Magnetic resonance imaging (MRI) currently serves as the primary diagnostic method for glioma detection and monitoring. The integration of neurosurgery, radiation therapy, pathology, and radiology in a multi-disciplinary approach has significantly advanced its diagnosis and treatment. However, the prognosis remains unfavorable due to treatment resistance, inconsistent response rates, and high recurrence rates after surgery. These factors are closely associated with the complex molecular characteristics of the tumors, the internal heterogeneity, and the relevant external microenvironment. The complete removal of gliomas presents challenges due to their infiltrative growth pattern along the white matter fibers and perivascular space. Therefore, it is crucial to comprehensively understand the molecular features of gliomas and analyze the internal tumor heterogeneity in order to accurately characterize and quantify the tumor invasion range. The multi-parameter quantitative MRI technique provides an opportunity to investigate the microenvironment and aggressiveness of glioma tumors at the cellular, blood perfusion, and cerebrovascular response levels. Therefore, this review examines the current applications of advanced multi-parameter quantitative MRI in glioma research and explores the prospects for future development.
磁共振成像（MRI）是目前胶质瘤检测与监测的主要诊断手段。通过神经外科、放射治疗、病理学及放射学的多学科协作模式，其诊疗水平已取得显著进展。然而，由于治疗抵抗性、疗效反应不一及术后高复发率等因素，胶质瘤预后仍然不佳。这些因素与肿瘤复杂的分子特征、内部异质性及外部微环境密切相关。胶质瘤沿白质纤维束和血管周围间隙呈浸润性生长，导致其完全切除面临挑战。因此，全面认识胶质瘤的分子特征，分析肿瘤内部异质性，对准确界定和量化肿瘤侵袭范围至关重要。多参数定量MRI技术为从细胞水平、血流灌注及脑血管反应层面研究胶质瘤微环境与侵袭性提供了契机。本文综述了当前先进多参数定量MRI在胶质瘤研究中的应用现状，并展望其未来发展前景。
肿瘤(癌症)患者之家