| 刘亚欧,段云云.MRI结合人工智能技术预测弥漫性胶质瘤分子病理研究进展[J].中国医学影像技术,2024,40(6):801~804 |
| MRI结合人工智能技术预测弥漫性胶质瘤分子病理研究进展 |
| Research progresses of MRI combined with artificial intelligence technology for predicting molecular pathology of diffuse glioma |
| 投稿时间：2024-05-25 修订日期：2024-05-30 |
| DOI：10.13929/j.issn.1003-3289.2024.06.001 |
| 中文关键词: 胶质瘤 磁共振成像 深度学习 影像组学 |
| 英文关键词:glioma magnetic resonance imaging deep learning radiomics |
| 基金项目: |
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| 中文摘要: |
| 分子病理指标对于诊断和治疗弥漫性胶质瘤(DG)具有关键作用。迅速发展的人工智能(AI)技术为预测DG分子病理和评估预后提供了客观、无创的工具。本文围绕MRI结合AI技术预测DG重要分子病理研究进展进行述评。 |
| 英文摘要: |
| The molecular pathological indicators play a key role in diagnosis and treatment of diffuse glioma (DG). Rapidly developed artificial intelligence (AI) technology had provided an objective and non-invasive tool for predicting molecular pathology and prognosis of DG. The research progresses of MRI combined with AI technology for predicting important molecular pathology of DG were reviewed in this article. |
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