A5102711456- Spectroscopy Techniques in Biomedical and Chemical Research
- Brain Tumor Detection and Classification
- Digital Imaging for Blood Diseases
- Radiomics and Machine Learning in Medical Imaging
- Brain Metastases and Treatment
- Glioma Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Lung Cancer Research Studies
- Lung Cancer Treatments and Mutations
- Molecular Biology Techniques and Applications
- Advanced X-ray and CT Imaging
- Photoacoustic and Ultrasonic Imaging
- Advances in Oncology and Radiotherapy
- Lung Cancer Diagnosis and Treatment
- Cancer Immunotherapy and Biomarkers
- Cutaneous Melanoma Detection and Management
- Medical Imaging and Analysis
- Colorectal Cancer Treatments and Studies
- Glutathione Transferases and Polymorphisms
- Paleopathology and ancient diseases
- Artificial Intelligence in Healthcare and Education
- Fetal and Pediatric Neurological Disorders
- Melanoma and MAPK Pathways
- Advanced Electron Microscopy Techniques and Applications
- Neurofibromatosis and Schwannoma Cases
University Hospital Cologne
2020-2025
University of Cologne
2020-2025
Universität Hamburg
2024
University Medical Center Hamburg-Eppendorf
2024
Hôpital Notre-Dame
2014
Centre Hospitalier de l’Université de Montréal
2014
Malignant melanoma is an aggressive skin cancer in which brain metastases are common. Our aim was to establish and evaluate a deep learning model for fully automated detection segmentation of patients with malignant using clinical routine MR imaging.Sixty-nine total 135 at initial diagnosis available multiparametric imaging datasets (T1-/T2-weighted, T1-weighted gadolinium contrast-enhanced, FLAIR) were included. A previously established architecture (3D convolutional neural network;...
The intrinsic autofluorescence of biological tissues interferes with the detection fluorophores administered for fluorescence guidance, an emerging auxiliary technique in oncological surgery. Yet, human brain and its neoplasia is sparsely examined. This study aims to assess on a microscopic level by stimulated Raman histology (SRH) combined two-photon fluorescence.With this experimentally established label-free microscopy unprocessed tissue can be imaged analyzed within minutes process...
Abstract Background The BRAF V600E mutation is present in approximately 50% of patients with melanoma brain metastases and an important prerequisite for response to targeted therapies, particularly inhibitors. As heterogeneity terms status may occur patients, a wild-type extracranial primary tumor does not necessarily rule out targetable using We evaluated the potential MRI radiomics noninvasive prediction intracranial status. Methods Fifty-nine from two university centers (group 1, 45...
While immune checkpoint inhibitors (ICIs) in combination with radiotherapy (RT) are widely used for patients brain metastasis (BM), markers that predict treatment response combined RT and ICI (RT-ICI) their optimal dosing sequence the best immunogenic effects still under investigation. The aim of this study was to evaluate prognostic factors therapeutic outcome compare concurrent non-concurrent RT-ICI. We retrospectively analyzed data 93 319 BMs different cancer types who received PD-1 at...
The expression level of the programmed cell death ligand 1 (PD-L1) appears to be a predictor for response immunotherapy using checkpoint inhibitors in patients with non-small lung cancer (NSCLC). As differences terms PD-L1 levels extracranial primary tumor and brain metastases may occur, reliable method non-invasive assessment intracranial is, therefore clinical value. Here, we evaluated potential radiomics prediction secondary NSCLC.Fifty-three NSCLC from two academic neuro-oncological...
Recent artificial intelligence algorithms aided intraoperative decision-making via stimulated Raman histology (SRH) during craniotomy. This study assesses deep learning for rapid diagnosis from SRH images in small stereotactic-guided brain biopsies. It defines a minimum tissue sample size threshold to ensure diagnostic accuracy.
<title>Abstract</title> Neuroimaging is a ubiquitous tool for evaluating patients with neurological diseases. The global demand magnetic resonance imaging (MRI) studies has risen steadily, placing significant strain on health systems, prolonging turnaround times, and intensifying physician burnout. These challenges disproportionately impact in low-resource rural settings. Here, we utilized large academic system as data engine to develop Prima, the first vision-language model (VLM) serving an...
2010 Background: Glioblastoma is a universally fatal diagnosis with extent of resection being one the most significant predictors overall and progression-free survival. Most patients eventually experience recurrence, sixty percent recurring along cavity. Recent work leveraging Stimulated Raman histology (SRH) artificial intelligence (AI) has approximated glioma cellularity within infiltrative margins. It remains unknown if these estimates burden at margins influence glioblastoma recurrence....
