Radiogenomics: bridging the gap between imaging and genomics for precision oncology.
artificial intelligence
oncology
precision medicine
radiogenomics
radiomics
Journal
MedComm
ISSN: 2688-2663
Titre abrégé: MedComm (2020)
Pays: China
ID NLM: 101769925
Informations de publication
Date de publication:
Sep 2024
Sep 2024
Historique:
received:
23
03
2024
revised:
06
08
2024
accepted:
18
08
2024
medline:
10
9
2024
pubmed:
10
9
2024
entrez:
10
9
2024
Statut:
epublish
Résumé
Genomics allows the tracing of origin and evolution of cancer at molecular scale and underpin modern cancer diagnosis and treatment systems. Yet, molecular biomarker-guided clinical decision-making encounters major challenges in the realm of individualized medicine, consisting of the invasiveness of procedures and the sampling errors due to high tumor heterogeneity. By contrast, medical imaging enables noninvasive and global characterization of tumors at a low cost. In recent years, radiomics has overcomes the limitations of human visual evaluation by high-throughput quantitative analysis, enabling the comprehensive utilization of the vast amount of information underlying radiological images. The cross-scale integration of radiomics and genomics (hereafter radiogenomics) has the enormous potential to enhance cancer decoding and act as a catalyst for digital precision medicine. Herein, we provide a comprehensive overview of the current framework and potential clinical applications of radiogenomics in patient care. We also highlight recent research advances to illustrate how radiogenomics can address common clinical problems in solid tumors such as breast cancer, lung cancer, and glioma. Finally, we analyze existing literature to outline challenges and propose solutions, while also identifying future research pathways. We believe that the perspectives shared in this survey will provide a valuable guide for researchers in the realm of radiogenomics aiming to advance precision oncology.
Identifiants
pubmed: 39252824
doi: 10.1002/mco2.722
pii: MCO2722
pmc: PMC11381657
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
e722Informations de copyright
© 2024 The Author(s). MedComm published by Sichuan International Medical Exchange & Promotion Association (SCIMEA) and John Wiley & Sons Australia, Ltd.
Déclaration de conflit d'intérêts
The authors declare that they have no conflict of interest.