Results 211 to 220 of about 639,736 (379)

FH-deficient uterine leiomyoma: A rare case report highlighting diagnostic and clinical challenges. [PDF]

open access: yesRadiol Case Rep
Jaafar W   +7 more
europepmc   +1 more source

Loss‐of‐Function Variants in CPT1C: No Support for a Causal Role in Hereditary Spastic Paraplegia

open access: yesMovement Disorders, EarlyView.
Abstract Background Hereditary spastic paraplegias (HSPs) are neurodegenerative disorders characterized by lower‐limb spasticity. Pathogenic variants in CPT1C have been implicated in HSP. Objective The objective of this study was to assess whether CPT1C loss‐of‐function (LOF) variants are causally associated with HSP.
Rui Zhu   +17 more
wiley   +1 more source

Strong‐Gradient Diffusion‐Weighted Imaging of Prostate Cancer Using an Inside‐Out Nonlinear Gradient Coil

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To demonstrate improved image quality and lesion conspicuity in prostate diffusion‐weighted imaging (DWI) using an inside‐out nonlinear gradient coil that provides locally strong gradients (200–500 500 mT/m) at typical prostate positions.
Horace Z. Zhang   +8 more
wiley   +1 more source

On‐Scanner Correction of Gradient Nonlinearity Bias for Accurate Assessment of Diffusion Heterogeneity Across Bone Sites in Myelofibrosis Patients

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To improve accuracy of apparent diffusion coefficient (ADC) measurement across different bone‐marrow (BM) sites for myelofibrosis (MF) patients. Methods Vendor‐provided ADC gradient nonlinearity correction (GNC) was implemented for 41 MF study subjects on a 3T clinical scanner.
Dariya Malyarenko   +9 more
wiley   +1 more source

MRI in Chronic Pudendal Neuralgia: Diagnostic Criteria and Associated Pathologies. [PDF]

open access: yesDiagnostics (Basel)
Gaeta M   +8 more
europepmc   +1 more source

Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul   +8 more
wiley   +1 more source

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