Publications by authors named "M Froelich"

Introduction: The impact of the distance of the tumor from the main hepatic vessels (DTV), such as the Glissonean pedicle or hepatic veins, on oncological outcomes for Hepatocellular carcinoma (HCC) patients is relatively understudied. Therefore, the objective of this study was to explore the correlation between DTV and survival in patients with HCC after curative hepatic resection.

Methods: Consecutive patients who underwent curative-intent liver surgery for HCC between April 2018 and May 2023 were identified from a prospective database.

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Aim: Recent research highlights the role of pericoronary adipose tissue (PCAT) in coronary artery disease (CAD) development. PCAT has been recognized as a metabolically active tissue involved in local inflammation and oxidative stress, potentially impacting CAD initiation and progression. Radiomics texture analysis shows promising results to better understand the link between PCAT quality and CAD risk.

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Objectives: Urolithiasis, a common and painful urological condition, is influenced by factors such as lifestyle, genetics, and medication. Differentiating between different types of kidney stones is crucial for personalized therapy. The purpose of this study is to investigate the use of photon-counting computed tomography (PCCT) in combination with radiomics and machine learning to develop a method for automated and detailed characterization of kidney stones.

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Background And Purpose: Investigating the cost-effectiveness of future mobile stroke unit (MSU) services with respect to local idiosyncrasies is essential for enabling large-scale implementation of MSU services. The aim of this study was to assess the cost-effectiveness for varying urban German settings and modes of operation.

Methods: Costs of different operating times together with different personnel configurations were simulated.

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Background: Quantification of pulmonary edema in patients with acute respiratory distress syndrome (ARDS) by chest computed tomography (CT) scan has not been validated in routine diagnostics due to its complexity and time-consuming nature. Therefore, the single-indicator transpulmonary thermodilution (TPTD) technique to measure extravascular lung water (EVLW) has been used in the clinical setting. Advances in artificial intelligence (AI) have now enabled CT images of inhomogeneous lungs to be segmented automatically by an intensive care physician with no prior radiology training within a relatively short time.

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