癌症的成像基因组学:一个文献识别分析和审查
Xinyi Gou1, Aobo Feng2, Caizhen Feng1
1Department of Radiology, Peking University People's Hospital, Beijing, China.
概括
图像基因组学将医学成像和基因组数据联系起来,以了解癌症. 这篇综述强调了人工智能的进步和改善癌症诊断和治疗的未来趋势.
科学领域:
- 医学成像和基因组数据集成.
- 癌症研究和个性化医学.
背景情况:
- 图像基因组学将医学成像与基因组特征联系起来.
- 应用包括探索癌症异质性和预测治疗反应.
- 本综述评估了当前的成像基因组学应用和瘤学的进展.
研究的目的:
- 审查和评估癌症研究中的成像基因组学的当前应用和进展.
- 分析趋势并确定该领域的未来方向.
主要方法:
- 在PubMed,Web of Science和Embase数据库中进行全面的文献搜索 (截至2024年7月).
- 提取和分析物品细节,包括成像系统和功能.
- 使用Bibliometrix R包和VOSviewer进行图书法测量分析.
主要成果:
- 包括370篇文章,年增长率为24.88%.
- 中国和美国在出版物方面是领先的国家.
- 关键的研究领域包括中枢神经系统和泌尿生殖系统的癌症,其中放射性特征是普遍存在的.
结论:
- 出版物数据库为成像基因组学提供了关键数据.
- 人工智能显著提升了特征提取和模型构建,提高了可解释性.
- 克服样本大小和标准化方面的挑战对于未来的临床应用至关重要.
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