Publications by authors named "ROOS J"

Objective: The aim of this single-center case series is to demonstrate that an ultra-low dose (ULD) can be routinely achieved in the hybrid operating room in standard endovascular aortic repair (EVAR) for infrarenal abdominal aortic aneurysm by adjusting the manufacturer's predefined imaging parameters, hardware configurations and user protocols (including benchmarking).

Methods: The hybrid operating room manufacturer predefined EVAR software setup of the dose exposure control software (OPTIQ, Siemens Healthineers, Forchheim, Germany) at our university medical center was screened for possible improvements regarding radiation dose application. Tests on a water-equivalent as well as polymethyl methacrylate phantom model to assess the impact of technical settings were performed, including comparison of settings for exposure control software, different magnification, collimation configurations and detector distance.

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Background: While patient and public involvement (PPI) in clinical research contributes substantially to research ethics, feasibility and quality, the uptake and implementation of PPI-based approaches in Switzerland remain unknown. This study aimed to evaluate the current state and acceptance of PPI in academic clinical research in Switzerland, with the goal of developing recommendations for its future implementation and development.

Methods: A sequential explanatory mixed-methods study was conducted to assess the current landscape and acceptance of PPI in academic clinical research across different stakeholder groups in Switzerland.

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In 2015, around 4400 individuals received a diagnosis of lung cancer, and Switzerland recorded approximately 3200 deaths related to lung cancer. Advances in detection, such as lung cancer screening and improved treatments, have led to increased identification of early-stage lung cancer and higher chances of long-term survival. This progress has introduced new considerations in imaging, emphasising non-invasive diagnosis and characterisation techniques like radiomics.

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The treatment of acetabular defects in revision arthroplasty is an increasing challenge. Different classifications have been introduced for preoperative planning to achieve the best possible result. 3D printing is a way to better visualize and understand these defects.

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Native knee joint infections, while uncommon, present a serious condition predominantly instigated by bacteria such as . Without timely intervention, they can result in joint destruction or sepsis, with risk factors encompassing preexisting medical conditions and iatrogenic procedures. The diagnostic process includes a comprehensive patient history, clinical evaluation, laboratory testing, imaging studies, and microbiological investigations.

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Background: The rapid development of large language models (LLMs) such as OpenAI's ChatGPT has significantly impacted medical research and education. These models have shown potential in fields ranging from radiological imaging interpretation to medical licensing examination assistance. Recently, LLMs have been enhanced with image recognition capabilities.

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Glioblastoma cells rely on connexin 43 (Cx43)-based gap junctions (GJs) for intercellular communication, enabling them to integrate into a widely branched malignant network. Although there are promising prospects for new targeted therapies, the lack of clinically feasible GJ inhibitors has impeded their adoption in clinical practice. In the present study, we investigated tonabersat (TO), a blood-brain-barrier-penetrating drug with GJ-inhibitory properties, in regard to its potential to disassemble intercellular connectivity in glioblastoma networks.

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Background: As the digital health landscape continues to evolve, analyzing the progress and direction of the field can yield valuable insights. The Journal of Medical Internet Research (JMIR) has been at the forefront of disseminating digital health research since 1999. A comprehensive network analysis of JMIR publications can help illuminate the evolution and trends in digital medicine over the past 25 years.

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Article Synopsis
  • The case discusses a rare instance of bilateral traumatic sternoclavicular dislocations in a 27-year-old male cyclist who experienced significant injuries during a race.
  • Immediate and collaborative surgical intervention was crucial for the patient's recovery, with the absence of complications noted during a 1-year follow-up.
  • The report emphasizes the importance of comprehensive trauma management in complex cases, showcasing this injury's rarity and the effectiveness of quick transportation to specialized care facilities.
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Objectives: This study evaluates the impact of liver steatosis on the discriminative ability for liver fibrosis and inflammation using a novel Dixon water-only fat-corrected Look-Locker T1 mapping sequence, compared with a standard shortened Modified Look-Locker Inversion Recovery (shMOLLI) sequence, with the aim of overcoming the limitation of steatosis-related confounding in liver T1 mapping.

Materials And Methods: 3 T magnetic resonance imaging of the liver including the 2 T1 mapping sequences and proton density fat fraction (PDFF) was prospectively performed in 24 healthy volunteers and 38 patients with histologically proven liver fibrosis evaluated within 90 days of liver biopsy. Paired Mann-Whitney test compared sequences between participants with and without significant liver steatosis (PDFF cutoff 10%), and unpaired Kruskal-Wallis test compared healthy volunteers to patients with early (F0-2) and advanced (F3-4) liver fibrosis, as well as low (A0-1) and marked (A2-3) inflammatory activity.

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Nitro-fatty acids (NO-FAs) are endogenous pleiotropic lipid mediators regarded as promising drug candidates for treating inflammatory and fibrotic diseases. Over the past two decades, the anti-inflammatory and cytoprotective actions of NO-FAs and several molecular targets have been identified. More recently, preclinical studies have demonstrated their potential as prospective cancer therapeutics with favorable safety and tumor-selective profiles.

