应用MRI预测成人型弥漫性脑胶质瘤分子病理的研究现状与进展

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第5版WHO中枢神经系统肿瘤分类进一步强调了分子病理在成人型弥漫性脑胶质瘤（DG）分类中的意义。术前应用影像学方法针对DG分子病理进行准确评估对实现胶质瘤精准诊断及选择合适治疗决策具有重要意义。MRI是DG诊疗过程中临床常规和核心的检查方式，多种MRI技术以及新的分析方法可以为全面表征肿瘤提供多维度和多层次的影像学信息；人工智能(AI)的发展可以更加充分利用潜在的图像信息，为非侵入性预测分子病理提供了新的方向。近年来MRI图像结合AI在预测DG分子病理方面取得了重大进展，但其在临床中的实际效果还需要进一步验证，建立一套临床可行的AI诊疗方案需要多学科共同努力。

The fifth edition of the 2021 WHO Classification of Tumors of the Central Nervous System(WHO CNS5) further emphasized the significance of molecular pathology in the classification of adult-type diffuse glioma(DG). Accurate evaluation of DG molecular pathology using imaging methods before surgery is of great significance in achieving accurate diagnosis of glioma and selecting appropriate treatment decisions. MRI is the routine and core examination method in the clinical diagnosis and treatment of DG. Multi-parametric MRI and new analysis methods can provide multi-dimensional and multi-level imaging information for comprehensive characterization of tumors. The development of artificial intelligence(AI) can make full use of potential image information, providing a new direction for non-invasive prediction of molecular pathology. In recent years, MRI combined with AI has made great progress in predicting DG molecular pathology, but its practical effect in clinical needs further verification. The establishment of a set of clinically feasible AI diagnosis and treatment program requires the joint efforts of multiple disciplines.