Seiler Alexander, Nöth Ulrike, Hok Pavel, Reiländer Annemarie, Maiworm Michelle, Baudrexel Simon, Meuth Sven, Rosenow Felix, Steinmetz Helmuth, Wagner Marlies, Hattingen Elke, Deichmann Ralf, Gracien René-Maxime
Department of Neurology, Goethe University, Frankfurt, Germany.
Brain Imaging Center, Goethe University, Frankfurt, Germany.
Front Neurol. 2021 Mar 8;12:640239. doi: 10.3389/fneur.2021.640239. eCollection 2021.
Magnetic resonance imaging (MRI) is the gold standard imaging technique for diagnosis and monitoring of many neurological diseases. However, the application of conventional MRI in clinical routine is mainly limited to the visual detection of macroscopic tissue pathology since mixed tissue contrasts depending on hardware and protocol parameters hamper its application for the assessment of subtle or diffuse impairment of the structural tissue integrity. Multiparametric quantitative (q)MRI determines tissue parameters quantitatively, enabling the detection of microstructural processes related to tissue remodeling in aging and neurological diseases. In contrast to measuring tissue atrophy via structural imaging, multiparametric qMRI allows for investigating biologically distinct microstructural processes, which precede changes of the tissue volume. This facilitates a more comprehensive characterization of tissue alterations by revealing early impairment of the microstructural integrity and specific disease-related patterns. So far, qMRI techniques have been employed in a wide range of neurological diseases, including in particular conditions with inflammatory, cerebrovascular and neurodegenerative pathology. Numerous studies suggest that qMRI might add valuable information, including the detection of microstructural tissue damage in areas appearing normal on conventional MRI and unveiling the microstructural correlates of clinical manifestations. This review will give an overview of current qMRI techniques, the most relevant tissue parameters and potential applications in neurological diseases, such as early (differential) diagnosis, monitoring of disease progression, and evaluating effects of therapeutic interventions.
磁共振成像(MRI)是诊断和监测多种神经系统疾病的金标准成像技术。然而,传统MRI在临床常规应用中主要局限于宏观组织病理学的视觉检测,因为取决于硬件和协议参数的混合组织对比度阻碍了其在评估结构组织完整性的细微或弥漫性损伤方面的应用。多参数定量(q)MRI可定量确定组织参数,从而能够检测与衰老和神经系统疾病中组织重塑相关的微观结构过程。与通过结构成像测量组织萎缩不同,多参数qMRI能够研究在组织体积变化之前生物学上不同的微观结构过程。这通过揭示微观结构完整性的早期损伤和特定疾病相关模式,有助于更全面地表征组织改变。到目前为止,qMRI技术已应用于广泛的神经系统疾病,特别是包括具有炎症、脑血管和神经退行性病变的疾病。大量研究表明,qMRI可能会提供有价值的信息,包括在传统MRI上看似正常的区域检测微观结构组织损伤以及揭示临床表现的微观结构相关性。本综述将概述当前的qMRI技术、最相关的组织参数以及在神经系统疾病中的潜在应用,如早期(鉴别)诊断、疾病进展监测以及评估治疗干预效果。