| 朱娜,侯阳.基于CT影像组学鉴别良恶性肺结节应用进展[J].中国介入影像与治疗学,2021,18(2):122-125 |
| 基于CT影像组学鉴别良恶性肺结节应用进展 |
| Advancements of radiomics based on CT in differential diagnosis of benign and malignant pulmonary nodules |
| 投稿时间：2020-08-12 修订日期：2020-12-18 |
| DOI：10.13929/j.issn.1672-8475.2021.02.014 |
| 中文关键词: 肺肿瘤 诊断,鉴别 体层摄影术,X线计算机 影像组学 |
| 英文关键词:lung neoplasms diagnosis, differential tomography, X-ray computed radiomics |
| 基金项目: |
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| 摘要点击次数: 935 |
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| 中文摘要: |
| 影像组学指自影像学图像中提取高通量影像学特征，通过筛选特征建立模型，实现诊断和鉴别诊断疾病、评估疗效及预测预后等的人工智能技术。应用CT影像组学为鉴别良恶性肺结节提供了新契机。本文就影像组学概念、CT成像方法及其在鉴别诊断良恶性肺结节中的应用进展进行综述。 |
| 英文摘要: |
| Radiomics refers to the artificial intelligence technology that extracts high-throughput imaging features from images, through feature screening and modeling to achieve diagnosis and differential diagnosis of diseases,as well as evaluating curative effect and predicting prognosis and so on. The application of radiomics based on CT images provides a new opportunity for differentiation of benign and malignant pulmonary nodules. The definition of radiomics, CT imaging methods and application in differential diagnosis of benign and malignant pulmonary nodules were reviewed in this article. |
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