Influences on safety of intrapartum electronic fetal heart rate monitoring practices: a scoping review.

Objectives: Suboptimal intrapartum electronic fetal heart rate monitoring using cardiotocography has remained a persistent problem (EFM-CTG). We aimed to identify the range of influences on the safety of using EFM-CTG in practice.

Design: Scoping review to identify influences related to the practice of intrapartum EFM.

Reconstruction Kernel Optimization for Ultra-High-Resolution Photon-Counting Detector Computed Tomography of the Lung.

Background: The latest generation of computed tomography (CT) systems based on photon-counting detector promises significant improvements in several clinical applications, including chest imaging.

Purpose: The aim of the study is to evaluate the image quality of ultra-high-resolution (UHR) photon-counting detector CT (PCD-CT) of the lung using four sharp reconstruction kernels.

Material And Methods: This retrospective study included 25 patients (11 women and 14 men; median age, 71 years) who underwent unenhanced chest CT from April to May 2023.

Non-small cell lung cancer in ever-smokers vs never-smokers.

Background: Lung cancer is a leading cause of cancer-related mortality. Non-small cell lung cancer (NSCLC) comprises 85% of cases with rising incidence among never-smokers (NS). This study seeks to compare clinical, imaging, pathology, and outcomes between NS and ever-smokers (S) NSCLC patients to identify significant differences if any.

Prognostic value of coronary artery calcium scoring in patients with non-small cell lung cancer using initial staging computed tomography.

Background: Lung cancer is a leading cause of cancer-related mortality worldwide, with non-small cell lung cancer (NSCLC) comprising 85% of cases. Due to the lack of early clinical signs, metastasis often occurs before diagnosis, impacting treatment and prognosis. Cardiovascular disease (CVD) is a common comorbidity in lung cancer patients, with shared risk factors exacerbating outcomes.

Artificial intelligence-derived coronary artery calcium scoring saves time and achieves close to radiologist-level accuracy accuracy on routine ECG-gated CT.

Artificial Intelligence (AI) has been proposed to improve workflow for coronary artery calcium scoring (CACS), but simultaneous demonstration of improved efficiency, accuracy, and clinical stability have not been demonstrated. 148 sequential patients who underwent routine calcium-scoring computed tomography were retrospectively evaluated using a previously validated AI model (syngo. CT CaScoring VB60, Siemens Healthineers, Forscheim, Germany).