Publications by authors named "M Wallaert"
Dupilumab has demonstrated efficacy in the treatment of atopic dermatitis. However, a subset of patients experiences ocular adverse events (OAEs), including conjunctivitis and dry eye syndrome, the pathological mechanisms of which are still unknown. In a bicentric study, we used DNA microarray analysis to compare the transcriptome of conjunctival cells of patients with atopic dermatitis collected by impression cytology before (M0) and 4 months after (M4) initiating dupilumab treatment.
View Article and Find Full Text PDFBackground: Ga-PSMA PET is the leading prostate cancer imaging technique, but the image quality remains noisy and could be further improved using an artificial intelligence-based denoising algorithm. To address this issue, we analyzed the overall quality of reprocessed images compared to standard reconstructions. We also analyzed the diagnostic performances of the different sequences and the impact of the algorithm on lesion intensity and background measures.
View Article and Find Full Text PDFIndividuals fail to suppress certain thoughts, especially under conditions that tax cognitive resources. We investigated the impact of modifying psychological reactance pressures on thought suppression attempts. Participants were asked to suppress thoughts of a target item under standard experimental conditions or under conditions designed to lower reactance pressures.
View Article and Find Full Text PDFArticle Synopsis
- * Among 181 AD patients, 14.9% had conjunctivitis at the start, with most seeing improvement by week 16, while 18.7% developed dupilumab-induced blepharoconjunctivitis, primarily as new cases.
- * Key risk factors linked to dupilumab-induced blepharoconjunctivitis included having AD on the head and neck, erythroderma, and existing dry eye syndrome, though baseline conjunctivitis severity wasn't a significant factor.
Objectives: To develop a deep-learning algorithm for anterior cruciate ligament (ACL) tear detection and to compare its accuracy using two external datasets.
Methods: A database of 19,765 knee MRI scans (17,738 patients) issued from different manufacturers and magnetic fields was used to build a deep learning-based ACL tear detector. Fifteen percent showed partial or complete ACL rupture.