Computer-Aided Biomedical Imaging of Periiliac Adipose Tissue Identifies Perivascular Fat as a Marker of Disease Complexity in Patients with Lower Limb Ischemia

• Published in: Applied sciences Vol. 10; no. 13; p. 4456
• Main Authors: Rapolti, Emese, Opincariu, Diana, Benedek, Imre, Kovacs, Istvan, Ratiu, Mihaela, Rat, Nora, Benedek, Theodora
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2020
• Subjects: Abdomen; Adipose tissue; Arteries; Atherosclerosis; Biological markers; Biomarkers; Body fat; Cardiovascular disease; Complexity; Computer aided medical diagnosis; computer-aided imaging; Coronary vessels; Diabetes; Diagnosis; Diagnostic imaging; Fats; Heart attacks; Hypertension; Identification and classification; Imaging techniques; Ischemia; Medical examination; Medical imaging; Methods; Pathophysiology; Patients; periiliac adipose tissue; peripheral artery disease; Regression analysis; Software; Technology application; Tumor necrosis factor-TNF; Romania; Germany

The aim of the study was to develop a semi-automated, computer-aided imaging technique to quantify the amount and distribution of perivascular fat at the level of the iliac arteries (periiliac adipose tissue—PIAT), and to investigate the association of this new computer-aided imaging biomarker with...