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Muscle fat levels on MRI linked to cardiometabolic risk
Using a deep learning model to analyze the composition of large muscles on MRI, German researchers found that the proportions of intermuscular fat and lean muscle mass were associated with high blood pressure and unhealthy lipid and blood sugar levels. Results of the study were published today in Radiology, a journal of the Radiological Society of North America (RSNA). In the retrospective, cross-sectional study, 11,348 participants (56.9% men, median age 43) without any known pre-existing conditions underwent whole-body MRI at five imaging sites. Using a segmentation algorithm-a method used to divide data into meaningful parts or regions based on shared characteristics-they developed, the researchers quantified the amount of intermuscular adipose tissue, or hidden fat, and functional muscle tissue in the paraspinal muscles that run along the spine between the neck and pelvis. Until recently, measuring these features required a time-intensive manual analysis. Skeletal muscle is a major driver of metabolic health, influencing cardiovascular outcomes through multiple pathways, including glucose regulation, energy metabolism, and inflammatory responses, all of which influence cardiovascular health outcomes." Sebastian Ziegelmayer, M.D., lead researcher, associate professor and attending radiologist at Technical University of Munich The participants' cardiometabolic risk factors were collected as part of a prospective, multicenter...