From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients DOI Creative Commons
Yusheng Guo,

Tianxiang Li,

Bingxin Gong

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: 12(2)

Published: Nov. 13, 2024

Abstract With the increasing demand for precision medicine in cancer patients, radiogenomics emerges as a promising frontier. Radiogenomics is originally defined methodology associating gene expression information from high‐throughput technologies with imaging phenotypes. However, advancements medical imaging, omics technologies, and artificial intelligence, both concept application of have significantly broadened. In this review, history enumerated, related five basic workflows their applications across tumors, role AI radiogenomics, opportunities challenges tumor heterogeneity, immune microenvironment. The positron emission tomography multi‐omics studies also discussed. Finally, faced by clinical transformation, along future trends field

Language: Английский

Role of Radiomics-based Multiomics Panel in the Microenvironment and Prognosis of Hepatocellular Carcinoma DOI

Ziqian Wu,

Siyu Ouyang,

Jidong Gao

et al.

Academic Radiology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
Imaging genomics of cancer: a bibliometric analysis and review DOI Creative Commons

Xinyi Gou,

Aobo Feng,

Caizhen Feng

et al.

Cancer Imaging, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 4, 2025

Imaging genomics is a burgeoning field that seeks to connections between medical imaging and genomic features. It has been widely applied explore heterogeneity predict responsiveness disease progression in cancer. This review aims assess current applications advancements of Literature on cancer was retrieved selected from PubMed, Web Science, Embase before July 2024. Detail information articles, such as systems features, were extracted analyzed. Citation Science Scopus. Additionally, bibliometric analysis the included studies conducted using Bibliometrix R package VOSviewer. A total 370 articles study. The annual growth rate 24.88%. China (133) USA (107) most productive countries. top 2 keywords plus "survival" "classification". research mainly focuses central nervous system (121) genitourinary (110, including 44 breast articles). Despite different utilizing modalities, more than half each employed radiomics Publication databases provide data support for research. development artificial intelligence algorithms, especially feature extraction model construction, significantly advanced this field. conducive enhancing related-models' interpretability. Nonetheless, challenges sample size standardization construction must overcome. And trends revealed study will guide future contribute accurate diagnosis treatment clinic.

Language: Английский

Citations

0
From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients DOI Creative Commons
Yusheng Guo,

Tianxiang Li,

Bingxin Gong

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: 12(2)

Published: Nov. 13, 2024

Abstract With the increasing demand for precision medicine in cancer patients, radiogenomics emerges as a promising frontier. Radiogenomics is originally defined methodology associating gene expression information from high‐throughput technologies with imaging phenotypes. However, advancements medical imaging, omics technologies, and artificial intelligence, both concept application of have significantly broadened. In this review, history enumerated, related five basic workflows their applications across tumors, role AI radiogenomics, opportunities challenges tumor heterogeneity, immune microenvironment. The positron emission tomography multi‐omics studies also discussed. Finally, faced by clinical transformation, along future trends field

Language: Английский

Citations

3