersuang Jirapat, Vajapeyam SridharORCID, Chopra Rishi B., Familiar Ariana M.ORCID, Nabavidazeh Ali, Mak Raymond H.ORCID, Resnick Adam C., Mueller SabineORCID, Cooney Tabitha M., Haas-Kogan Daphne A.ORCID, Poussaint Tina Y., Aerts Hugo J.W.L.ORCID, Kann Benjamin H.ORCID
Abstract
AbstractLean muscle mass (LMM) is an important aspect of human health. Temporalis muscle thickness is a promising LMM marker but has had limited utility due to its unknown normal growth trajectory and reference ranges and lack of standardized measurement. Here, we develop an automated deep learning pipeline to accurately measure temporalis muscle thickness (iTMT) from routine brain magnetic resonance imaging (MRI). We apply iTMT to 23,876 MRIs of healthy subjects, ages 4 through 35, and generate sex-specific iTMT normal growth charts with percentiles. We find that iTMT was associated with specific physiologic traits, including caloric intake, physical activity, sex hormone levels, and presence of malignancy. We validate iTMT across multiple demographic groups and in children with brain tumors and demonstrate feasibility for individualized longitudinal monitoring. The iTMT pipeline provides unprecedented insights into temporalis muscle growth during human development and enables the use of LMM tracking to inform clinical decision-making.
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary
Reference82 articles.
1. Zillikens, M. C. et al. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nat. Commun. 8, 80 (2017). 2. Goodenough, C. G., Partin, R. E. & Ness, K. K. Skeletal muscle and childhood cancer: where are we now and where we go from here. Aging Cancer 2, 13–35 (2021). 3. Oliveira, E. A., Cheung, W. W., Toma, K. G. & Mak, R. H. Muscle wasting in chronic kidney disease. Pediatr. Nephrol. 33, 789–798 (2018). 4. Cruz-Jentoft, A. J. & Sayer, A. A. Sarcopenia. Lancet 393, 2636–2646 (2019). 5. Wicks, S. M., Salamon, I., Calderon, A. I., Carcache de Blanco, E. J. & Mahady, G. B. Chapter 23—Sarcopenia, Diabetes, and Nutritional Intervention. in Nutritional and Therapeutic Interventions for Diabetes and Metabolic Syndrome (Second Edition) (eds. Bagchi, D. & Nair, S.) 279–292 (Academic Press). https://doi.org/10.1016/B978-0-12-812019-4.00023-4. (2018).
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