Purpose The purpose of this study is to compare fully automated CT-based measures of
adipose tissue at the L1 level versus the standard L3 level for predicting mortality, which …

Importance The association between body composition (BC) and cancer outcomes is
complex and incompletely understood. Previous research in non–small-cell lung cancer …

Metabolic syndrome refers to the cluster of cardiometabolic risk factors affecting individuals
who are overweight that includes dyslipidemia, hypertension, and glucose intolerance. Of …

Artificial intelligence tools in radiology practices have surged, with modules developed to
target specific findings becoming increasingly prevalent and proving valuable in the daily …

Objective Assess automated CT imaging biomarkers in patients who went on to hip fracture,
compared with controls. Methods In this retrospective case-control study, 6926 total patients …

Abstract Background & Aims Body composition assessment (BCA) parameters have recently
been identified as relevant prognostic factors for patients with hepatocellular carcinoma …

Background Computed tomography (CT) body compositions reflect age‐related metabolic
derangements. We aimed to develop a multi‐outcome deep learning model using CT multi …

Hintergrund Die vorliegende Arbeit stellt die quantitative Erfassung der
Gewebezusammensetzung im menschlichen Körper (Body Composition) mit den Mitteln der …

Muscle wasting in chronic kidney disease is associated with increased cardiovascular
events, morbidity, and mortality. However, whether pretransplantation skeletal muscle mass …

BACKGROUND. Splenomegaly historically has been assessed on imaging by use of
potentially inaccurate linear measurements. Prior work tested a deep learning artificial …