Cost analysis of laparoscopic total versus open total gastrectomy in gastric cancer.

Purpose: Despite ongoing discussions concerning clinical equivalence of laparoscopic total gastrectomy (LTG) compared to open total gastrectomy (OTG) in gastric cancer (GC) surgery, complementary evidence regarding financial implications is sparse. The aim of this study was to compare hospital associated expenses and perioperative outcomes between both approaches.

Methods: Clinicopathological and financial data from 80 consecutive GC patients undergoing LTG or OTG between 2015 and 2022 were investigated.

Relating Photoperiod and Outdoor Temperature With Sleep Architecture in Patients With Neuropsychiatric Sleep Disorders.

While artificial light in urban environments was previously thought to override seasonality in humans, recent studies have challenged this assumption. We aimed to explore the relationship between seasonally varying environmental factors and changes in sleep architecture in patients with neuropsychiatric sleep disorders by comparing two consecutive years. In 770 patients, three-night polysomnography was performed at the Clinic for Sleep & Chronomedicine (St.

Digitalised multidisciplinary conferences effectively identify and prevent imaging-related medical error in intensive care patients during the COVID-19 pandemic.

This study aims to assess the effectiveness of digital multidisciplinary conferences (MDCs) in preventing imaging-related quality management (QM) events during the coronavirus-disease-19 (COVID-19) pandemic. COVID-19 challenged interdisciplinary exchange and QM measures for patient safety. Regular MDCs between radiologists and intensive care unit (ICU) physicians, introduced in our hospital in 2018, enable re-evaluation of imaging examinations and bilateral feedback.

Optimized Directed Virus Evolution to Accelerate the Generation of Oncolytic Coxsackievirus B3 Adapted to Resistant Colorectal Cancer Cells.

Recently, we demonstrated that the oncolytic Coxsackievirus B3 (CVB3) strain PD-H can be efficiently adapted to resistant colorectal cancer cells through dose-dependent passaging in colorectal cancer cells. However, the method is time-consuming, which limits its clinical applicability. Here, we investigated whether the manufacturing time of the adapted virus can be reduced by replacing the dose-based passaging with volume-based passaging.

The Association Between Cytomegalovirus Infection and Kidney Damage in the Liver Transplant Setting.

Introduction: The development of chronic kidney disease (CKD) is a common and significant complication, contributing to morbidity after liver transplantation (LT). Cytomegalovirus (CMV) infection is common in the overall population, and relevant reinfection after LT may occur. CMV-associated kidney damage has been discussed, but the clinical significance on CKD development after LT remains unclear.

Effective Inhibitor Removal from Wastewater Samples Increases Sensitivity of RT-dPCR and Sequencing Analyses and Enhances the Stability of Wastewater-Based Surveillance.

Wastewater-based surveillance (WBS) is a proven tool for monitoring population-level infection events. Wastewater contains high concentrations of inhibitors, which contaminate the total nucleic acids (TNA) extracted from these samples. We found that TNA extracts from raw influent of Berlin wastewater treatment plants contained highly variable amounts of inhibitors that impaired molecular analyses like dPCR and next-generation sequencing (NGS).

Immune Cell Distributions in the Blood of Healthy Individuals at High Genetic Risk of Parkinson's Disease.

The immune system likely plays a key role in Parkinson's disease (PD) pathophysiology. Thus, we investigated whether immune cell compositions are already altered in healthy individuals at high genetic risk for PD. We quantified 92 immune cell subtypes in the blood of 442 individuals using multicolor flow cytometry.

Bichromatic Splicing Detector Allows Quantification of and Splicing Isoforms in Single Cells by Fluorescent Live-Cell Imaging.

Thyroid hormone receptor alpha (THR) is a nuclear hormone receptor that binds triiodothyronine (T3) and acts as an important transcription factor in development, metabolism, and reproduction. The coding gene, , has two major splicing isoforms in mammals, and , which encode THR1 and THR1, respectively. The better characterized isoform, THR1, is a transcriptional stimulator of genes involved in cell metabolism and growth.

A Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve Confidence.

Intracerebral hemorrhage (ICH) and perihematomal edema (PHE) are key imaging markers of primary and secondary brain injury in hemorrhagic stroke. Accurate segmentation and quantification of ICH and PHE can help with prognostication and guide treatment planning. In this study, we combined Swin-Unet Transformers with nnU-NETv2 convolutional network for segmentation of ICH and PHE on non-contrast head CTs.

Adalimumab Autoantibodies in Uveitis Patients: Do We Need Routine Drug Monitoring?

