Elevated Septal Native T1 Time in CMR Imaging Suggesting Myocardial Fibrosis in Young Kidney Transplant Recipients.

Background: Patients after kidney transplantation (KTx) in childhood show a high prevalence of cardiac complications, but the underlying mechanism is still poorly understood. In adults, myocardial fibrosis detected in cardiac magnetic resonance (CMR) imaging is already an established risk factor. Data for children after KTx are not available.

Maternal and neonatal short-term outcome after vaginal breech delivery >36 weeks of gestation with and without MRI-based pelvimetric measurements: a Hannover retrospective cohort study.

Objectives: Planning the mode of delivery of a full-term breech singleton remains a challenging task. The aim of this work is to compare the neonatal and maternal short-term outcomes after planned vaginal delivery and caesarean section and to evaluate the influence of an MRI pelvimetry on the short-term outcomes in order to provide appropriate advice to pregnant women with breech presentation.

Methods: This is a retrospective monocentric analysis of all deliveries with singleton pregnancies from breech presentation >36 + 0 weeks of gestation between 08/2021 and 09/2023.

CT-Defined Pectoralis Muscle Density Predicts 30-Day Mortality in Hospitalized Patients with COVID-19: A Nationwide Multicenter Study.

Rationale And Objectives: The prognostic role of computed tomography (CT)-defined skeletal muscle features in COVID-19 is still under investigation. The aim of the present study was to evaluate the prognostic role of CT-defined skeletal muscle area and density in patients with COVID-19 in a multicenter setting.

Materials And Methods: This retrospective study is a part of the German multicenter project RACOON (Radiological Cooperative Network of the COVID-19 pandemic).

Artificial intelligence-based quantification of pulmonary HRCT (AIqpHRCT) for the evaluation of interstitial lung disease in patients with inflammatory rheumatic diseases.

High-resolution computed tomography (HRCT) is important for diagnosing interstitial lung disease (ILD) in inflammatory rheumatic disease (IRD) patients. However, visual ILD assessment via HRCT often has high inter-reader variability. Artificial intelligence (AI)-based techniques for quantitative image analysis promise more accurate diagnostic and prognostic information.

Photon-counting detector CT (PCD-CT) generated iodine maps to characterize parenchymal lung disease: A feasibility study.

Background: With photon-counting CT, spectral imaging is always available, and iodine maps with high spatial and spectral resolution can be generated.

Objectives: The aim of this study was to investigate whether iodine uptake in different parenchymal patterns can be used to characterise parenchymal disease with increased lung attenuation.

Methods: 325 patients were scanned with a photon-counting CT using four scan protocols, all with lung parenchymal contrast.