Wednesday, December 4 | 10:06 a.m.-10:18 a.m. | W3-SSIN05-04 | Room E351
3D body composition analysis on whole-body MRI exams can be prognostic for mortality risk in the general population, according to this scientific presentation.
“As 3D [body composition] measures are increasingly accessible using automated techniques, they could help to identify high-risk individuals to improve personalized prevention and lifestyle interventions,” wrote researchers led by Matthias Jung, MD, of University Medical Center Freiburg in Germany.
Although 2D body composition measures have been shown to be associated with clinical outcomes in patients with cardiometabolic disease and cancer, it’s unknown if 3D body composition analysis could offer prognostic value for predicting mortality in the general population, according to researchers led by Matthias Jung, MD, of University Medical Center Freiburg in Germany.
As a result, the team used data from the UK Biobank and the German National Cohort to develop a deep-learning framework that could automatically quantify 3D body composition on whole-body MRI. In testing, several 3D measures – skeletal muscle, skeletal muscle fat fraction, and intramuscular adipose tissue – were independently associated with mortality.
The same association was not found when using 2D body composition metrics, even though they correlated highly with 3D measures. What else did the researchers find? Stop by this Wednesday morning talk to learn more.