| 李倍佳,张会如.基于人工智能的影像组学在肝癌筛查诊疗及预后的研究进展[J].济宁医学院学报,2025,48(5):464-467 |
| 基于人工智能的影像组学在肝癌筛查诊疗及预后的研究进展 |
| Research progress of artificial intelligence-based radiomics in screening, diagnosis, treatment and prognosis of liver cancer |
| 投稿时间：2025-03-26 |
| DOI：10.3969/j.issn.1000-9760.2025.05.016 |
| 中文关键词: 人工智能;影像组学;肝癌;深度学习算法 |
| 英文关键词: Artificial intelligence;Radiomics;Liver cancer;Deep learning algorithm |
| 基金项目:济宁医学院大学生创新训练计划资助项目(cx2023247) |
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| 摘要点击次数: 16 |
| 全文下载次数: 13 |
| 中文摘要: |
| 肝癌的传统影像学诊断通常依赖诊断医师的肉眼观察, 所获信息大多具有主观性和局限性, 使得早期精准诊断面临巨大挑战。影像组学通过高通量提取定量的特征信息, 运用高维数据描绘医学图像, 从而高效且准确识别病变特征。将影像组学高通量提取的大量图像数据与人工智能算法结合后建立模型, 可进一步实现对数据库中最优选择的自动化筛选及其特征信息提取, 并进行预测分析, 从而构建精准化的诊疗体系。目前, 影像组学人工智能模型在肝癌方面的应用涵盖肿瘤病灶的筛查、诊断、病理分型分级、治疗、疗效评估及预测复发等诸多方面。本文综述了基于人工智能的超声、CT、MRI多领域影像组学在肝癌临床应用中的研究进展。 |
| 英文摘要: |
| The traditional imaging diagnosis of liver cancer usually relies on the visual observation of the diagnostician, and the information obtained is subjective and limited, which makes the early accurate diagnosis face great challenges.By extracting quantitative feature information with high throughput and using high-dimensional data to depict medical images, radiomics can identify pathological features efficiently and accurately.By combining large volumes of image data extracted by radiomics with artificial intelligence algorithm, the model can be developed to further enable to automatically screen the best selection in the database and extract the feature information, and perform predictive analysis.And then a precise diagnosis and treatment system can be built.At present, the application of radiomics artificial intelligence model in liver cancer covers the screening, diagnosis, pathological typing and grading treatment, efficacy evaluation and recurrence prediction of tumor lesions.This paper reviews the progress of artificial intelligence-based ultrasound, CT and MRI in the clinical application of liver cancer. |
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