*Result*: A radiogenomic approach in lung adenocarcinoma to unravel molecular mechanisms underlying CT imaging phenotypes
Title:
A radiogenomic approach in lung adenocarcinoma to unravel molecular mechanisms underlying CT imaging phenotypes
Contributors:
Füllen, Georg (gnd: 140626085) AkademischeR BetreuerIn, Weber, Marc-André (gnd: 142373044) AkademischeR BetreuerIn, Hövener, Jan-Bernd (gnd: 137043740) AkademischeR BetreuerIn, Universität Rostock (gnd: 38329-6) Grad-verleihende Institution, Universitätsmedizin Rostock (gnd: 1029510660) Grad-verleihende Institution
Publisher Information:
Universität Rostock Rostock
Publication Year:
2024
Collection:
Rostock University: RosDok - Rostocker Dokumentenserver
Subject Terms:
Document Type:
*Dissertation/ Thesis*
doctoral or postdoctoral thesis
Language:
unknown
DOI:
10.18453/rosdok_id00005084
Availability:
Rights:
CC BY-SA 4.0 ; open access
Accession Number:
edsbas.5DAB7811
Database:
BASE
*Further Information*
*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.*