MRI影像组学在肺癌脑转移瘤中的应用及研究进展  

Application and research progress of MRI radiomics in brain metastases from lung cancer

作　　者：隋莲玉 孟欢 王佳宁 殷小平 SUI Lianyu;MENG Huan;WANG Jianing;YIN Xiaoping(Clinical Medicine School of Hebei University/Department of Radiology,Affiliated Hospital of Hebei University,Baoding 071000,China;Department of Radiology,Hebei Key Laboratory of Precise Imaging of Inflammation Related Tumors,the Affiliated Hospital of Hebei University,Baoding 071000,China)

机构地区：[1]河北大学临床医学院/河北大学附属医院放射科,保定071000 [2]河北大学附属医院炎症相关肿瘤精细影像河北重点实验室放射科,保定071000

出　　处：《磁共振成像》2025年第2期185-192,共8页Chinese Journal of Magnetic Resonance Imaging

基　　金：河北大学研究生创新资助(编号:hbu202431)。

摘　　要：脑转移瘤(brain metastases,BMs)是发病率最高的颅内恶性肿瘤,其中肺癌BMs在临床中尤为常见,这与肺癌的不良预后和高死亡率紧密相关。因此,对肺癌BMs的精准诊疗对于其临床管理而言具有举足轻重的意义。磁共振成像(magnetic resonance imaging,MRI)因其高度的敏感性和特异性已被广泛视为BMs诊断及预后评估的影像学金标准。MRI影像组学能够通过高通量的特征提取方法,更为精细地刻画肿瘤的内部结构和异质性,从MRI中挖掘出的定量图像特征与肿瘤的生物学行为和临床预后密切相关,可为临床医生提供更为丰富的决策支持信息,从而提升诊断的精准度和治疗的个性化。近期的研究显示,MRI影像组学在提高临床医生对肺癌BMs的诊断、分类、治疗以及预后预测的准确性和高效性方面表现出巨大潜力。本文旨在从数据分割处理和模型建立方面广泛总结MRI影像组学在肺癌BMs中的最新应用,以期为这一新兴领域的研究提供启示。Brain metastases(BMs)are the most prevalent intracranial malignancies,with lung cancer BMs being particularly common in clinical practice,closely associated with the poor prognosis and high mortality of lung cancer.Therefore,precise diagnosis and treatment of lung cancer BMs are of paramount importance for their clinical management.Magnetic resonance imaging(MRI)has been widely regarded as the imaging gold standard for the diagnosis and prognosis assessment of BMs due to its high sensitivity and specificity.MRI radiomics enables a more detailed characterization of the internal structure and heterogeneity of tumors through high-throughput feature extraction methods.The quantitative imaging features extracted from MRI are closely related to the biological behavior and clinical prognosis of tumors,providing clinicians with richer decision-support information to enhance the accuracy of diagnosis and personalization of treatment.Recent studies have shown that MRI radiomics demonstrates great potential in improving the accuracy and efficiency of clinicians in diagnosing,classifying,treating,and predicting the prognosis of lung cancer BMs.This article aims to comprehensively summarize the latest applications of MRI radiomics in lung cancer BMs in terms of data segmentation processing and model establishment,in order to provide insights for research in this emerging field.

关 键 词：脑转移瘤 肺癌 磁共振成像 影像组学 深度学习 人工智能 

分 类 号：R445.2[医药卫生—影像医学与核医学] R739.41[医药卫生—诊断学] R734.2[医药卫生—临床医学]