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First branchial cleft anomalies in children: long-term outcome in 16 patients.

Eur Arch Otorhinolaryngol

January 2025

Otorhinolaryngology, Head and Neck Surgery, University Hospitals Leuven, Leuven, Belgium.

Introduction: First branchial cleft anomalies (FBCA) are rare congenital head and neck malformations, often subject to incorrect diagnosis and treatment. We present our experience with FBCA, focusing on clinical presentation, diagnosis, perioperative relation to the facial nerve, surgical approach, complications and patient satisfaction.

Methods: A consecutive cohort of 16 patients undergoing surgical treatment for FBCA between 1999 and 2021 was analyzed.

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Developing highly efficient deep-blue multi-resonance thermal activated delayed fluorescence (MR-TADF) materials for ultra-high-definition organic light-emitting diodes (OLEDs) displays that meet the stringent BT.2020 standard remains a significant challenge. In this study, we present a strategy to achieve high-performance deep-blue MR-TADF emitters by integrating a large π-conjugated double-boron-embedded MR skeleton with strategically positioned peripheral steric hindrance groups.

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Background And Purpose:  The amount of information publicly available from arthroplasty registries is large but could be used more effectively. This project aims to improve the knowledge concerning existing registries to facilitate access, transparency, harmonization, and reporting.

Methods: Within the International Society of Arthroplasty Registries (ISAR) we aimed at developing, testing, adopting, and making publicly available a short, standardized registry description with items considered relevant for stakeholders using a cross-sectional study survey.

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Objectives: Long bone fractures with concomitant vascular injury have the potential to be life and limb threatening injuries, with increased risk for limb loss. There is currently no established surgical order of operations for orthopaedic and vascular intervention. This study compares injury classification, warm ischemia time and patient outcomes in patients with long bone fractures and associated vascular injury after orthopaedic versus vascular primary intervention.

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Objectives: To assess the ability of a previously trained deep-learning algorithm to identify the presence of inflammation on MRI of sacroiliac joints (SIJ) in a large external validation set of patients with axial spondyloarthritis (axSpA).

Methods: Baseline SIJ MRI scans were collected from two prospective randomised controlled trials in patients with non-radiographic (nr-) and radiographic (r-) axSpA (RAPID-axSpA: NCT01087762 and C-OPTIMISE: NCT02505542) and were centrally evaluated by two expert readers (and adjudicator in case of disagreement) for the presence of inflammation by the 2009 Assessment of SpondyloArthritis International Society (ASAS) definition. Scans were processed by the deep-learning algorithm, blinded to clinical information and central expert readings.

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