Publications by authors named "R A Didier"
Purpose: To develop a rapid, high-resolution and distortion-free quantitative mapping technique for fetal brain at 3 T.
Methods: A 2D multi-echo radial FLASH sequence with blip gradients is adapted for fetal brain data acquisition during maternal free breathing at 3 T. A calibrationless model-based reconstruction with sparsity constraints is developed to jointly estimate water, fat, and field maps directly from the acquired k-space data.
Pacemaker implantation (PMI) after transcatheter aortic valve implantation (TAVI) is a common complication. While computed tomography (CT) scan data are known predictors of PMI, no machine learning (ML) model integrating CT with clinical, ECG, and transthoracic echocardiography (TTE) data has been proposed. This study investigates the contribution of ML methods to predict PMI after TAVI, with a focus on the role of CT imaging data.
View Article and Find Full Text PDFBackground: Although guidelines recommend screening patients for atrial fibrillation (AF) after stroke, the optimal timing and combination of screening tools remain unclear.
Aims: We evaluated the suitability of a sequential combination of screening techniques for AF detected after stroke (AFDAS). We also compared patient characteristics according to the timing of AFDAS.
Background: There are few data assessing the risk of death and cardiovascular events in patients with lymphoma.
Aim: Using a nationwide hospitalization database, we aimed to address cardiovascular outcomes in patients with lymphoma.
Methods: From 01 January to 31 December 2013, 3,381,472 adults were hospitalized in French hospitals; 22,544 of these patients had a lymphoma.