Publications by authors named "A Meining"

Background: Assessment of the gastroesophageal junction (GEJ) is an integral part of gastroscopy; however, the absence of standardized reporting hinders consistency of examination documentation. The Hill classification offers a standardized approach for evaluating the GEJ. This study aims to compare the accuracy of an artificial intelligence (AI) system with that of physicians in classifying the GEJ according to Hill in a prospective, blinded, superiority trial.

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We aimed to quantitatively investigate the prognostic value of PET-based biomarkers on [F]FDG and [Ga]Ga-fibroblast activation protein inhibitor (FAPI)-04 PET/CT in patients with highly aggressive neuroendocrine neoplasms (NENs) and to compare the visually assessed differences in uptake on both examinations with progression-free survival (PFS). In this single-center retrospective analysis, 20 patients with high-grade NENs had undergone [F]FDG and [Ga]Ga-FAPI-04 PET. Both PET scans were visually compared, and the presence of [F]FDG-positive, [Ga]Ga-FAPI-04-negative (FDG+/FAPI-) lesions was noted.

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Introduction: A hiatal hernia (HH) can be defined as a condition in which elements from the abdominal cavity herniate through the oesophageal hiatus in the mediastinum and, in the majority of cases, parts of the proximal stomach. Today, the role of HHs within the complex entity of gastroesophageal reflux disease (GERD) is very important with regard to its pathophysiology, severity, and therapeutic and prognostic options. Despite this, the application and stringent use of the worldwide accepted classification (Skinner and Belsey: Types I-IV) are lacking.

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Endoscopic vacuum therapy (EVT) has become the most effective therapeutic option for upper gastrointestinal leakage. Despite its efficiency, this treatment can necessitate a long hospitalization. The aim of this study was to evaluate whether additional use of an over-the-scope-clips (OTSC) closure after successful EVT can shorten leakage therapy.

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Standardized assessment of the gastroesophageal valve during endoscopy, attainable via the Hill classification, is important for clinical assessment and therapeutic decision making. The Hill classification is associated with the presence of hiatal hernia (HH), a common endoscopic finding connected to gastro-esophageal reflux disease. A novel efficient medical artificial intelligence (AI) training pipeline using active learning (AL) is designed.

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