Background: Prospective data on the clinical course of the ascending thoracic aorta are lacking.
Objectives: This study sought to estimate growth rates of the ascending aorta and to evaluate occurrences of adverse aortic events (AAEs)-that is, thoracic aortic ruptures, type A aortic dissections, and thoracic aortic-related deaths.
Methods: In this prospective cohort study from the population-based, multicenter, randomized DANCAVAS (Danish Cardiovascular Screening trials) I and II, participants underwent cardiovascular risk assessments including electrocardiogram-gated, noncontrast computed tomography (CT) scans.
Evaluating diagnostic test accuracy during epidemics is difficult due to an urgent need for test availability, changing disease prevalence and pathogen characteristics, and constantly evolving testing aims and applications. Based on lessons learned during the SARS-CoV-2 pandemic, we introduce a framework for rapid diagnostic test development, evaluation, and validation during outbreaks of emerging infections. The framework is based on the feedback loop between test accuracy evaluation, modelling studies for public health decision-making, and impact of public health interventions.
View Article and Find Full Text PDFThis systematic review and network meta-analysis aimed to compare the diagnostic accuracy of 2-[F]FDG-PET/CT, F-NaF-PET/CT, MRI, contrast-enhanced CT, and bone scintigraphy for diagnosing bone metastases in patients with breast cancer. Following PRISMA-DTA guidelines, we reviewed studies assessing 2-[F]FDG-PET/CT, F-NaF-PET/CT, MRI, contrast-enhanced CT, and bone scintigraphy for diagnosing bone metastases in high-stage primary breast cancer (stage III or IV) or known primary breast cancer with suspicion of recurrence (staging or re-staging). A comprehensive search of MEDLINE/PubMed, Scopus, and Embase was conducted until February 2024.
View Article and Find Full Text PDFClin Physiol Funct Imaging
January 2025
Cross-sectional imaging supplements endoscopy in detecting disease manifestations in inflammatory bowel diseases (IBD). This study aimed to evaluate the accuracy of PET/MRI in a paediatric population suspected of IBD. This prospective study consecutively included patients aged 8-17 years under diagnostic evaluation for IBD.
View Article and Find Full Text PDFMammography screening supported by deep learning-based artificial intelligence (AI) solutions can potentially reduce workload without compromising breast cancer detection accuracy, but the site of deployment in the workflow might be crucial. This retrospective study compared three simulated AI-integrated screening scenarios with standard double reading with arbitration in a sample of 249 402 mammograms from a representative screening population. A commercial AI system replaced the first reader (scenario 1: integrated AI), the second reader (scenario 2: integrated AI), or both readers for triaging of low- and high-risk cases (scenario 3: integrated AI).
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