Radiogenomics in interventional oncology Review
| Authors: | Moussa, A. M.; Ziv, E. |
| Review Title: | Radiogenomics in interventional oncology |
| Abstract: | Purpose of Review: Radiogenomics is a growing field that has garnered immense interest over the past decade, owing to its numerous applications in the field of oncology and its potential value in improving patient outcomes. Current applications have only begun to delve into the potential of radiogenomics, and particularly in interventional oncology, there is room for development and increased value of these applications. Recent Findings: The field of interventional oncology (IO) has seen valuable radiogenomic applications, from prediction of response to locoregional therapies in hepatocellular carcinoma to identification of genetic mutations in non-small cell lung cancer. Future directions that can increase the value of radiogenomics include applications that address tumor heterogeneity, predict immune responsiveness of tumors, and differentiate between oligoprogression and early widespread progression, among others. Summary: Radiogenomics, whether in terms of methodologies or applications, is still in the early stages of development and far from maturation. Future applications, particularly in the field of interventional oncology, will allow realization of its full potential. © 2021, Springer Science+Business Media, LLC, part of Springer Nature. |
| Keywords: | cancer survival; treatment response; gene mutation; disease course; review; hepatocellular carcinoma; iodinated poppyseed oil; chemoembolization; liver cell carcinoma; methodology; colorectal cancer; medical decision making; computer assisted tomography; image analysis; differential diagnosis; lung cancer; validation study; phosphatidylinositol 3 kinase; protein p53; cancer research; prediction; renal cell carcinoma; liver metastasis; lung metastasis; correlation analysis; partial nephrectomy; immune response; artificial intelligence; liver resection; retinoblastoma protein; non-small cell lung cancer; image reconstruction; cone beam computed tomography; programmed death 1 ligand 1; programmed death 1 receptor; non small cell lung cancer; tumor microenvironment; tumor ablation; interventional oncology; radioembolization; machine learning; lymph vessel metastasis; human; radiogenomics; radiomics; malignant neoplasm |
| Journal Title: | Current Oncology Reports |
| Volume: | 23 |
| Issue: | 1 |
| ISSN: | 1523-3790 |
| Publisher: | Springer |
| Date Published: | 2021-01-01 |
| Start Page: | 9 |
| Language: | English |
| DOI: | 10.1007/s11912-020-00994-9 |
| PUBMED: | 33387095 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Review -- Export Date: 1 February 2021 -- Source: Scopus |
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