Machine learning analysis of adrenal lesions: preliminary study evaluating texture analysis in the differentiation of adrenal lesions.

Purpose: This study aimed to determine the accuracy of texture analysis in differentiating adrenal lesions on unenhanced computed tomography (CT) images.

Methods: In this single-center retrospective study, 166 adrenal lesions in 140 patients (64 women, 76 men; mean age 56.58 ± 13.

Adiponectin levels in gestational diabetes mellitus and in pregnant women without glucose intolerance.

Objectives: The aim of the study was to determine serum adiponectin levels among patients with gestational diabetes mellitus (GDM) and normal pregnant women without glucose intolerance, and to investigate the relationship between these levels and clinical factors at the time of the diagnosis, at delivery and in the post-partum period.

Material And Methods: The subjects' serum adiponectin concentration was measured using the enzyme-linked immunosorbent assay (ELISA) method at 24th-28th week of gestation, at delivery (in maternal circulation and the umbilical cord) and 24 h after delivery. The relationship between these groups' measurements and other established clinical-laboratory factors were investigated.