Publications by authors named "M P J M Wijffels"
Purpose: Distal radius fractures (DRFs) are often initially assessed by junior doctors under time constraints, with limited supervision, risking significant consequences if missed. Convolutional Neural Networks (CNNs) can aid in diagnosing fractures. This study aims to internally and externally validate an open source algorithm for the detection and localization of DRFs.
View Article and Find Full Text PDFIntroduction: Costal margin rupture (CMR) injuries in association with intercostal hernia (IH) are rare and symptomatic and provide a significant surgical challenge. Surgical failure rates up to 60% are reported, and optimal techniques are unclear. We have characterized these injuries and describe the evolution of our surgical management techniques.
View Article and Find Full Text PDFIntroduction: High-density (HD) substrate mapping may increase success of catheter ablation targeting ventricular tachycardia (VT). However, despite its use, recurrent VT is not uncommon. We aim to investigate factors that are associated with outcomes after HD mapping-guided substrate ablation procedures for VT in patients with ischemic cardiomyopathy.
View Article and Find Full Text PDFArticle Synopsis
- - This study aimed to create a convolutional neural network (CNN) to detect and classify fractures, focusing on specific characteristics like greater tuberosity displacement and neck-shaft angle, using plain X-rays.
- - The CNN was trained with over 1,700 X-rays from Australia and validated with data from the Netherlands, comparing results with CT scans evaluated by experts.
- - The CNN demonstrated a high detection accuracy of 94% for fractures, but less effectiveness in identifying specific fracture characteristics, particularly showing lower performance for greater tuberosity displacement and neck-shaft angles.
Article Synopsis
- Patients with pulmonary contusion (PC) face a higher risk of complications and respiratory issues, and CT scans, while sensitive, may not fully capture the extent of PC immediately after injury.
- This systematic review aimed to identify different classification systems for PC and examine their link to in-hospital outcomes across various studies, with a focus on CT-based assessments following blunt thoracic trauma.
- The findings revealed that the most effective classification method involves calculating the percentage of contused lung volume, with higher volumes (over 18-24%) correlating with worse patient outcomes.