Introduction: Sarcoidosis is a systemic granulomatous disease affecting in particular the respiratory tract. Cardiac magnetic resonance (CMR), including a measurement of T relaxation time, could potentially detect early stadia of sarcoidosis of the heart. The study aims to assess T mapping in the detection of early cardiac involvement in asymptomatic patients with sarcoidosis.
Methods: One hundred and twenty patients with extracardiac sarcoidosis and without any heart disease history were included. One hundred and thirteen of them underwent a CMR examination. The mean time from the diagnosis of sarcoidosis was 0.8 (0.2-3.3) years. Cine images for the assessment of left ventricular (LV) functional parameters and pre- and post-contrast saturation method using adaptive recovery times for cardiac T mapping (SMART Map) and modified Look-Locker inversion recovery (MOLLI) images were acquired for the assessment of native T relaxation time and extracellular volume (ECV). The measured parameters were compared between sarcoidosis patients and 22 controls.
Results: The sarcoidosis patients had normal global and regional systolic LV function-LV ejection fraction 65 ± 5% versus 66 ± 7% (p NS). The mean native T relaxation times were not prolonged-1465 ± 93 ms versus 1480 ± 88 ms (p NS) measured by SMART Map and 1317 ± 60 ms versus 1313 ± 83 ms (p NS) measured using a MOLLI sequence. Similarly, the mean ECV values did not increase-16.9 ± 3.9% versus 17.9 ± 3.7% (p NS) measured by SMART Map and 30.9 ± 2.9% versus 31.6 ± 8.3% (p NS) measured using a MOLLI sequence.
Conclusion: Myocardial native T relaxation times were not prolonged and ECV was not increased in asymptomatic patients with extracardiac sarcoidosis.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/nbm.4388 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Mapping an evidence-based end-of-life care framework for older adults in Chinese nursing homes: protocol for a scoping review.
BMJ Open
December 2024
School of Psychology, Wenzhou-Kean University, China, Wenzhou, Zhejiang, China.
Introduction: End-of-life care is essential for older adults aged ≥60, particularly those residing in long-term care facilities, such as nursing homes, which are known for their home-like environments compared with hospitals. Due to potential limitations in medical resources, collaboration with external healthcare providers is crucial to ensure comprehensive services within these settings. Previous studies have primarily focused on team-based models for end-of-life care in hospitals and home-based settings.
View Article and Find Full Text PDFDrug-Drug interactions prediction calculations between cardiovascular drugs and antidepressants for discovering the potential co-medication risks.
PLoS One
January 2025
Department of Computer Science and Technology, School of Computer Science, Northeast Electric Power University, Jilin, China.
Predicting Drug-Drug Interactions (DDIs) enables cost reduction and time savings in the drug discovery process, while effectively screening and optimizing drugs. The intensification of societal aging and the increase in life stress have led to a growing number of patients suffering from both heart disease and depression. These patients often need to use cardiovascular drugs and antidepressants for polypharmacy, but potential DDIs may compromise treatment effectiveness and patient safety.
View Article and Find Full Text PDFEBR-YOLO: A Lightweight Detection Method for Non-Motorized Vehicles Based on Drone Aerial Images.
Sensors (Basel)
January 2025
College of Information Science and Technology, Donghua University, Shanghai 201620, China.
Modern city construction focuses on developing smart transportation, but the recognition of the large number of non-motorized vehicles in the city is still not sufficient. Compared to fixed recognition equipment, drones have advantages in image acquisition due to their flexibility and maneuverability. With the dataset collected from aerial images taken by drones, this study proposed a novel lightweight architecture for small objection detection based on YOLO framework, named EBR-YOLO.
View Article and Find Full Text PDFDigestion of gluten-derived immunogenic peptides along the gastrointestinal tract of the growing pig as a model for the adult human is enhanced with simultaneous consumption of exogenous proteases.
J Nutr
January 2025
Riddet Institute, Massey University, Te Ohu Rangahau Kai Facility, Palmerston North 4474, New Zealand; Smart Foods and Bioproducts, AgResearch Limited, Te Ohu Rangahau Kai Facility, Palmerston North 4474, New Zealand. Electronic address:
Background And Aims: Digestion of gluten-derived immunogenic peptides along the gastrointestinal tract (GIT) is not well established. This study aimed to map the digestion of gluten-derived immunogenic peptides along the GIT using the growing pig as a human adult model, and actinidin as a model exogenous protease.
Methods: Entire male pigs 9 weeks of age (n=54, 19.
Enhancing Wheat Spike Counting and Disease Detection Using a Probability Density Attention Mechanism in Deep Learning Models for Precision Agriculture.
Plants (Basel)
December 2024
China Agricultural University, Beijing 100083, China.
This study aims to improve the precision of wheat spike counting and disease detection, exploring the application of deep learning in the agricultural sector. Addressing the shortcomings of traditional detection methods, we propose an advanced feature extraction strategy and a model based on the probability density attention mechanism, designed to more effectively handle feature extraction in complex backgrounds and dense areas. Through comparative experiments with various advanced models, we comprehensively evaluate the performance of our model.
View Article and Find Full Text PDFWant 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!