• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于超声的放射基因组学:现状、应用及未来方向。

Ultrasound-based radiogenomics: status, applications, and future direction.

作者信息

Wang Si-Rui, Shen Yu-Ting, Huang Bin, Xu Hui-Xiong

机构信息

Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China.

Department of Ultrasound, Zhejiang Hospital, Hangzhou, China.

出版信息

Ultrasonography. 2025 Mar;44(2):95-111. doi: 10.14366/usg.24152. Epub 2024 Dec 12.

DOI:10.14366/usg.24152
PMID:39935290
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11938802/
Abstract

Radiogenomics, an extension of radiomics, explores the relationship between imaging features and underlying gene expression patterns. This field is instrumental in providing reliable imaging surrogates, thus potentially representing an alternative to genetic testing. The rapidly growing area of radiogenomics that utilizes ultrasound (US) imaging seeks to elucidate the connections between US image characteristics and genomic data. In this review, the authors outline the radiogenomics workflow and summarize the applications of US-based radiogenomics. These include the prediction of gene variations, molecular subtypes, and other biological characteristics, as well as the exploration of the relationships between US phenotypes and cancer gene profiles. Although the field faces various challenges, US-based radiogenomics offers promising prospects and avenues for future research.

摘要

放射基因组学作为放射组学的延伸,探索成像特征与潜在基因表达模式之间的关系。该领域有助于提供可靠的成像替代指标,从而有可能成为基因检测的一种替代方法。利用超声(US)成像的放射基因组学这一快速发展的领域旨在阐明US图像特征与基因组数据之间的联系。在这篇综述中,作者概述了放射基因组学的工作流程,并总结了基于US的放射基因组学的应用。这些应用包括基因变异、分子亚型和其他生物学特征的预测,以及US表型与癌症基因谱之间关系的探索。尽管该领域面临各种挑战,但基于US的放射基因组学为未来研究提供了有前景的方向和途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d2/11938802/56678f0dd33f/usg-24152f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d2/11938802/b5ac4f018ab4/usg-24152f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d2/11938802/c49f3905d21f/usg-24152f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d2/11938802/b0a8e69d9ed1/usg-24152f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d2/11938802/95ce324cd34f/usg-24152f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d2/11938802/b3a3882d7009/usg-24152f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d2/11938802/56678f0dd33f/usg-24152f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d2/11938802/b5ac4f018ab4/usg-24152f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d2/11938802/c49f3905d21f/usg-24152f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d2/11938802/b0a8e69d9ed1/usg-24152f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d2/11938802/95ce324cd34f/usg-24152f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d2/11938802/b3a3882d7009/usg-24152f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d2/11938802/56678f0dd33f/usg-24152f6.jpg

相似文献

1
Ultrasound-based radiogenomics: status, applications, and future direction.基于超声的放射基因组学:现状、应用及未来方向。
Ultrasonography. 2025 Mar;44(2):95-111. doi: 10.14366/usg.24152. Epub 2024 Dec 12.
2
Combining molecular and imaging metrics in cancer: radiogenomics.癌症中分子与影像学指标的结合:放射基因组学。
Insights Imaging. 2020 Jan 3;11(1):1. doi: 10.1186/s13244-019-0795-6.
3
Radiogenomics in prostate cancer evaluation.前列腺癌评估中的放射基因组学
Curr Opin Urol. 2021 Jul 1;31(4):424-429. doi: 10.1097/MOU.0000000000000902.
4
Novel imaging techniques of rectal cancer: what do radiomics and radiogenomics have to offer? A literature review.直肠癌的新型影像学技术:放射组学和放射基因组学有何贡献?文献综述。
Abdom Radiol (NY). 2019 Nov;44(11):3764-3774. doi: 10.1007/s00261-019-02042-y.
5
Radiomics and Radiogenomics in Pelvic Oncology: Current Applications and Future Directions.盆腔肿瘤放射组学和放射基因组学:当前应用及未来方向。
Curr Oncol. 2023 May 11;30(5):4936-4945. doi: 10.3390/curroncol30050372.
6
Radiogenomics: bridging imaging and genomics.放射组学:连接影像学与基因组学
Abdom Radiol (NY). 2019 Jun;44(6):1960-1984. doi: 10.1007/s00261-019-02028-w.
7
Bridging the Gap Between Imaging and Molecular Characterization: Current Understanding of Radiomics and Radiogenomics in Hepatocellular Carcinoma.弥合成像与分子特征之间的差距:肝细胞癌中放射组学和放射基因组学的当前认识
J Hepatocell Carcinoma. 2024 Nov 27;11:2359-2372. doi: 10.2147/JHC.S423549. eCollection 2024.
8
Radiomics and radiogenomics for precision radiotherapy.用于精确放疗的放射组学和放射基因组学。
J Radiat Res. 2018 Mar 1;59(suppl_1):i25-i31. doi: 10.1093/jrr/rrx102.
9
Background, current role, and potential applications of radiogenomics.放射组学的背景、当前作用和潜在应用。
J Magn Reson Imaging. 2018 Mar;47(3):604-620. doi: 10.1002/jmri.25870. Epub 2017 Nov 2.
10
From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non-Invasive Precision Medicine in Cancer Patients.从图像到基因:基于人工智能的放射基因组学助力癌症患者实现无创精准医疗
Adv Sci (Weinh). 2025 Jan;12(2):e2408069. doi: 10.1002/advs.202408069. Epub 2024 Nov 13.

