👤 Authors: Anna Zapaishchykova, John Zielke, Divyanshu Tak, Juan Carlos Climent Pardo, Reza Mojahed-Yazdi, Carmen L Soto-Rivera, Kevin X Liu, Anurag Saraf, Zezhong Ye, Wei Wang, Yu-Hui Chen, Sridhar Vajapeyam, Raymond H Mak, Sabine Mueller, Ali Nabavizadeh, Rebekah L Wilson, Christina M Dieli-Conwright, Keith L Ligon, Daphne A Haas-Kogan, Hugo J W L Aerts, Tina Y Poussaint, Viviana Benitez, Susan N Chi, Benjamin H Kann
Artificial intelligence analysis of temporalis muscle thickness for monitoring sarcopenia and clinical outcomes in individuals with paediatric brain tumours: a retrospective cohort study.
BACKGROUND
People with and who have survived paediatric brain tumour (PBT) have a poor quality of life due to physiological frailty, a primary component of which is sarcopenia (ie, low lean muscle mass) and the associated condition, sarcopenic overweight. MRI-based temporalis muscle thickness (TMT) is an image-derived biomarker for lean muscle, frailty, and survival in adult cancers.
Here, we evaluated artificial intelligence-based TMT measurements (iTMT) to track sarcopenia in people with PBT at scale and identify trends, risk factors, and associations with morbidity and mortality.
METHODS
We conducted the secondary analyses of three cohorts (one prospective trial and two retrospective databases). iTMT was applied to all MRIs from diagnosis until the last follow-up or tumour recurrence to generate longitudinal, patient-level iTMT percentile curves.
We investigated the rates of iTMT-defined sarcopenia (iTMT <15th percentile) and sarcopenic overweight (iTMT 85th percentile) and associations with physical functioning (Pediatric Quality of Life Inventory [PedsQoL] version 4.0), endocrine disorders, and survival via multivariable analyses, using generalised additive models for longitudinal data.
FINDINGS
From all three databases, there were 5661 MRIs from 881 individuals. Of 730 patients with linked iTMT and weight (mean age 13·4 [SD 5·8]), 531 (73%) developed iTMT sarcopenia and 215 (29%) developed sarcopenic overweight at least once (median time: 5·1 years [IQR 1·4-10·6]).
Of those with sarcopenia, 294 (55·4%) had normal weight and 153 (28·8%) were overweight or obese at time of sarcopenia. Radiotherapy was associated with iTMT sarcopenic overweight (p<0·0001), with the highest risk in craniospinal radiotherapy (p=0·013).
iTMT sarcopenia was associated with poor physical functioning (p=0·058) and endocrine disorder diagnosis (p=0·035) in survivorship. In high-grade glioma, iTMT sarcopenia at diagnosis was associated with worse survival (log-rank p=0·046).
INTERPRETATION
iTMT sarcopenia is an image-derived biomarker for morbidity and mortality in people with and who have survived PBT that is common and cannot be reliably predicted by BMI.
Incorporating iTMT into practice would enable the routine monitoring of sarcopenia and help triage individuals for supportive interventions to mitigate sarcopenia and associated morbidity.
FUNDING
National Institutes of Health/National Cancer Institute, and Botha-Chan Low-Grade Glioma Consortium, St Baldrick’s Research Foundation.
