Radboud Centre for Mitochondrial Medicine Pediatric MRI score.

Mitochondrion

Department of Pediatrics, Radboud Centre for Mitochondrial Medicine, Radboud University Medical Centre, 6500 HB Nijmegen, The Netherlands.

Published: January 2017

We developed the first user-friendly, semi-quantitative, and quick-to-perform Radboud Centre for Mitochondrial Medicine Pediatric MRI score (RCMM-PMRIS), focusing on the six most commonly described neuroimaging abnormalities in the literature. The RCMM-PMRIS was validated through individual review of 30 sets of brain MRI studies in 24 patients with genetically confirmed mitochondrial disorders by six raters. The application of RCMM-PMRIS can help to define the extent of the brain involvement and therefore to assess the radiological mitochondrial disease severity, to monitor disease progression and consequently to act as an outcome measure for treatment effects in patients with mitochondrial disease.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.mito.2016.11.008DOI Listing

Publication Analysis

Top Keywords

radboud centre
8
centre mitochondrial
8
mitochondrial medicine
8
medicine pediatric
8
pediatric mri
8
mri score
8
mitochondrial disease
8
mitochondrial
5
score developed
4
developed user-friendly
4

Similar Publications

Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.

View Article and Find Full Text PDF

In vitro susceptibility of 147 international clinical Mycobacterium abscessus isolates to epetraborole and comparators by broth microdilution.

J Antimicrob Chemother

December 2024

Division of Mycobacterial and Respiratory Infections, Department of Medicine, National Jewish Health, Denver, CO, USA.

Background: Mycobacterium abscessus is a highly drug-resistant non-tuberculous mycobacterium (NTM) for which treatment is limited by the lack of active oral antimycobacterials and frequent adverse reactions. Epetraborole is a novel oral, boron-containing antimicrobial that inhibits bacterial leucyl-tRNA synthetase, an essential enzyme in protein synthesis, and has been shown to have anti-M. abscessus activity in preclinical studies.

View Article and Find Full Text PDF

Background: In recent years, the Netherlands has experienced a notable increase in opioid prescriptions and associated fatalities. Emergency department (ED) patients exhibit relatively high rates of opioid use (15%) and misuse (23% of patients who present to the ED and use prescription opioids test positive for misuse). To mitigate opioid-related harm, the American College of Emergency Physicians (ACEP) advocates for the use of non-opioid analgesics and minimal opioid prescriptions.

View Article and Find Full Text PDF

Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection.

Comput Biol Med

December 2024

Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands.

Artificial Intelligence (AI) models may fail or suffer from reduced performance when applied to unseen data that differs from the training data distribution, referred to as dataset shift. Automatic detection of out-of-distribution (OOD) data contributes to safe and reliable clinical implementation of AI models. In this study, we propose a recognized OOD detection method that utilizes the Mahalanobis distance (MD) and compare its performance to widely known classical methods.

View Article and Find Full Text PDF

The atypical static brain functions related to the executive control network (ECN), default mode network (DMN), and salience network (SN) in people with autism spectrum disorder (ASD) has been widely reported. However, their transient functions in ASD are not clear. We aim to identify transient network states (TNSs) using coactivation pattern (CAP) analysis to characterize the age-related atypical transient functions in ASD.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!