脑胶质瘤的肿瘤内易感信号:我们站在哪里?

IF 2.3 Frontiers in radiology Pub Date : 2025-02-20 eCollection Date: 2025-01-01 DOI:10.3389/fradi.2025.1546069
Simone Cataldi, Paola Feraco, Maurizio Marrale, Pierpaolo Alongi, Laura Geraci, Ludovico La Grutta, Giuseppe Caruso, Tommaso Vincenzo Bartolotta, Massimo Midiri, Cesare Gagliardo
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摘要

如今,肿瘤的遗传和生物分子特征及其生物学行为已经成为肿瘤学的一个关键问题,因为它们影响着诊断和治疗的许多方面。在神经肿瘤学领域,神经放射学研究最近探索了基于磁共振成像(MRI)的非侵入性预测原发性脑肿瘤,特别是胶质瘤的分子表型的潜力,使用传统和先进的成像技术。其中,弥散加权成像(DWI)、灌注加权成像(PWI)、磁共振光谱(MRS)和敏感性加权成像(SWI)已被用于探索胶质瘤生物学的各个方面,包括预测治疗反应和了解随访成像过程中治疗相关的变化。最近,肿瘤内易感信号(itss)-在wi上可见-已被认为是评估脑胶质瘤的重要新成像工具,因为它们提供了快速,简单的非侵入性窗口,以了解其微环境。这些肿瘤内的低密度反映了关键的病理特征,如微出血、钙化、坏死和血管化。因此,itss可以为神经放射学家提供更多的生物学信息,用于胶质瘤的鉴别诊断、分级和亚型划分,在预后评估、治疗管理和治疗反应评估方面提供重要的临床支持。本文综述了ITSS在胶质瘤评估中的最新进展,强调了其潜力和局限性,同时参考了该领域的关键研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Intra-tumoral susceptibility signals in brain gliomas: where do we stand?

Nowadays, the genetic and biomolecular profile of neoplasms-related with their biological behaviour-have become a key issue in oncology, as they influence many aspects of both diagnosis and treatment. In the neuro-oncology field, neuroradiological research has recently explored the potential of non-invasively predicting the molecular phenotype of primary brain neoplasms, particularly gliomas, based on magnetic resonance imaging (MRI), using both conventional and advanced imaging techniques. Among these, diffusion-weighted imaging (DWI), perfusion-weighted imaging (PWI), MR spectroscopy (MRS) and susceptibility-weighted imaging (SWI) and have been used to explore various aspects of glioma biology, including predicting treatment response and understanding treatment-related changes during follow-up imaging. Recently, intratumoral susceptibility signals (ITSSs)-visible on SWI-have been recognised as an important new imaging tool in the evaluation of brain gliomas, as they offer a fast and simple non-invasive window into their microenvironment. These intratumoral hypointensities reflect critical pathological features such as microhemorrhages, calcifications, necrosis and vascularization. Therefore, ITSSs can provide neuroradiologists with more biological information for glioma differential diagnosis, grading and subtype differentiation, providing significant clinical support in prognosis assessment, therapeutic management and treatment response evaluation. This review summarizes recent advances in ITSS applications in glioma assessment, emphasizing both its potential and limitations while referencing key studies in the field.

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