Prognostic impact of sarcopenia in children with cancer: a focus on the psoas muscle area (PMA) imaging in the clinical practice.
Silvia TriaricoEmanuele RinninellaMaria Cristina MeleCintoni MarcoGiorgio AttinàAntonio RuggieroPublished in: European journal of clinical nutrition (2021)
Skeletal muscle plays a crucial part in the metabolic and inflammatory response. "Sarcopenia", defined as a pathological condition of reduced strength, quantity and quality of skeletal muscle mass, may often develop in the young age as the secondary consequence of a systemic inflammatory illness, like cancer. In children with cancer, sarcopenia is a common finding, playing a negative role in their prognosis. However, its prevalence in clinical practice is underestimated. Moreover, several pre- and post-natal factors may influence skeletal muscle development in childhood, making the issue more complex. Given the frequent use of radiological imaging in clinical practice, prompt analysis of body composition is feasible and able to detect the presence of reduced fat-free mass (FFM) among pediatric patients with cancer. We discuss the recent advances in the study of body composition in children with cancer, dissecting the role of the psoas muscle area (PMA) measure, obtained from computerized tomography (CT) or magnetic resonance images (MRI) as a marker of sarcopenia in this setting. Since age and sex-specific percentile curves for PMA and a PMA z-scores calculator are available online, such a tool may be useful to simply detect and treat sarcopenia and its consequences in childhood cancer.
Keyphrases
- skeletal muscle
- body composition
- childhood cancer
- young adults
- clinical practice
- papillary thyroid
- magnetic resonance
- squamous cell
- inflammatory response
- insulin resistance
- resistance training
- bone mineral density
- high resolution
- healthcare
- adipose tissue
- contrast enhanced
- magnetic resonance imaging
- computed tomography
- squamous cell carcinoma
- deep learning
- lymph node metastasis
- machine learning
- lipopolysaccharide induced
- oxidative stress
- quality improvement
- high intensity
- clinical decision support
- postmenopausal women