Automated temporalis muscle quantification and growth charts for children through adulthood.
Automated temporalis muscle quantification and growth charts for children through adulthood.
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成年后，儿童自动化的颞肌量化和生长图。
DOI：
10.1038/s41467-023-42501-1
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发表时间：
2023-11-09
影响因子：
16.6
通讯作者：
Kann, Benjamin H.
中科院分区：
文献类型：
--
作者：
Zapaishchykova, Anna;Liu, Kevin X.;Saraf, Anurag;Ye, Zezhong;Catalano, Paul J.;Benitez, Viviana;Ravipati, Yashwanth;Jain, Arnav;Huang, Julia;Hayat, Hasaan;Likitlersuang, Jirapat;Vajapeyam, Sridhar;Chopra, Rishi B.;Familiar, Ariana M.;Nabavidazeh, Ali;Mak, Raymond H.;Resnick, Adam C.;Mueller, Sabine;Cooney, Tabitha M.;Haas-Kogan, Daphne A.;Poussaint, Tina Y.;Aerts, Hugo J. W. L.;Kann, Benjamin H.
Lean 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. Temporalis muscle thickness is a promising marker of lean muscle mass but has had limited utility due to its unknown normal growth trajectory and lack of standardized measurement. Here, the authors develop an automated deep learning pipeline to accurately measure temporalis muscle thickness from routine brain magnetic resonance imaging.
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影响因子：
64.8
作者：
通讯作者：
--
患有慢性肝病的儿童和青少年的肌肉减少症。
影响因子：
3.3
作者：
Bonfim Rezende, Ionar Figueredo;Conceicao-Machado, Maria Ester P.;Souza, Viviane Sahade;dos Santos, Elisana M.;Silva, Luciana R.
通讯作者：
Silva, Luciana R.
影响因子：
2.6
作者：
Cook, Stephen;Kavey, Rae Ellen W.
通讯作者：
Kavey, Rae Ellen W.
影响因子：
7.1
作者：
Corvalan, Camila;Uauy, Ricardo;Mericq, Veronica
通讯作者：
Mericq, Veronica
影响因子：
3.6
作者：
Campanozzi, Angelo;Dabbas, Myriam;Goulet, Olivier
通讯作者：
Goulet, Olivier