endotracheal-intubation-via-tracheotomy-subsequent-thoracotomy-rats

Endotracheal Intubation via Tracheotomy and Subsequent Thoracotomy in Rats for Non-Survival Applications

Endotracheal intubation and subsequent ventilation are often basic requirements for translational research in rat models for various interventions that ...

controlled-reversible-visceral-arterial-ischemia-venous-congestion

Controlled Reversible Visceral Arterial Ischemia, Venous Congestion and Combined Malperfusion via Midline Laparotomy in Rats

Besides sepsis and malignancy, malperfusion is the third leading cause of tissue degradation and a major pathomechanism for various medical and surgical ...

56-nephrectomy-using-sharp-bipolectomy-via-midline-laparotomy-in-rats

5/6 Nephrectomy Using Sharp Bipolectomy Via Midline Laparotomy in Rats

Chronic kidney disease (CKD) affects over 10% of the global population, amounting to more than 800 million individuals worldwide. The advances in the ...

wire-calibrated-induction-segmental-ureteral-strictures-rats-via

Wire-Calibrated Induction of Segmental Ureteral Strictures in Rats <em>via</em> Midline Laparotomy

Ureteral strictures remain a major challenge in reconstructive urology and can arise from iatrogenic injury, chronic inflammation, trauma, congenital ...

standardized-ileal-bladder-augmentation-for-enterocystoplasty-rats

Standardized Ileal Bladder Augmentation For Enterocystoplasty In Rats via Midline Laparotomy

Bladder augmentation using intestinal segments remains a cornerstone reconstructive procedure for patients with low-capacity or poorly compliant bladders ...

Heidelberg University Hospital

A bioartificial endocrine pancreas is proposed as a future alternative to current treatment options. Patients with insulin-secretion deficiency might benefit. This is the first systematic review that provides an overview of scaffold materials and techniques for insulin-secreting cells or cells to be differentiated into insulin-secreting cells. An electronic literature survey was conducted in PubMed/MEDLINE and Web of Science, limited to the past 10 years. A total of 197 articles investigating 60 different materials met the inclusion criteria. The extracted data on materials, cell types, study design, and transplantation sites were plotted into two evidence gap maps. Integral parts of the tissue engineering network such as fabrication technique, extracellular matrix, vascularization, immunoprotection, suitable transplantation sites, and the use of stem cells are highlighted. This systematic review provides an evidence-based structure for future studies. Accumulating evidence shows that scaffold-based tissue engineering can enhance the viability and function or differentiation of insulin-secreting cells both in vitro and in vivo.

The emerging field of pancreatic tissue engineering: A systematic review and evidence map of scaffold materials and scaffolding techniques for insulin-secreting cells.

The COVID-19 pandemic has worldwide individual and socioeconomic consequences. Chest computed tomography has been found to support diagnostics and disease monitoring. A standardized approach to generate, collect, analyze, and share clinical and imaging information in the highest quality possible is urgently needed. We developed systematic, computer-assisted and context-guided electronic data capture on the FDA-approved mint Lesion software platform to enable cloud-based data collection and real-time analysis. The acquisition and annotation include radiological findings and radiomics performed directly on primary imaging data together with information from the patient history and clinical data. As proof of concept, anonymized data of 283 patients with either suspected or confirmed SARS-CoV-2 infection from eight European medical centers were aggregated in data analysis dashboards. Aggregated data were compared to key findings of landmark research literature. This concept has been chosen for use in the national COVID-19 response of the radiological departments of all university hospitals in Germany.

A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data.

