%0 Book
%T radiogenomic approach in lung adenocarcinoma to unravel molecular mechanisms underlying CT imaging phenotypes
%A Spath, Nicolas Luca
%D 2024
%C Rostock
%C Universität Rostock
%G English
%F 1950519996
%O vorgelegt von Nicolas Luca Spath
%O GutachterInnen: Georg Fuellen (Institute for Biostatistics and Informatics in Medicine and Ageing Research, University Rostock) ; Marc-André Weber (Institute for Diagnostic and Interventional Radiology, University Rostock) ; Jan Hövener (Molecular Imaging North Competence Center, University Kiel)
%O Dissertation Universität Rostock 2024
%X The herein-developed bioinformatics workflow aims to improve the interpretability of results from a multi-omics integration. Extraction of 86 image features from the CT image series describing tumor characteristics is followed by differential expression/methylation analysis. Regulation of signaling and cellular response to organic substance were reflected in CT image phenotypes. Hypomethylation showed a distinct shift in tumor texture. The described approach is generalizable to other cancer entities or non-malignant diseases to broaden the interpretability of future radiogenomics studies.<eng>
%L 004
%9 theses
%9 Text
%9 Hochschulschrift
%R 10.18453/rosdok_id00005084
%U https://purl.uni-rostock.de/rosdok/id00005084
%U https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00005084-9
%U https://d-nb.info/1388827182/34
%U https://doi.org/10.18453/rosdok_id00005084