| title: |
| A radiogenomic approach in lung adenocarcinoma to unravel molecular mechanisms underlying
CT imaging phenotypes |
|
| contributing persons: |
|
| contributing corporate bodies: |
| Universität Rostock[Grad-verleihende Institution] |
 |
38329-6 |
| Universitätsmedizin Rostock[Grad-verleihende Institution] |
|
1029510660 |
|
| |
| 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.
[English] |
|
| document type: |
|
| institution: |
|
| language: |
|
| subject class (DDC): |
| 004 Data processing Computer sciences |
| 500 Natural sciences |
| 610 Medical sciences Medicine |
|
| extent: |
|
1 Online-Ressource (110 Seiten)
|
|
| |
publication /
production: |
Rostock
|
Rostock: Universität Rostock
|
|
2024
|
|
| statement of responsibility: |
| vorgelegt von Nicolas Luca Spath |
|
| |
| identifiers: |
|
| |
| access condition: |
|
| license/rights statement: |
|
|
| RosDok id: |
rosdok_disshab_0000003390 |
| created / modified: |
28.01.2026 / 28.01.2026
|
| metadata license: |
The metadata of this document was dedicated to the public domain
(CC0 1.0 Universal Public Domain Dedication). |
access
viewer
fulltext