Does age, sex, and area of substantia nigra echogenicity predict the MRI appearance of nigrosome-1?

The appearance of the substantia nigra (SN) can aid diagnosis of Parkinson's disease (PD). The effect of age and sex on the appearance of nigrosome-1 (SN subregion) on magnetic resonance imaging (MRI), and the relationship between nigrosome-1 (viewed with MRI) and SN echogenicity (viewed with transcranial ultrasound) is unknown. The study aimed to address these knowledge gaps.

Prognostic significance of paramagnetic rim lesions in multiple sclerosis: A systematic review.

The diagnostic potential of paramagnetic rim lesions (PRLs) has been previously established; however, the prognostic significance of these lesions has not previously been consistently described. This study aimed to establish the prognostic role of PRLs in MS with respect to the Expanded Disability Status Scale (EDSS) and rates of disability progression. Databases of PubMed, EMBASE, Scopus and reference lists of selected articles were searched up to 29/04/2023.

Simple quantitative planimetric measurement of nigrosome-1 for clinical settings.

Introduction: Loss of MRI hyperintense signal in nigrosome-1 (assessed with susceptibility-weighted imaging) is a biomarker for Parkinson's disease (PD). Current clinical practice involves subjectively rating the appearance of nigrosome-1 which is challenging. The study aimed to test and compare a simple method for quantifying nigrosome-1 with the current subjective rating method.

Imaging evaluation of a proposed 3D generative model for MRI to CT translation in the lumbar spine.

Background Context: A computed tomography (CT) and magnetic resonance imaging (MRI) are used routinely in the radiologic evaluation and surgical planning of patients with lumbar spine pathology, with the modalities being complimentary. We have developed a deep learning algorithm which can produce 3D lumbar spine CT images from MRI data alone. This has the potential to reduce radiation to the patient as well as burden on the health care system.