Publications by authors named "Benjamin Prestwich"
Background: Multiparametric renal Magnetic Resonance Imaging (MRI) provides a non-invasive method to assess kidney structure and function, but longitudinal studies are limited.
Methods: A total of 22 patients with CKD category G3-4 (estimated glomerular filtration rate (eGFR) 15-59 mL/min/1.73 m) were recruited.
Background: Acute kidney injury (AKI) is associated with a marked increase in mortality as well as subsequent chronic kidney disease (CKD) and end-stage kidney disease. We performed multiparametric magnetic resonance imaging (MRI) with the aim of identifying potential non-invasive MRI markers of renal pathophysiology in AKI and during recovery.
Methods: Nine participants underwent inpatient MRI scans at time of AKI; seven had follow-up scans at 3 months and 1 year following AKI.
Purpose: Total kidney volume (TKV) is an important measure in renal disease detection and monitoring. We developed a fully automated method to segment the kidneys from T -weighted MRI to calculate TKV of healthy control (HC) and chronic kidney disease (CKD) patients.
Methods: This automated method uses machine learning, specifically a 2D convolutional neural network (CNN), to accurately segment the left and right kidneys from T -weighted MRI data.
Article Synopsis
- Multi-parametric MRI offers a detailed non-invasive way to assess kidney structure and function in chronic kidney disease (CKD), a method not thoroughly explored before.
- The study compared MRI results from 22 CKD patients and 22 healthy volunteers, finding significant differences in various MRI measures and strong correlations with kidney function indicators.
- The results indicate that multi-parametric MRI is reliable and aligns closely with kidney health status, suggesting the need for larger studies to further explore its clinical value.
This paper outlines a multiparametric renal MRI acquisition and analysis protocol to allow non-invasive assessment of hemodynamics (renal artery blood flow and perfusion), oxygenation (BOLD T), and microstructure (diffusion, T mapping). We use our multiparametric renal MRI protocol to provide (1) a comprehensive set of MRI parameters [renal artery and vein blood flow, perfusion, T, T, diffusion (ADC, D, D, f), and total kidney volume] in a large cohort of healthy participants (127 participants with mean age of 41 ± 19 years) and show the MR field strength (1.5 T vs.
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