In computational pathology, automatic nuclei instance segmentation plays an essential role in whole slide image analysis. While many computerized approaches have been proposed for this task, supervised deep learning (DL) methods have shown superior segmentation performances compared to classical machine learning and image processing techniques. However, these models need fully annotated datasets for training which is challenging to acquire, especially in the medical domain.
View Article and Find Full Text PDFIn this prospective observational study, we investigated the impact of geriatric syndromes and frailty on mortality and evaluated the prognostic value of different frailty, nutritional, and geriatric assessment tools in high-risk patients with severe mitral valve regurgitation (MR) who were evaluated for mitral valve therapies including surgical, interventional, and conservative treatment options. We prospectively assessed multiple parameters including the CONUT Score, the Katz Index of independence in activities of daily living (ADL), the Fried Frailty Phenotype (FFP), and the Essential Frailty Toolset (EFT) Score in 127 patients with severe symptomatic MR requiring surgical/interventional treatment versus conservative monitoring. We compared their predictive value on mortality including multivariate regression analysis to identify the most suitable tool to predict outcomes in these patient groups.
View Article and Find Full Text PDFBackground: Frailty is a multidimensional syndrome that affects mortality after aortic valve replacement (AVR). Malnutrition is often associated with the development of frailty. However, data regarding the association of frailty with nutritional status and underlying endocrinological dysregulation in patients with severe aortic valve stenosis are limited.
View Article and Find Full Text PDFBackground: Some sarcomas respond to immune checkpoint inhibition, but predictive biomarkers are unknown. We analyzed tumor DNA methylation profiles in relation to immunological parameters and response to anti-programmed cell death 1 (anti-PD-1) immune checkpoint inhibitor (ICI) therapy in patients with sarcoma.
Patients And Methods: We retrospectively identified adult patients who had received anti-PD-1 ICI therapy for recurrent sarcoma in two independent centers.
Purpose: Immune modulatory therapies including immune checkpoint inhibitors have so far failed to result in clinically meaningful efficacy in glioma. We aimed to investigate lymphocyte activation gene 3 (LAG-3), an inhibitory receptor on immune cells and target of second-generation immune checkpoint inhibitors, in glioma.
Methods: 97 patients with diffuse glioma (68 with glioblastoma, 29 with WHO grade II-III glioma) were identified from the Neuro-Biobank of the Medical University of Vienna.
Background: Immune-modulatory treatments have so far shown limited clinical activity in primary brain tumours. We aimed to investigate soluble programmed death receptor ligand 1 (sPD-L1) as systemic inflammation parameter in patients with brain tumour.
Methods: EDTA plasma was collected from 81 glioma (55 glioblastoma (GBM), 26 lower-grade glioma (LGG)), 17 meningioma and 44 brain metastasis (BM) patients and 24 controls.
Background: To determine the antibacterial effect of photodynamic Therapy on Enterococcus faecalis (E. faecalis) biofilms in experimentally infected human root canals in primary infections and endodontic retreatments.
Methods: One hundred and sixty single-rooted extracted teeth with one root canal were prepared using ProTaper instruments.