The prognostic value of sarcopenia in acute myeloid leukemia patients and the development and validation of a novel nomogram for predicting survival

Q Sun, J Cui, W Liu, J Li, M Hong, S Qian - Frontiers in oncology, 2022 - frontiersin.org
Background Acute myeloid leukemia (AML) occurs frequently in the elderly, of whom the
prognosis is dismal. Sarcopenia is a progressive and generalized skeletal muscle disorder …

Estimation of absolute and relative body fat content using noninvasive surrogates: can DXA be bypassed?

DJ Greenblatt, CD Bruno, JS Harmatz… - The Journal of …, 2023 - Wiley Online Library
Dual‐energy x‐ray absorptiometry (DXA) scanning is used for objective determination of
body composition, but instrumentation is expensive and not generally available in customary …

Body Fat Estimation from Surface Meshes Using Graph Neural Networks

TT Mueller, S Zhou, S Starck, F Jungmann… - … Workshop on Shape in …, 2023 - Springer
Body fat volume and distribution can be a strong indication for a person's overall health and
the risk for developing diseases like type 2 diabetes and cardiovascular diseases …

Estimation of lean soft tissue by dual-energy X-ray absorptiometry as a surrogate for muscle mass in health, obesity, and sarcopenia

CLP Oliveira, AP Pagano, MC Gonzalez… - … Assessments of Form …, 2023 - Springer
Dual-energy X-ray absorptiometry (DXA) is a three-compartment, molecular-level method of
body composition assessment widely available in clinical settings. It measures lean soft …

Performance of bioelectrical impedance and anthropometric predictive equations for estimation of muscle mass in chronic kidney disease patients

NT Bellafronte, L Vega-Piris, GB Cuadrado… - Frontiers in …, 2021 - frontiersin.org
Background: Patients with chronic kidney disease (CKD) are vulnerable to loss of muscle
mass due to several metabolic alterations derived from the uremic syndrome. Reference …

Revisiting the beyond BMI paradigm in excess weight diagnosis and management: A call to action

M Aguas‐Ayesa, P Yárnoz‐Esquiroz… - European Journal of …, 2024 - Wiley Online Library
Adolphe Quételet, a 19th‐century Belgian sociologist and statistician, pioneered the
incorporation of statistics into social sciences. He initiated the development of anthropometry …

Bioelectrical Impedance Vector Analysis, Nutritional Ultrasound®, and Handgrip Strength as Innovative Methods for Monitoring Critical Anorexia Nervosa Physical …

JM Romero-Márquez, M Novo-Rodríguez… - Nutrients, 2024 - mdpi.com
Eating disorders (EDs) manifest as persistent disruptions in eating habits or related
behaviors, significantly impacting physical health and psychosocial well-being. Nutritional …

Machine learning prediction of hepatic steatosis using body composition parameters: A UK Biobank Study

DAT Boncan, Y Yu, M Zhang, J Lian, V Vardhanabhuti - npj Aging, 2024 - nature.com
Non-alcoholic fatty liver disease (NAFLD) has emerged as the most prevalent chronic liver
disease worldwide, yet detection has remained largely based on surrogate serum …

Machine learning across multiple imaging and biomarker modalities in the UK Biobank improves genetic discovery for liver fat accumulation

H Somineni, S Mukherjee, D Amar, J Pei, K Guo… - medRxiv, 2024 - medrxiv.org
Metabolic dysfunction-associated steatotic liver disease (MASLD), liver with more than 5.5%
fat content, is a leading risk factor for chronic liver disease with an estimated worldwide …

Agaricus bisporus Extract Exerts an Anti-Obesity Effect in High-Fat Diet-Induced Obese C57BL/6N Mice by Inhibiting Pancreatic Lipase-Mediated Fat Absorption

H Kim, YE Jeon, SM Kim, JI Jung, D Ko, EJ Kim - Nutrients, 2023 - mdpi.com
Agaricus bisporus is well known as a source of polysaccharides that could improve human
health. The objective of this study was to explore the anti-obesity effect of A. bisporus extract …