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作者

张志民 汪建军

作者单位

山东第一医科大学(山东省医学科学院)研究生部，山东 济南 山东第一医科大学第一附属医院神经外科，山东 济南

刊名

Advances in Clinical Medicine

年份

2026

卷号

Vol.16 No.6

页码

1940-1950

ISSN

2161-8712

关键词

影像组学 中枢神经系统疾病 机器学习 精准医疗 Imaging Omics Central Nervous System Diseases Machine Learning Precision Medicine

摘要

Central nervous system diseases include various types such as brain tumors, cerebrovascular diseases, neurodegenerative diseases, and epilepsy, and are one of the important diseases that cause death and disability worldwide. As an emerging medical image analysis method, radiomics provides an objective and quantitative tool for clinical prognosis prediction beyond traditional visual assessment by high-throughput extraction and quantification of features in medical images. Imaging omics has made s...更多

Central nervous system diseases include various types such as brain tumors, cerebrovascular diseases, neurodegenerative diseases, and epilepsy, and are one of the important diseases that cause death and disability worldwide. As an emerging medical image analysis method, radiomics provides an objective and quantitative tool for clinical prognosis prediction beyond traditional visual assessment by high-throughput extraction and quantification of features in medical images. Imaging omics has made significant progress in the field of central nervous system diseases, demonstrating good application potential in the grading and molecular feature prediction of cranial tumors, risk assessment of cerebrovascular diseases, early identification of neurodegenerative diseases, and auxiliary diagnosis of epilepsy and psychiatric disorders. However, radiomics clinical translation still faces challenges such as insufficient data standardization, limited sample size, poor model interpretability, and a lack of multicenter prospective validation. In the future, by integrating artificial intelligence and deep learning, incorporating multimodal and multi-omics approaches, and leveraging privacy-preserving technologies like federated learning, along with the refinement of standardized systems and the advancement of multicenter research, radiomics will overcome application bottlenecks and drive the precise diagnosis and treatment of central nervous system diseases, as well as the development of personalized medicine. This article summarizes the basic principles of radiomics and its research progress in central nervous system diseases, explores the current challenges and prospects for future development directions, in order to further deepen the application of radiomics in the central nervous system.收起

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