影像组学在颅内动脉瘤中的研究进展与挑战
Research Progress and Challenges of Radiomics in Intracranial Aneurysms
DOI: 10.12677/acm.2025.15113074, PDF,   
作者: 徐发宝, 卢瑞斌：赣南医科大学第一临床医学院，江西 赣州；杨少春*：赣南医科大学第一附属医院神经外科，江西 赣州
关键词: 颅内动脉瘤；影像组学；深度学习；综述；Intracranial Aneurysm； Radiomics； Deep Learning； Review
摘要: 颅内动脉瘤(Intracranial aneurysm, IA)是一种常见的脑血管疾病，其破裂导致的蛛网膜下腔出血具有较高的致死率和致残率，早期诊断并干预是改善预后的关键。影像组学(Radiomics)作为一种新兴的定量图像分析方法，通过从医学影像中提取高通量特征并可以通过结合机器学习算法，其在颅内动脉瘤的检测诊断、破裂风险评估、治疗决策及预后预测等方面展现出了巨大的潜力。本文旨在综述影像组学在颅内动脉瘤诊疗领域的研究方法与取得的成果，并进一步探讨其在该领域的应用前景及潜在价值。
Abstract: Intracranial aneurysm (IA) is a common cerebrovascular disease. Its rupture leads to subarachnoid hemorrhage (SAH), which carries a high mortality and disability rate. Early diagnosis and intervention are crucial for improving prognosis. Radiomics, an emerging quantitative image analysis method, integrates high-throughput feature extraction from medical images with machine learning algorithms. It shows great potential in intracranial aneurysm detection and diagnosis, rupture risk assessment, treatment decision-making, and prognosis prediction. This paper aims to review the research methodologies and achievements of radiomics in the diagnosis and treatment of intracranial aneurysms, and further explore its application prospects and potential value in this field.
文章引用：徐发宝, 卢瑞斌, 杨少春. 影像组学在颅内动脉瘤中的研究进展与挑战[J]. 临床医学进展, 2025, 15(11): 117-125. https://doi.org/10.12677/acm.2025.15113074

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