本文引用的文献

1
Radiomics and artificial intelligence applications in pediatric brain tumors.放射组学和人工智能在小儿脑肿瘤中的应用。
World J Pediatr. 2024 Aug;20(8):747-763. doi: 10.1007/s12519-024-00823-0. Epub 2024 Jun 27.
2
Radiogenomic analysis of ultrasound phenotypic features coupled to proteomes predicts metastatic risk in primary prostate cancer.基于超声表型特征与蛋白质组学的放射基因组分析预测原发性前列腺癌的转移风险。
BMC Cancer. 2024 Mar 4;24(1):290. doi: 10.1186/s12885-024-12028-9.
3
Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer.
基于超声的放射组学模型的开发和验证,用于预测乳腺癌患者的种系 BRCA 突变。
Cancer Imaging. 2024 Feb 29;24(1):31. doi: 10.1186/s40644-024-00676-w.
4
Thyroid Cancer: A Review.甲状腺癌:综述。
JAMA. 2024 Feb 6;331(5):425-435. doi: 10.1001/jama.2023.26348.
5
Imaging Genomics and Multiomics: A Guide for Beginners Starting Radiomics-Based Research.影像组学与多组学:基于放射组学研究的初学者指南
Acad Radiol. 2024 Jun;31(6):2281-2291. doi: 10.1016/j.acra.2024.01.024. Epub 2024 Jan 28.
6
A deep learning fusion network trained with clinical and high-frequency ultrasound images in the multi-classification of skin diseases in comparison with dermatologists: a prospective and multicenter study.与皮肤科医生相比,使用临床和高频超声图像训练的深度学习融合网络在皮肤疾病多分类中的应用:一项前瞻性多中心研究
EClinicalMedicine. 2024 Jan 5;67:102391. doi: 10.1016/j.eclinm.2023.102391. eCollection 2024 Jan.
7
A cost-effectiveness analysis of an integrated clinical-radiogenomic screening program for the identification of BRCA 1/2 carriers (e-PROBE study).BRCA1/2 携带者临床-放射基因组综合筛查项目的成本效益分析(e-PROBE 研究)。
Sci Rep. 2024 Jan 9;14(1):928. doi: 10.1038/s41598-023-51031-1.
8
A nomogram model combining ultrasound-based radiomics features and clinicopathological factors to identify germline BRCA1/2 mutation in invasive breast cancer patients.一种结合基于超声的影像组学特征和临床病理因素的列线图模型,用于识别浸润性乳腺癌患者的种系BRCA1/2突变。
Heliyon. 2023 Dec 6;10(1):e23383. doi: 10.1016/j.heliyon.2023.e23383. eCollection 2024 Jan 15.
9
Predicting T Cell-Inflamed Gene Expression Profile in Hepatocellular Carcinoma Based on Dynamic Contrast-Enhanced Ultrasound Radiomics.基于动态对比增强超声影像组学预测肝细胞癌中的T细胞炎症基因表达谱
J Hepatocell Carcinoma. 2023 Dec 18;10:2291-2303. doi: 10.2147/JHC.S437415. eCollection 2023.
10
A conditional inference tree model for predicting cancer risk of non-mass lesions detected on breast ultrasound.一种用于预测乳腺超声检测到的非肿块性病变癌症风险的条件推理树模型。
Eur Radiol. 2024 Jul;34(7):4776-4788. doi: 10.1007/s00330-023-10504-7. Epub 2023 Dec 22.