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基于正电子发射断层显像(PET)成像的放射基因组学

Radiogenomics Based on PET Imaging.

作者信息

Park Yong-Jin, Shin Mu Heon, Moon Seung Hwan

机构信息

Department of Nuclear Medicine and Molecular Imaging, Samsung Medical Center, Seoul, Republic of Korea.

出版信息

Nucl Med Mol Imaging. 2020 Jun;54(3):128-138. doi: 10.1007/s13139-020-00642-x. Epub 2020 May 9.

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.

摘要

放射基因组学或影像基因组学是一种将影像数据与遗传信息相关联的新型组学策略,具有推动个性化医疗发展的潜力。从PET或PET/CT中提取的影像特征能够评估体内的功能和生理活动,并以非侵入性方式提供全面的肿瘤信息。然而,PET特征被认为相对于传统影像上的特征是次要的,并且尚未有对使用PET特征的放射基因组学方法的综述。这篇综述文章总结了基于PET的癌症放射基因组学研究的现状,讨论了其一些局限性和未来研究方向。

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本文引用的文献

1
Intrinsic dimension estimation for locally undersampled data.
Sci Rep. 2019 Nov 20;9(1):17133. doi: 10.1038/s41598-019-53549-9.
2
Gene Selection for the Discrimination of Colorectal Cancer.
Curr Mol Med. 2020;20(6):415-428. doi: 10.2174/1566524019666191119105209.
3
Assessing EGFR gene mutation status in non-small cell lung cancer with imaging features from PET/CT.
Nucl Med Commun. 2019 Aug;40(8):842-849. doi: 10.1097/MNM.0000000000001043.
4
Radiogenomics: bridging imaging and genomics.
Abdom Radiol (NY). 2019 Jun;44(6):1960-1984. doi: 10.1007/s00261-019-02028-w.
5
A Review of the Challenges of Using Biomedical Big Data for Economic Evaluations of Precision Medicine.
Appl Health Econ Health Policy. 2019 Aug;17(4):443-452. doi: 10.1007/s40258-019-00474-7.
7
RaCaT: An open source and easy to use radiomics calculator tool.
PLoS One. 2019 Feb 20;14(2):e0212223. doi: 10.1371/journal.pone.0212223. eCollection 2019.

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