Background: Adalimumab, an anti-TNF-α biologic agent, has emerged as a principal treatment option for patients with non-infectious uveitis. The influence of adalimumab anti-drug antibodies (AAA) on the efficacy of adalimumab therapy is not yet fully understood. We aim to understand their clinical implications in the context of therapeutic drug monitoring and the factors contributing to the formation of these antibodies.

External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis.

Background: Machine learning (ML) is increasingly used to predict clinical deterioration in intensive care unit (ICU) patients through scoring systems. Although promising, such algorithms often overfit their training cohort and perform worse at new hospitals. Thus, external validation is a critical - but frequently overlooked - step to establish the reliability of predicted risk scores to translate them into clinical practice.

Association between resolution of MRI-detected inflammation and improved clinical outcomes in axial spondyloarthritis under long-term anti-TNF therapy.

Objectives: In this post-hoc analysis of ESTHER trial, we aimed to investigate the longitudinal relationship between inflammation on MRI and the achievement of inactive disease/low disease activity in patients with axial spondyloarthritis (axSpA) treated with long-term tumor necrosis factor (TNF) inhibitor etanercept.

Methods: Of the 76 patients with active axSpA in the ESTHER trial, we included all patients treated with etanercept for at least 6 months for main analysis. All clinical and MRI data from 4.

Examining the Emotional and Physical Health Impact in Users of Open-Source Automated Insulin Delivery and Sources of Support: Qualitative Analysis of Patient Narratives.

Background: Although commercially developed automated insulin delivery (AID) systems have recently been approved and become available in a limited number of countries, they are not universally available, accessible, or affordable. Therefore, open-source AID systems, cocreated by an online community of people with diabetes and their families behind the hashtag #WeAreNotWaiting, have become increasingly popular.

Objective: This study focused on examining the lived experiences, physical and emotional health implications of people with diabetes following the initiation of open-source AID systems, their perceived challenges, and their sources of support, which have not been explored in the existing literature.

Deep learning enabled near-isotropic CAIPIRINHA VIBE in the nephrogenic phase improves image quality and renal lesion conspicuity.

Background: Deep learning (DL) accelerated controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA)-volumetric interpolated breath-hold examination (VIBE), provides high spatial resolution T1-weighted imaging of the upper abdomen. We aimed to investigate whether DL-CAIPIRINHA-VIBE can improve image quality, vessel conspicuity, and lesion detectability compared to a standard CAIPIRINHA-VIBE in renal imaging at 3 Tesla.

Methods: In this prospective study, 50 patients with 23 solid and 45 cystic renal lesions underwent MRI with clinical MR sequences, including standard CAIPIRINHA-VIBE and DL-CAIPIRINHA-VIBE sequences in the nephrographic phase at 3 Tesla.

Development of point-of-care tests for urinary bladder cancer - an historic review and view to future prospectives.

Urine is an attractive biospecimen for noninvasive tests to facilitate bladder tumor diagnostics. Three different point-of-care (POC) tests based on lateral flow immunoassays (LFAs) are currently commercially available: UBC® Rapid Test, BTA stat®, and NMP22 BladderChek. The present review discusses these different tests based on their performance, clinical utility and the nature of the respective analytes.

The sarcoma ring trial: a case-based analysis of inter-center agreement across 21 German-speaking sarcoma centers.

Purpose: The management of soft tissue sarcoma (STS) at reference centers with specialized multidisciplinary tumor boards (MTB) improves patient survival. The German Cancer Society (DKG) certifies sarcoma centers in German-speaking countries, promoting high standards of care. This study investigated the variability in treatment recommendations for localized STS across different German-speaking tertiary sarcoma centers.

Analyzing the TotalSegmentator for facial feature removal in head CT scans.

Background: Facial recognition technology in medical imaging, particularly with head scans, poses privacy risks due to identifiable facial features. This study evaluates the use of facial recognition software in identifying facial features from head CT scans and explores a defacing pipeline using TotalSegmentator to reduce re-identification risks while preserving data integrity for research.

Methods: 1404 high-quality renderings from the UCLH EIT Stroke dataset, both with and without defacing were analysed.

Nonhuman primate antigenic cartography of SARS-CoV-2.

Virus neutralization profiles against primary infection sera and corresponding antigenic cartography are integral part of the COVID-19 and influenza vaccine strain selection processes. Human single variant exposure sera have previously defined the antigenic relationships among SARS-CoV-2 variants but are now largely unavailable due to widespread population immunity. Therefore, antigenic characterization of future SARS-CoV-2 variants will require an animal model, analogous to using ferrets for influenza virus.