Publications by authors named "M K Ninaber"
Introduction: Achieving an early diagnosis of chronic thromboembolic pulmonary hypertension (CTEPH) in pulmonary embolism (PE) survivors results in better quality of life and survival. Importantly, dedicated follow-up strategies to achieve an earlier CTEPH diagnosis involve costs that were not explicitly incorporated in the models assessing their cost-effectiveness. We performed an economic evaluation of 11 distinct PE follow-up algorithms to determine which should be preferred.
View Article and Find Full Text PDFBackground: In 2020, a mandatory, nationwide 1-day bronchoscopy simulation-based training (SBT) course was implemented for novice pulmonology residents in the Netherlands. This pretest-posttest study was the first to evaluate the effectiveness of such a nationwide course in improving residents' simulated basic bronchoscopy skills.
Methods: After passing a theoretical test, residents followed a 1-day SBT course, available in 7 centers, where they practiced their bronchoscopy skills step-by-step on a virtual reality simulator under pulmonologist supervision.
Visual scoring of interstitial lung disease in systemic sclerosis (SSc-ILD) from CT scans is laborious, subjective and time-consuming. This study aims to develop a deep learning framework to automate SSc-ILD scoring. The automated framework is a cascade of two neural networks.
View Article and Find Full Text PDFArticle Synopsis
- - Pulmonary function tests (PFTs) are crucial for assessing interstitial lung disease in systemic sclerosis patients, but they can be challenging to perform due to risks and contraindications, leading to the exploration of alternative methods like convolution neural networks (CNNs) with chest CT scans.
- - This study introduces point cloud neural networks (PNN) and graph neural networks (GNN) to better estimate PFTs using detailed information about pulmonary vessel centerlines, which enhances accuracy compared to previous CNN methods while also being more efficient in terms of training time and parameters.
- - The combination of CNN-CT, PNN-Vessel, and GNN-Vessel resulted in the highest accuracy for estimating PFTs, indicating that
Introduction: Up to 50% of pulmonary embolism (PE) patients have perfusion defects or residual vascular obstruction during follow-up despite adequate anticoagulant treatment, and a similar percentage experience chronic functional limitations and/or dyspnoea post-PE. We aimed to evaluate the association between pulmonary perfusion defects or residual vascular obstruction and functional recovery after PE.
Methods: We performed a systematic review and meta-analysis including studies assessing both the presence of perfusion defects or residual vascular obstruction and functional recovery ( persistent symptoms, quality of life, exercise endurance).