Assessing the diagnostic accuracy of artificial intelligence in post-endovascular aneurysm repair endoleak detection using dual-energy computed tomography angiography.

Purpose: The aim of this study was to evaluate the diagnostic accuracy of an artificial intelligence (AI) tool in detecting endoleaks in patients undergoing endovascular aneurysm repair (EVAR) using dual-energy computed tomography angiography (CTA).

Material And Methods: The study involved 95 patients who underwent EVAR and subsequent CTA follow-up. Dualenergy scans were performed, and images were reconstructed as linearly blended (LB) and 40 keV virtual monoenergetic (VMI) images.

Modeling Exact Frequency-Energy Distribution for Quakes by a Probabilistic Cellular Automaton.

We develop the notion of Random Domino Automaton, a simple probabilistic cellular automaton model for earthquake statistics, in order to provide a mechanistic basis for the interrelation of Gutenberg-Richter law and Omori law with the waiting time distribution for earthquakes. In this work, we provide a general algebraic solution to the inverse problem for the model and apply the proposed procedure to seismic data recorded in the Legnica-Głogów Copper District in Poland, which demonstrate the adequacy of the method. The solution of the inverse problem enables adjustment of the model to localization-dependent seismic properties manifested by deviations from Gutenberg-Richter law.

The influence of contrast enhancement and experience of observers on the assessment of mediastinal lymph nodes in sarcoidosis patients.

Purpose: The aim of this study was to assess the influence of contrast enhancement (CE) and experience of observers on the assessment of chest lymph nodes in patients with sarcoidosis.

Material And Methods: A retrospective analysis of chest lymph nodes on computed tomography (CT) examinations, including CE and non-contrast-enhanced (non-CE) phase, was performed on 40 patients with proven diagnosis of sarcoidosis. Phases were separated, anonymized, and randomized.

Atherosclerosis attacks in patients with psoriasis vulgaris but without a relationship with the severity and course of the disease.

Introduction: In recent years numerous research studies have indicated that chronic inflammation in psoriasis can be associated with an increased risk of developing atherosclerosis.

Aim: The presented study was aimed at demonstrating whether patients suffering from psoriasis vulgaris are at a greater risk of developing atherosclerosis depending on the presence of selected cardiovascular risk factors and the course and severity of the disease.

Material And Methods: Sixty-two patients with diagnosed psoriasis vulgaris and 42 healthy volunteers were included in the study.