Publications by authors named "Johannes Schreck"
Article Synopsis
- The study introduces HEPNET, a deep learning model designed to accurately distinguish between intrahepatic cholangiocarcinoma and colorectal liver metastasis using H&E-stained whole-slide images.
- HEPNET was trained on a large dataset from 456 patients and demonstrated high accuracy, achieving 96.5% on an internal test set and 98.1% on an external validation set, outperforming experienced pathology experts.
- The model aims to improve routine pathology practices by providing a reliable diagnostic tool, potentially streamlining the diagnostic process in pathology laboratories.
Liver cancers, which are mostly hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA), are very aggressive tumors with poor prognosis. Therapeutic options with curative intent are largely limited to surgery and available systemic therapies show limited benefit. Signal transducer and activator of transcription 1 (STAT1) and 3 (STAT3) are key transcription factors activated by pro-inflammatory cytokines such as interferon-γ (IFN-γ) and interleukin-6 (IL-6).
View Article and Find Full Text PDFCholangiocarcinoma (CCA) is a heterogeneous malignancy with a dismal prognosis. Therapeutic options are largely limited to surgery and conventional chemotherapy offers limited benefit. As immunotherapy has proven highly effective in various cancer types, we have undertaken a quantitative immunohistopathological assessment of immune cells expressing the immunoinhibitory T cell immune response cDNA 7 receptor (TIRC7), an emerging immunoinhibitory receptor, in a cohort of 135 CCA patients.
View Article and Find Full Text PDFBackground: The histomorphological changes of lung damage in severe coronavirus disease 2019 (COVID-19) have not yet been adequately characterized. In this article, we describe the sequence of pathological changes in COVID-19 and discuss the implications for approaches to treatment.
Methods: Standardized autopsies were performed on thirteen patients who had died of COVID-19.