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从放射学到放射基因组学:解读细胞癌生物学为精准医学 - - 一个叙述性综述

Zihan He¹, Liping Huang²

¹Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.

Insights into imaging

|December 17, 2025

概括

放射学和放射基因组学为诊断和治疗细胞癌提供了非侵入性方法. 这些技术分析医疗图像和分子数据,以克服瘤异质性并指导个性化癌症护理.

科学领域:

在瘤学瘤学.
医疗成像医学成像
基因组学就是基因组学.

背景情况:

由于传统成像中的主观性,细胞癌 (RCC) 的诊断和治疗面临着挑战.
放射学从医学图像中提取定量数据,用于瘤特征.
放射基因组学将成像特征与分子数据集成为非侵入性生物评估.

研究的目的:

审查放射学和放射基因组学在细胞癌 (RCC) 诊断,预测和治疗中的应用.
突出这些技术如何解决RCC管理中的临床挑战.
强调针对瘤异质性和精确瘤学的非侵入性解决方案.

主要方法:

对RCC中放射学和放射基因组学现有研究的审查.
放射学分析用于分类RCC亚型和预测预后.
图像特征与放射遗传学中的基因组和分子数据的整合.

主要成果:

放射学在RCC亚型分类,预后预测和疾病进展预测方面显示出潜力.
放射基因组学将成像特征与基因突变和瘤微环境联系起来,以进行非侵入性生物评估.
这些方法为RCC诊断和治疗提供了新的途径.

结论:

放射学和放射基因组学为精确诊断和细胞癌的特征提供了强大的,非侵入性的工具.
放射遗传学桥梁成像和分子生物学,使精确的预测和个性化治疗策略.
需要进一步整合多omics数据,以便在RCC研究中充分利用放射基因组学.

关键词:

人工智能的人工智能是人工智能.精准医学是一门精准的医学.放射基因组学是指放射基因组学.无线电学 (Radiomics) 是一种放射学.细胞癌是细胞癌.

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