作者
Anna Zapaishchykova, Divyanshu Tak, Zezhong Ye, Sridhar Vajapeyam, Ceilidh Smith, Kevin X Liu, Hugo JWL Aerts, Susan N Chi, Daphne A Haas-Kogan, Ali Nabavizadeh, Ariana Familiar, Sabine Mueller, Tina Y Poussaint, Benjamin H Kann
发表日期
2024/6
期刊
Neuro-Oncology
卷号
26
期号
Suppl 4
页码范围
0
出版商
Oxford University Press
简介
BACKGROUND
Sarcopenia, or lean muscle loss, causes morbidity and early mortality in pediatric cancer patients and survivors. Sarcopenic patients who are also obese have a particularly morbid metabolic condition that cannot be identified by body mass index (BMI) alone. Temporalis muscle thickness (TMT) on T1-weighted MRI provides a direct assessment of lean muscle mass. In this study, we determined how TMT was associated with nutritional and survival outcomes in children with gliomas using an automated deep-learning pipeline that calculates TMT on MRI and provides age-and sex-specific TMT percentiles (iTMT).
METHODS
We analyzed a cohort of 343 patients and 1,673 scans (244 low-grade gliomas (LGG) and 99 high-grade gliomas (HGG)) diagnosed between 2000-2023 at Boston Children’s Hospital/Dana-Farber Cancer Institute, who had linked longitudinal MRI and clinical data available. We …
学术搜索中的文章
A Zapaishchykova, D Tak, Z Ye, S Vajapeyam, C Smith… - Neuro-Oncology, 2024