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	0000-0002-2189-1389
	1388233614

Nicolas Luca Spath

A radiogenomic approach in lung adenocarcinoma to unravel molecular mechanisms underlying CT imaging phenotypes

Universität Rostock, 2024

https://doi.org/10.18453/rosdok_id00005084

Abstract: 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.

Dissertation   Freier Zugang