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F. Bamberg

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Open access Oct 2026

Impact of Photon-Counting CT Acquisition Modes on Coronary Stenosis Assessment and Radiation Dose: A Phantom and Clinical Evaluation.

While UHR acquisition provides highest image quality in PCD-CT cCTA, lower-dose acquisition modes achieve comparable diagnostic accuracy for coronary stenosis detection and Protocol selection should therefore be individualized, and prospective controlled studies are required.

Thomas Stein, Friederike Lang, F. Bamberg et al. · 0 citations
Jul 2026

Deep Learning to Quantify Body Composition in Lung Cancer Screening-Eligible Individuals.

PURPOSE Most low-dose computed tomography (LDCT) scans in lung cancer (LC) screening are negative, yet contain prognostic information. We developed a fully automated 3D deep learning model for thoracic body composition (BC) quantification from LDCT and evaluated its prognostic value for overall and cause-specific morta...

J. Fingerhut, F. Pallasch, M. Jung et al. · 0 citations
Review Open access Sep 2026

Environmental exposures and mental health: longitudinal results from the German National Cohort (NAKO).

BACKGROUND Environmental exposures such as air pollution, population density, and climate-related stressors may influence mental health, yet large-scale longitudinal evidence is limited. This study examined associations of environmental exposures with depressive and anxiety symptoms, and stress in the German National C...

Yan-Ding Wang, Susanne Breitner-Busch, K. Wolf et al. · 0 citations
Open access Sep 2026

The association of a lifestyle risk index with glycemic status in the German National Cohort (NAKO)

In this large sample of predominantly healthy adults, a combination of lifestyles, foremost driven by not smoking, was weakly associated with lower HbA1c levels but not self-reported diabetes, and lifestyle factors may be relevant for glycemic control.

G. Maskarinec, Rebecca Klapp, U. Nöthlings et al. · 0 citations
Open access Aug 2026

Volumetric reference data of the orbit: a deep learning MRI analysis in the German national cohort

This deep learning tool effectively resolved the bottleneck of manual segmentation, providing comprehensive orbital reference data for the German population and enabling future high-throughput epidemiological research into the associations between orbital anatomy, systemic health, and disease.

Navid Farassat, M. Reisert, S. Rospleszcz et al. · 0 citations
Open access Aug 2026

Quantitative MRI assessment of left ventricular filling: associations with left atrial and pulmonary artery dimensions in a population-based study

In individuals free of overt cardiovascular disease, MRI-derived LV filling dynamics were associated with structural alterations of the left atrium and pulmonary vasculature, suggesting that changes across the cardiopulmonary axis may already be detectable by whole-body MRI before clinical disease becomes apparent.

C. Wintergerst, R. Lorbeer, S. Rospleszcz et al. · 0 citations

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