Publications by authors named "Lavinia Brockstedt"
Background Deep learning (DL)-accelerated MRI can substantially reduce examination times. However, studies prospectively evaluating the diagnostic performance of DL-accelerated MRI reconstructions in acute suspected stroke are lacking. Purpose To investigate the interchangeability of DL-accelerated MRI with conventional MRI in patients with suspected acute ischemic stroke at 1.
View Article and Find Full Text PDFPurpose: The aim of this study was to evaluate the image quality and feasibility of a field map-based technique to correct for susceptibility-induced geometric distortions which are typical for diffusion EPI brain imaging.
Methods: We prospectively included 52 patients during clinical routine in this single-center study. All scans were performed on a 3T MRI.
Article Synopsis
- Missing outcome data (MOD) is prevalent in clinical trials, specifically in a study of 13,082 stroke patients undergoing mechanical thrombectomy, and affects the validity of conclusions drawn from such data.
- The study found that MOD occurred in 19.7% of patients at the 90-day mark, with higher rates associated with greater pre-stroke and post-stroke disabilities, longer treatment times, and different discharge conditions.
- To ensure better follow-up and data completeness, there's a need for targeted efforts on patients with significant disabilities and those discharged to hospitals or other facilities.
Rationale And Objectives: To evaluate clinical feasibility and image quality of a comprehensive ultrafast brain MRI protocol with multi-shot echo planar imaging and deep learning-enhanced reconstruction at 1.5T.
Materials And Methods: Thirty consecutive patients who underwent clinically indicated MRI at a 1.