Publications by authors named "Jenke A"

Article Synopsis
  • Image-guided laparoscopic surgery faces challenges when soft-tissue structures deform or move out of view, making it difficult to keep track of them accurately.
  • Traditional methods like registration struggle in these dynamic situations, as they rely on continuously updated mappings of the tissues.
  • The proposed solution uses a Graph Neural Network to predict the states of these deformed tissues by analyzing stereo laparoscopic videos, allowing for more accurate navigation and understanding in real-time surgical contexts.
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Objective: Epigenetic mechanisms, including DNA methylation (DNAm), have been proposed to play a key role in Crohn's disease (CD) pathogenesis. However, the specific cell types and pathways affected as well as their potential impact on disease phenotype and outcome remain unknown. We set out to investigate the role of intestinal epithelial DNAm in CD pathogenesis.

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Purpose: Understanding surgical scenes is crucial for computer-assisted surgery systems to provide intelligent assistance functionality. One way of achieving this is via scene segmentation using machine learning (ML). However, such ML models require large amounts of annotated training data, containing examples of all relevant object classes, which are rarely available.

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Objectives: Sodium homeostasis in extremely low birth weight (ELBW) infants is critical. While a lack of sodium delays growth, excessive supplementation increases morbidity.

Methods: We performed a single-center retrospective study on sodium and fluid management during the first 2 weeks of live including all ELBW infants born between June 1, 2017 and May 31, 2019.

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Objectives: Abdominal pain (AP) in children imposes a large economic burden on the healthcare system. Currently, there are no reliable diagnostic tools to differentiate between organic and functional disorders. We hypothesized from previous research that the analysis of patients' graphic expression of subjective symptoms as well as their interactional behavior adds new ways to differentiate between functional and organic AP.

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Article Synopsis
  • - Stratified and precision nutrition focuses on tailoring dietary interventions to an individual's unique traits and environment to manage or prevent inflammatory bowel disease (IBD).
  • - A literature review revealed four key themes in the context of IBD: nutrition's role in predicting IBD risk, food-based interventions, exclusive enteral nutrition (EEN) for Crohn's disease, and the use of pre- and probiotics in management.
  • - There is a lack of sufficient evidence to provide specific dietary recommendations for IBD, necessitating further research to confirm initial findings and establish effective interventions.
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Background: With Surgomics, we aim for personalized prediction of the patient's surgical outcome using machine-learning (ML) on multimodal intraoperative data to extract surgomic features as surgical process characteristics. As high-quality annotations by medical experts are crucial, but still a bottleneck, we prospectively investigate active learning (AL) to reduce annotation effort and present automatic recognition of surgomic features.

Methods: To establish a process for development of surgomic features, ten video-based features related to bleeding, as highly relevant intraoperative complication, were chosen.

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Background: Hepatitis C remains highly prevalent among people who inject drugs (PWIDs). We propose an integrated approach for screening/diagnostic testing and treatment in 6,665 Viennese PWIDs registered to access opioid agonist therapy (OAT).

Methods: OAT prescriptions were required monthly at one of nine approved authorities, making them ideal platforms for hepatitis C virus (HCV) screening.

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Article Synopsis
  • Lack of anatomy recognition in abdominal surgery poses a significant risk, and machine learning (ML) could potentially help identify important anatomical structures.
  • A study created advanced segmentation models using a dataset of 13,195 laparoscopic images, comparing their performance to that of a group of 28 human participants on pancreas segmentation.
  • Results showed that the ML models, particularly the DeepLabv3-based models, significantly outperformed most human participants and can operate in near-real-time, suggesting ML's valuable role in assisting with anatomy recognition in minimally invasive surgeries.
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We report a 2.5-year-old boy who was presented with acute lower gastrointestinal bleeding. Emergency endoscopy showed two active mucosal bleeding sites that were successfully clipped.

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Article Synopsis
  • Context-aware decision support in operating rooms enhances surgical safety and efficiency by utilizing real-time feedback from workflow analysis, but current methods often miss detailed interactions needed for effective AI assistance.
  • The paper introduces CholecTriplet2021, a challenge aimed at recognizing surgical action triplets (instrument, verb, target) in laparoscopic videos, using the CholecT50 dataset annotated with such triplet information.
  • It presents the challenge's setup, results from various deep learning methods (with mean average precision ranging from 4.2% to 38.1%), and proposes future research directions to improve fine-grained surgical activity recognition in the field of AI-assisted surgery.
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Background: Human breast milk has a high microRNA (miRNA) content. It remains unknown whether and how milk miRNAs might affect intestinal gene regulation and homeostasis of the developing microbiome after initiating enteral nutrition. However, this requires that relevant milk miRNA amounts survive the gastrointestinal (GI) passage, are taken up by cells, and become available to the RNA interference machinery.

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Laparoscopy is an imaging technique that enables minimally-invasive procedures in various medical disciplines including abdominal surgery, gynaecology and urology. To date, publicly available laparoscopic image datasets are mostly limited to general classifications of data, semantic segmentations of surgical instruments and low-volume weak annotations of specific abdominal organs. The Dresden Surgical Anatomy Dataset provides semantic segmentations of eight abdominal organs (colon, liver, pancreas, small intestine, spleen, stomach, ureter, vesicular glands), the abdominal wall and two vessel structures (inferior mesenteric artery, intestinal veins) in laparoscopic view.