Abstract Background Treatment decision for recurrent symptomatic brain metastases (BM) is challenging with scarce data regarding surgical resection. We therefore evaluated the efficacy of surgery pretreated, BM in a comprehensive multidisciplinary treatment setting. Methods In retrospective single center study, patients were analyzed, who underwent resection between 2007 and 2019. Intracranial event-free survival (EFS) overall (OS) by Kaplan-Maier Cox regression analysis. Results included...
Accurate intraoperative diagnosis is crucial for differentiating between primary CNS lymphoma (PCNSL) and other entities, guiding surgical decision-making, but represents significant challenges due to overlapping histomorphological features, time constraints, differing treatment strategies. We combined stimulated Raman histology (SRH) with deep learning address this challenge. imaged unprocessed, label-free tissue samples intraoperatively using a portable scattering microscope, generating...
Abstract Background Accurate intraoperative diagnosis is crucial for differentiating between primary CNS lymphoma (PCNSL) and other entities, guiding surgical decision-making, but represents significant challenges due to overlapping histomorphological features, time constraints, differing treatment strategies. We combined stimulated Raman histology (SRH) with deep learning address this challenge. Methods imaged unprocessed, label-free tissue samples intraoperatively using a portable...
Current guidelines primarily suggest resection of brain metastases (BMs) in patients with limited lesions. With a growing number highly effective local and systemic treatment options, this view may be challenged. The purpose study was to evaluate the role metastasectomy, disregarding BM count, comprehensive setting.In monocentric retrospective analysis, authors included who underwent for at least 1 collected demographic, clinical, tumor-associated parameters. Prognostic factors control...
We set out to determine the rate, time-trend, and defining factors associated with publication of abstracts presented at two annual scientific meetings Canadian Association Radiation Oncology (caro).All accepted for oral presentation in 2007 2010 were obtained from caro program archives searched using PubMed database. Variables dataset included year a journal, time (in months), publishing impact factor abstract research type (clinical, technical, or basic science) disease site, country...
Background:TTC7A-deficiency is a rare hereditary condition characterized by combined immunodeficiency with multiple intestinal atresias presenting in heterogenous degrees of severity [1] and drawn back to consanguinity [2].The genetic disorder leads disrupted inverse construction the apicobasal polarity enterocytes as shown organoids, derived from TTC7A-patients [3].The defect also associated very early onset inflammatory bowel disease [4].Immunodeficiency can be explained inappropriate...
<div>AbstractPurpose:<p>Recent artificial intelligence algorithms aided intraoperative decision-making via stimulated Raman histology (SRH) during craniotomy. This study assesses deep learning for rapid diagnosis from SRH images in small stereotactic-guided brain biopsies. It defines a minimum tissue sample size threshold to ensure diagnostic accuracy.</p>Experimental Design:<p>A prospective single-center examined 121 84 patients with unclear intracranial lesions...
Contrast-enhanced MRI is the method of choice for brain tumor diagnostics, despite its low specificity tissue. This study compared contribution MR spectroscopic imaging (MRSI) and amino acid PET to improve detection <b>Methods:</b> In 30 untreated patients with suspected glioma, <i>O</i>-(2-[<sup>18</sup>F]fluoroethyl)-l-tyrosine (<sup>18</sup>F-FET) PET; 3-T MRSI a short echo time; fluid-attenuated inversion recovery, T2-weighted, contrast-enhanced T1-weighted were performed stereotactic...
The COVID-19 pandemic has led to changes in global health care. Medical societies had update guidelines and enhance new services such as video consultations. Cancer treatment be modified. aim of this study is ensure optimal care for cancer patients with the help high-quality training even times crisis. We therefore conducted a nationwide survey physicians oncological disciplines during assess impact on their education.
OBJECTIVE The treatment of symptomatic, progressive or recurrent acquired intracerebral cysts is challenging, especially when they are localized in eloquent structures. In addition to resection, endoscopic fenestration, stereotactic puncture, the implantation a cystoventricular shunt by guidance (SCVS) has been reported as minimally invasive procedure; however, only scarce data available regarding its feasibility and efficacy. Here, authors evaluated efficacy frame-based SCVS patients with...
Ein individualisiertes chirurgisches Vorgehen ist in der Hirntumorchirurgie zum Erreichen einer maximal sicheren Resektion essenziell. Die Radikalität maßgeblich abhängig von histologischen Diagnose. stimulierte Raman-Histologie (SRH), eine laserbasierte optische Bildgebung, bietet die Möglichkeit Erhebung intraoperativen Diagnose wenigen Minuten. Überblick über Anwendung SRH Neurochirurgie und Übertragung Technik auf weitere chirurgische Disziplinen. Beschreibung Zusammenfassung aktuellen...