A radiogenomic approach in lung adenocarcinoma to unravel molecular mechanisms underlying CT imaging phenotypes Computer tomography Spath, Nicolas Luca , 1996- (VerfasserIn) Füllen, Georg , 1967- (AkademischeR BetreuerIn) Weber, Marc-André , 1973- (AkademischeR BetreuerIn) Hövener, Jan-Bernd (AkademischeR BetreuerIn) Universität Rostock (Grad-verleihende Institution) Universitätsmedizin Rostock (Grad-verleihende Institution) Text theses Text Hochschulschrift 2024 2024 eng electronic resourceremoteComputermedienOnline-Ressourceapplication/pdf1 Online-Ressource (110 Seiten) Illustrationen, Diagramme 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> Open Access Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International vorgelegt von Nicolas Luca Spath 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) Dissertation Universität Rostock 2024 004 500 610 616.994 610 44.03 44.64 31.73 https://purl.uni-rostock.de/rosdok/id00005084 https://doi.org/10.18453/rosdok_id00005084 https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00005084-9 https://d-nb.info/1388827182/34 A radiogenomic approach in lung adenocarcinoma to unravel molecular mechanisms underlying CT imaging phenotypes--(DE-627)1950523489 urn:nbn:de:gbv:28-rosdok_id00005084-9 doi: 10.18453/rosdok_id00005084 oclc: 1570337570 ppn: (DE-627)1950519996