Browse
Submit Data
Databases
API
Help

Dataset Information

7 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Radiogenomics Based on PET Imaging.

ABSTRACT: Radiogenomics or imaging genomics is a novel omics strategy of associating imaging data with genetic information, which has the potential to advance personalized medicine. Imaging features extracted from PET or PET/CT enable assessment of in vivo functional and physiological activity and provide comprehensive tumor information non-invasively. However, PET features are considered secondary to features on conventional imaging, and there has not yet been a review of the radiogenomic approach using PET features. This review article summarizes the current state of PET-based radiogenomic research for cancer, which discusses some of its limitations and directions for future study.

SUBMITTER: Park YJ

PROVIDER: S-EPMC7295928 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Radiogenomics correlation between MR imaging features and mRNA-based subtypes in lower-grade glioma.

Project description: Not available

| S-EPMC7322922 | biostudies-literature

PET-Based Imaging of Ischemic Heart Disease.

Project description: Not available

| S-EPMC6426655 | biostudies-literature

Radiogenomics-based cancer prognosis in colorectal cancer.

Project description: Not available

| S-EPMC6611779 | biostudies-literature

Imaging-Based Prediction of Molecular Therapy Targets in NSCLC by Radiogenomics and AI Approaches: A Systematic Review.

Project description: Not available

| S-EPMC7345054 | biostudies-literature

Topographical Heterogeneity of Alzheimer's Disease Based on MR Imaging, Tau PET, and Amyloid PET.

Project description: Not available

| S-EPMC6710378 | biostudies-literature

Identification of relationships between Molecular and Imaging Phenotypes in Non-small cell lung cancer using radiogenomics Map

Project description:Purpose: To create a radiogenomic map linking computed tomographic (CT) image features and gene expression profiles generated by RNA sequencing for patients with non-small cell lung cancer (NSCLC). Methods: A cohort of 113 patients with NSCLC diagnosed between April 2008 and September 2014 who had preoperative CT data and tumor tissue available was studied. For each tumor, a thoracic radiologist recorded 87 semantic image features, selected to reflect radiologic characteristics of nodule shape, margin, texture, tumor environment, and overall lung characteristics. Next, total RNA was extracted from the tissue and analyzed with RNA sequencing technology. Ten highly coexpressed gene clusters, termed metagenes, were identified, validated in publicly available gene-expression cohorts, and correlated with prognosis. Next, a radiogenomics map was built that linked semantic image features to metagenes by using the t statistic and the Spearman correlation metric with multiple testing correction. Results: RNA sequencing analysis resulted in 10 metagenes that capture a variety of molecular pathways, including the epidermal growth factor (EGF) pathway. A radiogenomic map was created with 32 statistically significant correlations between semantic image features and metagenes. Conclusions: Radiogenomic analysis of NSCLC showed multiple associations between semantic image features and metagenes that represented canonical molecular pathways

2018-08-03 | GSE103584 | GEO

Radiogenomics of neuroblastomas: Relationships between imaging phenotypes, tumor genomic profile and survival.

Project description: Not available

| S-EPMC5612658 | biostudies-literature

Metabolic radiogenomics in lung cancer: associations between FDG PET image features and oncogenic signaling pathway alterations.

Project description: Not available

| S-EPMC7411040 | biostudies-literature

(44)Sc: an attractive isotope for peptide-based PET imaging.

Project description: Not available

| S-EPMC4128785 | biostudies-literature

Deep learning-based metal artefact reduction in PET/CT imaging.

Project description: Not available