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Objective: In the absence of head-to-head clinical trials, matching-adjusted indirect comparison (MAIC) was used to compare two Bruton tyrosine kinase inhibitors (BTKis) approved for the treatment of relapsed/refractory (R/R) mantle cell lymphoma (MCL). This analysis compares the efficacy and safety of acalabrutinib versus ibrutinib using a more mature dataset than a previously published MAIC.

Methods: Individual patient data from 122 patients treated with acalabrutinib in a phase 2 study were weighted to match aggregate baseline characteristics of patients pooled from three separate trials of ibrutinib.

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Purpose: The goal of this retrospective study was to perform a CT imaging assessment of thoracic pedicles to provide a representative understanding of pedicle morphology for pedicle-based fixation systems commonly used in orthopedics, trauma and neurosurgery. This study aimed to better understand the morphology of the spine and give spine surgeons a better understanding of thoracic spine anatomy.

Methods: In this study, we retrospectively measured the thoracic spine pedicles of a total of 16 males and 16 females, totaling in 768 individual pedicles.

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Purpose: Periprosthetic loosening is a major complication after total hip and knee arthroplasty. Early and accurate diagnosis is essential to choose the right therapeutic path and to avoid further complications. The aim of the study was to evaluate the diagnostic performance of Gallium-Zoledronate ([Ga]Ga-DOTA) PET/CT in detecting periprosthetic loosening in total hip (THA) and total knee arthroplasty (TKA).

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The study aimed to evaluate the impact of AI assistance on pulmonary nodule detection rates among radiology residents and senior radiologists, along with assessing the effectiveness of two different commercialy available AI software systems in improving detection rates and LungRADS classification in chest CT. The study cohort included 198 participants with 221 pulmonary nodules. Residents' mean detection rate increased significantly from 64 to 77% with AI assist, while seniors' detection rate remained largely unchanged (85% vs.

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Quantitative microscopy workflows have evolved dramatically over the past years, progressively becoming more complex with the emergence of deep learning. Long-standing challenges such as three-dimensional segmentation of complex microscopy data can finally be addressed, and new imaging modalities are breaking records in both resolution and acquisition speed, generating gigabytes if not terabytes of data per day. With this shift in bioimage workflows comes an increasing need for efficient orchestration and data management, necessitating multitool interoperability and the ability to span dedicated computing resources.

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Purpose: This study aimed to analyze the predictive value of caudate to right lobe ratio (CRL-R) and liver segmental volume ratio (LSVR) for chronic liver disease (CLD) on routine abdominal CT scans and their association with 5-year decompensation- and transplant-free survival.

Method: This retrospective study included 108 patients without CLD and 98 patients with biopsy-proven CLD. All patients underwent abdominal CT scans between 03/2015 and 08/2017.

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According to the United Nations, around 8,400 people have been injured and over 5,800 killed on the Ukrainian side in the Ukraine war, which has been going on for over 14 months. Extensive humanitarian aid operations were carried out to support Ukraine, so that war-wounded people from Ukraine were also cared for in Germany. In a retrospective cohort study, 10 patients were examined who were treated in the department between February 24th 2022 and February 24th 2023, using the cloverleaf system from Ukraine.

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This study evaluates multimodal AI models' accuracy and responsiveness in answering NEJM Image Challenge questions, juxtaposed with human collective intelligence, underscoring AI's potential and current limitations in clinical diagnostics. Anthropic's Claude 3 family demonstrated the highest accuracy among the evaluated AI models, surpassing the average human accuracy, while collective human decision-making outperformed all AI models. GPT-4 Vision Preview exhibited selectivity, responding more to easier questions with smaller images and longer questions.

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. Parkinson patients often suffer from motor impairments such as tremor and freezing of movement that can be difficult to treat. To unfreeze movement, it has been suggested to provide sensory stimuli.

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The axon initial segment (AIS) constitutes not only the site of action potential initiation, but also a hub for activity-dependent modulation of output generation. Recent studies shedding light on AIS function used predominantly post-hoc approaches since no robust murine live reporters exist. Here, we introduce a reporter line in which the AIS is intrinsically labeled by an ankyrin-G-GFP fusion protein activated by Cre recombinase, tagging the native gene.

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Article Synopsis
  • German-speaking experts in plastic surgery convene annually at a major conference to discuss the latest advancements and their impact on the field, specifically the DGPRÄC and VDÄPC joint meeting.
  • A retrospective analysis of 299 abstract titles from the 2023 conference revealed key themes and connections within the field, highlighted by prominent keywords like 'Surgery,' 'Breast,' and 'Reconstruction.'
  • The study utilized network analysis to uncover significant research areas and relationships within the data, emphasizing the importance of this method in understanding complex information in plastic surgery.
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Background: The integration of artificial intelligence (AI) in medicine, particularly through AI-based language models like ChatGPT, offers a promising avenue for enhancing patient education and healthcare delivery. This study aims to evaluate the quality of medical information provided by Chat Generative Pre-trained Transformer (ChatGPT) regarding common orthopedic and trauma surgical procedures, assess its limitations, and explore its potential as a supplementary source for patient education.

Methods: Using the GPT-3.

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