Song Dandan, Fan Guoguang, Chang Miao
Department of Radiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang 110001, China.
Cancers (Basel). 2024 Dec 29;17(1):74. doi: 10.3390/cancers17010074.
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)目前是胶质瘤检测和监测的主要诊断方法。神经外科、放射治疗、病理学和放射学多学科方法的整合显著推进了其诊断和治疗。然而,由于治疗抵抗、反应率不一致以及手术后高复发率,预后仍然不佳。这些因素与肿瘤的复杂分子特征、内部异质性以及相关的外部微环境密切相关。由于胶质瘤沿白质纤维和血管周围间隙呈浸润性生长模式,完全切除胶质瘤具有挑战性。因此,全面了解胶质瘤的分子特征并分析肿瘤内部异质性,以准确表征和量化肿瘤侵袭范围至关重要。多参数定量MRI技术为在细胞、血液灌注和脑血管反应水平研究胶质瘤肿瘤的微环境和侵袭性提供了机会。因此,本综述探讨了先进的多参数定量MRI在胶质瘤研究中的当前应用,并探索了未来发展前景。