Visual discrimination of tissue during surgery can be challenging since different tissues appear similar to the human eye. Hyperspectral imaging (HSI) removes this limitation by associating each pixel with high-dimensional spectral information. While previous work has shown its general potential to discriminate tissue, clinical translation has been limited due to the method's current lack of robustness and generalizability. Specifically, the scientific community is lacking a comprehensive spectral tissue atlas, and it is unknown whether variability in spectral reflectance is primarily explained by tissue type rather than the recorded individual or specific acquisition conditions. The contribution of this work is threefold: (1) Based on an annotated medical HSI data set (9059 images from 46 pigs), we present a tissue atlas featuring spectral fingerprints of 20 different porcine organs and tissue types. (2) Using the principle of mixed model analysis, we show that the greatest source of variability related to HSI images is the organ under observation. (3) We show that HSI-based fully-automatic tissue differentiation of 20 organ classes with deep neural networks is possible with high accuracy (> 95%). We conclude from our study that automatic tissue discrimination based on HSI data is feasible and could thus aid in intraoperative decisionmaking and pave the way for context-aware computer-assisted surgery systems and autonomous robotics.

Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model.

Small bowel malperfusion (SBM) can cause high morbidity and severe surgical consequences. However, there is no standardized objective measuring tool for the quantification of SBM. Indocyanine green (ICG) imaging can be used for visualization, but lacks standardization and objectivity. Hyperspectral imaging (HSI) as a newly emerging technology in medicine might present advantages over conventional ICG fluorescence or in combination with it.

ICG-augmented hyperspectral imaging for visualization of intestinal perfusion compared to conventional ICG fluorescence imaging: an experimental study.

Exocrine and endocrine pancreas are interconnected anatomically and functionally, with vasculature facilitating bidirectional communication. Our understanding of this network remains limited, largely due to two-dimensional histology and missing combination with three-dimensional imaging. In this study, a multiscale 3D-imaging process was used to analyze a porcine pancreas. Clinical computed tomography, digital volume tomography, micro-computed tomography and Synchrotron-based propagation-based imaging were applied consecutively. Fields of view correlated inversely with attainable resolution from a whole organism level down to capillary structures with a voxel edge length of 2.0 µm. Segmented vascular networks from 3D-imaging data were correlated with tissue sections stained by immunohistochemistry and revealed highly vascularized regions to be intra-islet capillaries of islets of Langerhans. Generated 3D-datasets allowed for three-dimensional qualitative and quantitative organ and vessel structure analysis. Beyond this study, the method shows potential for application across a wide range of patho-morphology analyses and might possibly provide microstructural blueprints for biotissue engineering.

Multiscale and multimodal imaging for three-dimensional vascular and histomorphological organ structure analysis of the pancreas.

Oncologic esophagectomy is a two-cavity procedure with considerable morbidity and mortality. Complex anatomy and the proximity to major vessels constitute a risk for massive intraoperative hemorrhage. Currently, there is no conclusive consensus on the ideal anesthesiologic countermeasure in case of such immense blood loss. The objective of this work was to identify the most promising anesthesiologic management in case of intraoperative hemorrhage with regards to tissue perfusion of the gastric conduit during esophagectomy using hyperspectral imaging.

Crystalloid volume versus catecholamines for management of hemorrhagic shock during esophagectomy: assessment of microcirculatory tissue oxygenation of the gastric conduit in a porcine model using hyperspectral imaging - an experimental study.

Among advanced therapy medicinal products, tissue-engineered products have the potential to address the current critical shortage of donor organs and provide future alternative options in organ replacement therapy. The clinically available tissue-engineered products comprise bradytrophic tissue such as skin, cornea, and cartilage. A sufficient macro- and microvascular network to support the viability and function of effector cells has been identified as one of the main challenges in developing bioartificial parenchymal tissue. Three-dimensional bioprinting is an emerging technology that might overcome this challenge by precise spatial bioink deposition for the generation of a predefined architecture. Bioinks are printing substrates that may contain cells, matrix compounds, and signaling molecules within support materials such as hydrogels. Bioinks can provide cues to promote vascularization, including proangiogenic signaling molecules and cocultured cells. Both of these strategies are reported to enhance vascularization. We review pre-, intra-, and postprinting strategies such as bioink composition, bioprinting platforms, and material deposition strategies for building vascularized tissue. In addition, bioconvergence approaches such as computer simulation and artificial intelligence can support current experimental designs. Imaging-derived vascular trees can serve as blueprints. While acknowledging that a lack of structured evidence inhibits further meta-analysis, this review discusses an end-to-end process for the fabrication of vascularized, parenchymal tissue.

