Right coronary artery pericoronary fat attenuation index as a future predictor for acute coronary events in nonobstructive coronary artery disease - a prospective single centre study.

Aim: Evaluation of pericoronary adipose tissue changes induced by inflammation by non-invasive techniques is challenging.

Purpose: To find the association between pericoronary adipose tissue attenuation (FAI) changes and future acute coronary events in nonobstructive coronary artery disease.

Materials And Methods: Ours was a single-centre, prospective observational study on patients with atypical chest pain who underwent coronary computed tomography angiography (CCTA).

Basic Statistics for Radiologists: Part 1-Basic Data Interpretation and Inferential Statistics.

A systematic approach to statistical analysis is essential for accurate data interpretation and informed decision-making in the rapidly evolving field of radiology. This review provides a comprehensive overview of the fundamental statistical concepts for radiologists and clinicians. The first part of this series introduces foundational elements such as data types, distributions, descriptive and inferential statistics, hypothesis testing, and sampling methods.

Statistics Primer for Radiologists: Part 2-Advanced statistics for Enhancing Diagnostic Precision and Research Validity.

Second part of this statistics primer focuses on advanced statistical concepts continuing on the foundation of basic statistics built from the first part of this primer. This advanced primer aims to delve deeper into essential statistical concepts beyond the basics, equipping the reader with the knowledge to effectively analyze complex data sets, explore correlations and causality, employ regression analysis techniques, interpret survival curves, and evaluate diagnostic tests rigorously. It primarily focuses on the statistical tests used to analyze the relationship between groups of variables (the statistical tests to analyze the difference between groups of variables was discussed in the part 1 of this series).

Imaging and endovascular management of haemoptysis in congenital heart disease.

Haemoptysis, a rare but serious complication that can arise in patients with congenital heart disease, necessitates prompt diagnosis and specialized care. The radiologist plays a critical role in this scenario, including identifying the source of haemoptysis, devising treatment plans, and delivering endovascular interventions. This article highlights the importance of imaging techniques, especially computed tomography, in identifying the cause of haemoptysis and the therapeutic value of endovascular interventions.

Evaluation of multiple deep neural networks for detection of intracranial dural arteriovenous fistula on susceptibility weighted angiography imaging.

Background: The natural history of intracranial dural arteriovenous fistula (DAVF) is variable and early diagnosis is crucial in order to positively impact the clinical course of aggressive DAVF. Artificial intelligence (AI) based techniques can be promising in this regard, and in this study, we used various deep neural network (DNN) architectures to determine whether DAVF could be reliably identified on susceptibility-weighted angiography images (SWAN).

Materials And Methods: A total of 3965 SWAN image slices from 30 digital subtraction angiographically proven DAVF patients and 4380 SWAN image slices from 40 age-matched patients with normal MRI findings as control group were included.