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Article Synopsis
  • Surgomics is a new approach to personalized medicine that focuses on analyzing intraoperative surgical data using machine learning to improve individualized surgical care.
  • A study identified 52 surgomic features from various data sources, with experts rating "surgical skill and quality of performance" as the most clinically relevant and "Instrument" as the most feasible to extract automatically.
  • The findings suggest that integrating Surgomics with other preoperative data can enhance patient care by understanding the processes of surgery better and predicting outcomes more accurately.
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Background: It remains unclear whether the Rho-kinase (ROCK) inhibition in combination with mechanical circulatory support (MCS) had a synergic protective effect on myocardial ischemia (MI)/reperfusion injury in therapeutic strategies for acute myocardial infarction (AMI). We report the results of an approach using a rat model consisting of a miniaturized cardiopulmonary bypass (CPB) and AMI.

Methods: A total of 25 male Wistar rats were randomized into 5 groups: (1) Sham: a suture was passed under the left anterior descending artery (LAD) creating no MI.

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Background: In the absence of randomised trials for paediatric multisystem inflammatory syndrome temporally associated with SARS-CoV2 (PIMS-TS), optimal management of PIMS-TS-patients remains somewhat uncertain. We aimed to evaluate the practicability of consensus diagnostic/therapeutic pathways in a real-life German hospital setting.

Methods: All children treated for PIMS-TS (February to November, 2021) at the Childrens' Hospital Kassel were analysed retrospectively.

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Recent research breakthroughs have emerged from applied basic research throughout all scientific areas, including adult and paediatric gastroenterology, hepatology and nutrition (PGHAN). The research landscape within the European Society of Paediatric Gastroenterology and Nutrition (ESPGHAN) is also inevitably changing from clinical research to studies involving applied laboratory research. This position paper aims to depict the current status quo of basic science and translational research within ESPGHAN, and to delineate how the society could invest in research in the present and future time.

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Inflammatory bowel diseases (IBDs) are lifelong conditions causing relapsing inflammation of the intestine. In the absence of a cure, clinical management of IBDs is extremely challenging since they present with a wide range of phenotypes and disease behaviors. Hence, there is an urgent need for markers that could guide physicians in making the right choice of the rapidly growing treatment options toward a personalized care that could improve the overall outcome.

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Background: Reverse transcription of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (+)RNA genome and subgenomic RNAs (sgRNAs) and subsequent quantitative polymerase chain reaction (RT-qPCR) is the reliable diagnostic gold standard for COVID-19 diagnosis and the identification of potential spreaders. Apart from clinical relevance and containment, for specific questions, it might be of interest to (re)investigate cases with low SARS-CoV-2 load, where RT-qPCR alone can deliver conflicting results, even though these cases might neither be clinically relevant nor significant for containment measures, because they might probably not be infectious. In order to expand the diagnostic bandwidth for non-routine questions, particularly for the reliable discrimination between negative and false-negative specimens associated with high C values, we combined the RT-qPCR workflow with subsequent pyrosequencing of a S-gene amplicon.

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Background Cardiac surgery using cardiopulmonary bypass (CPB) frequently provokes a systemic inflammatory response syndrome, which is triggered by TLR4 (Toll-like receptor 4) and TNF-α (tumor necrosis factor α) signaling. Here, we investigated whether the adiponectin receptor 1 and 2 agonist AdipoRon modulates CPB-induced inflammation and cardiac dysfunction. Methods and Results Rats underwent CPB with deep hypothermic circulatory arrest and were finally weaned from the heart-lung machine.

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The infant was born at a gestational age of 28 + 2 weeks as second twin to a 26-year-old woman, G1/P0, due to eclampsia. The patient developed well and was on full oral feeds when he started to develop nonbilious vomiting at 5 weeks. He was diagnosed with pyloric hypertrophy and underwent pylorotomy, but the condition did not improve and the patient was referred to our hospital.

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Calcific aortic valve disease (CAVD) is characterized by valvular fibrosis and calcification and driven by differentiating valvular interstitial cells (VICs). Expression data from patient biopsies suggest that transforming growth factor (TGF)-β1 is implicated in CAVD pathogenesis. However, CAVD models using isolated VICs failed to deliver clear evidence on the role of TGF-β1.

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The use of cardiopulmonary bypass (CPB) results in the activation of leukocytes, release of neutrophil extracellular traps (NETs) and severe inflammation. We hypothesize that targeting of circulating cell-free DNA (cfDNA) by DNases might represent a feasible therapeutic strategy to limit CPB-associated side effects. Male Wistar rats (n = 24) underwent CPB with deep hypothermic circulatory arrest (DHCA) and were divided into 3 groups: control (group 1), one i.

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Background: Until today, classic human astroviruses have not been associated with central nervous system infections in immunocompetent patients.

Case Presentation: A 16-month-old Caucasian girl presented with repetitive generalized seizures with a 4-day history of watery diarrhea, which had already gradually improved. Initially, the prolonged seizures ceased after systemic midazolam treatment and were thought to be fever associated.

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