Vascularization in Bioartificial Parenchymal Tissue: Bioink and Bioprinting Strategies.

Immersive virtual reality (iVR) has emerged as a training method to prepare medical first responders (MFRs) for mass casualty incidents (MCIs) and disasters in a resource-efficient, flexible, and safe manner. However, systematic evaluations and validations of potential performance indicators for virtual MCI training are still lacking.

Mass Casualty Incident Training in Immersive Virtual Reality: Quasi-Experimental Evaluation of Multimethod Performance Indicators.

High intrarenal pressure (IRP) is a significant concern in both endoscopic procedures and acute hydronephrosis, and may cause renal parenchymal damage, forniceal rupture, and long-term impaired renal function. Its pathomechanism and effect on renal perfusion patterns remain undetermined. This study investigates the impact of elevated IRP on renal perfusion and oxygen saturation (StO) using hyperspectral imaging (HSI).

Hyperspectral Imaging Accurately Detects Renal Malperfusion Due to High Intrarenal Pressure.

Conventional histopathology faces methodological limitations when assessing complex three-dimensional tissue architectures. In particular, for heterogeneous tissues such as the pancreas or in complex tissue pathologies, restriction to two-dimensional sections hampers comprehensive recognition of morphological features.

[Virtual histopathology of the pancreas: 3D insights using synchrotron-based imaging].

Mass casualty incidents (MCIs) rapidly exceed routine hospital capacity. Full-scale exercises are essential for preparedness, but systematic, multidimensional evaluations remain scarce. This study aimed to evaluate overall team performance in triage accuracy, workflow, and individual workload throughout a MCI exercise.

Improving preparedness for mass casualty incidents in hospitals: insights from a large-scale simulation exercise with geotracking and validated questionnaires.

ArticleTotal : 5	Year
Publication title	2024
Publication title	2024
Publication title	2025
Publication title	2026
Publication title	2026

Article	Year
The emerging field of pancreatic tissue engineering: A systematic review and evidence map of scaffold materials and scaffolding techniques for insulin-secreting cells. Journal of tissue engineering\| PubMed ID: 31700597	2019
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data. NPJ digital medicine\| PubMed ID: 33846548	2021
Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model. Scientific reports\| PubMed ID: 35773276	2022
ICG-augmented hyperspectral imaging for visualization of intestinal perfusion compared to conventional ICG fluorescence imaging: an experimental study. International journal of surgery (London, England)\| PubMed ID: 38258996	2023
Multiscale and multimodal imaging for three-dimensional vascular and histomorphological organ structure analysis of the pancreas. Scientific reports\| PubMed ID: 38698049	2024
Crystalloid volume versus catecholamines for management of hemorrhagic shock during esophagectomy: assessment of microcirculatory tissue oxygenation of the gastric conduit in a porcine model... International journal of surgery (London, England)\| PubMed ID: 38976902	2024
Vascularization in Bioartificial Parenchymal Tissue: Bioink and Bioprinting Strategies. International journal of molecular sciences\| PubMed ID: 35955720	2022
Mass Casualty Incident Training in Immersive Virtual Reality: Quasi-Experimental Evaluation of Multimethod Performance Indicators. Journal of medical Internet research\| PubMed ID: 39869892	2025
Hyperspectral Imaging Accurately Detects Renal Malperfusion Due to High Intrarenal Pressure. European urology open science\| PubMed ID: 40688377	2025
[Virtual histopathology of the pancreas: 3D insights using synchrotron-based imaging]. Pathologie (Heidelberg, Germany)\| PubMed ID: 41504925	2026
Improving preparedness for mass casualty incidents in hospitals: insights from a large-scale simulation exercise with geotracking and validated questionnaires. BMC emergency medicine\| PubMed ID: 41803710	2026

Gabriel Alexander Salg

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