0000000000364945

AUTHOR

M. Arnold

showing 2 related works from this author

Software zur automatischen Quantifizierung von Belüftungszuständen bei akutem Lungenversagen in dynamischen CT-Aufnahmen der Lunge1

2001

Purpose: Density measurements in dynamic CT image series of the lungs allow one to quantify ventilated, hyperinflated, and atelectatic pulmonary compartments with high temporal resolution. Fast automatic segmentation of lung parenchyma and a subsequent evaluation of it's respective density values are a prerequisite for any clinical application of this technique. Material and Methods: For automatic lung segmentation in thoracic CT scans, an algorithm was developed which uses (a) different density masks, and (b) anatomic knowledge to differentiate heart, diaphragm and chest wall from ventilated and atelectatic lung parenchyma. With Animal Care Committee approval, the automated technique was t…

ARDSmedicine.medical_specialtyLungbusiness.industryAtelectasisReconstruction algorithmImage processingmedicine.diseasemedicine.anatomical_structureBreathingMedicineRadiology Nuclear Medicine and imagingSegmentationTomographyRadiologybusinessRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
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Impact of clinical phenotypes on management and outcomes in European atrial fibrillation patients: a report from the ESC-EHRA EURObservational Resear…

2021

Abstract Background Epidemiological studies in atrial fibrillation (AF) illustrate that clinical complexity increase the risk of major adverse outcomes. We aimed to describe European AF patients’ clinical phenotypes and analyse the differential clinical course. Methods We performed a hierarchical cluster analysis based on Ward’s Method and Squared Euclidean Distance using 22 clinical binary variables, identifying the optimal number of clusters. We investigated differences in clinical management, use of healthcare resources and outcomes in a cohort of European AF patients from a Europe-wide observational registry. Results A total of 9363 were available for this analysis. We identified three …

RegistrieResearch Reportmedicine.medical_specialtyMajor adverse outcomeCardiovascular risk factorsCluster analysisRisk FactorsInternal medicineClinical phenotypeAtrial FibrillationEpidemiologyHumansMedicineRegistriesCluster analysiAtrial fibrillation; Clinical management; Clinical phenotypes; Cluster analysis; Major adverse outcomes; Humans; Phenotype; Registries; Research Report; Risk Factors; Atrial FibrillationClinical managementbusiness.industryProportional hazards modelRisk FactorHazard ratioRAtrial fibrillationClinical phenotypesMajor adverse outcomesGeneral Medicinemedicine.diseaseAtrial fibrillationConfidence intervalPhenotypeCohortMedicineObservational studybusinessResearch ArticleHumanBMC Medicine
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