Advanced Imaging Research Center, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA.
Radiology, Biomedical Engineering, and Holden Cancer Center, University of Iowa, 169 Newton Road, Iowa City, IA 52242, USA.
Magn Reson Imaging Clin N Am. 2024 Feb;32(1):47-61. doi: 10.1016/j.mric.2023.09.001. Epub 2023 Oct 6.
The non-invasive dynamic contrast-enhanced MRI (DCE-MRI) method provides valuable insights into tissue perfusion and vascularity. Primarily used in oncology, DCE-MRI is typically utilized to assess morphology and contrast agent (CA) kinetics in the tissue of interest. Interpretation of the temporal signatures of DCE-MRI data includes qualitative, semi-quantitative, and quantitative approaches. Recent advances in MRI technology allow simultaneous high spatial and temporal resolutions in DCE-MRI data acquisition on most vendor platforms, enabling the more desirable approach of quantitative data analysis using pharmacokinetic (PK) modeling. Many technical factors, including signal-to-noise ratio, temporal resolution, quantifications of arterial input function and native tissue T1, and PK model selection, need to be carefully considered when performing quantitative DCE-MRI. Standardization in data acquisition and analysis is especially important in multi-center studies.
非侵入性动态对比增强磁共振成像（DCE-MRI）方法为组织灌注和血管生成提供了有价值的见解。DCE-MRI 主要用于肿瘤学，通常用于评估感兴趣组织的形态和对比剂（CA）动力学。DCE-MRI 数据的时间特征解释包括定性、半定量和定量方法。MRI 技术的最新进展允许在大多数供应商平台上进行 DCE-MRI 数据采集的高空间和时间分辨率，从而可以使用药代动力学（PK）模型进行更理想的定量数据分析。在进行定量 DCE-MRI 时，需要仔细考虑许多技术因素，包括信噪比、时间分辨率、动脉输入函数和固有组织 T1 的量化以及 PK 模型选择。在多中心研究中，数据采集和分析的标准化尤为重要。
