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作 者:王思思 张娅[1] 寸红丽 张岚 张荟美 陈婕 艾丛慧[1] WANG Sisi;ZHANG Ya;CUN Hongli;ZHANG Lan;ZHANG Huimei;CHEN Jie;AI Conghui(Department of Radiology,Yunnan Cancer Hospital,Kunming 650118,China)
出 处:《磁共振成像》2025年第4期202-207,共6页Chinese Journal of Magnetic Resonance Imaging
基 金:国家自然科学基金项目(编号:82160562);云南省科技厅昆医联合专项(编号:202001AY070001-071)。
摘 要:非高斯扩散模型是在传统磁共振扩散加权成像(diffusion-weighted imaging,DWI)基础上衍生出来的模型。目前有体素内不相干运动(intravoxel incoherent motion,IVIM)、连续时间随机游走(continuous-time random walk,CTRW)、扩散峰度成像(diffusion-kurtosis imaging,DKI)、分数阶微积分(fractional order calculus,FROC)、拉伸指数(stretched exponential model,SEM)、沿血管周围间隙扩散张量、白质纤维束完整性,平均表观传播因子MRI等多种模型。与传统扩散模型相比,这些非高斯扩散模型能够更精确地捕捉复杂的扩散过程,从而有效地反映组织微观结构的复杂性和异质性,提供额外的组织结构信息。近年来,IVIM、CTRW、DKI、FROC、SEM在评估宫颈癌的病理分型及分化程度、淋巴结转移以及放化疗疗效等方面正逐渐推广应用且各具特色。尽管这五种模型在宫颈癌中的研究日益增多,但目前尚未有文献系统综述这些模型在宫颈癌评估中的应用和比较。因此,本文将对上述五种非高斯扩散模型及其在宫颈癌中的应用进行综述,以期为临床诊断和治疗提供参考。Non-Gaussian diffusion models are derived from traditional magnetic resonance diffusion-weighted imaging(DWI).Currently,there are several models such as intravoxel incoherent motion(IVIM),continuous-time random walk(CTRW),diffusion-kurtosis imaging(DKI),fractional order calculus(FROC),stretched exponential model(SEM),diffusion tensor imaging-angi perivascular space,white matter tract integrity,and mean apparent propagator MRI and so on.Compared to traditional diffusion models,these Non-Gaussian diffusion models can more accurately capture complex diffusion processes,effectively reflecting the complexity and heterogeneity of tissue microstructures,and providing additional tissue structural information.In recent years,IVIM,CTRW,DKI,FROC and SEM have been gradually applied in the evaluation of cervical cancer pathotyping,differentiation,lymphnode metastasis and the efficacy of radiotherapy and chemotherapy,each with its unique characteristics.Although research on these five models in cervical cancer is increasing,there is currently no systematic review of their applications and comparisons in cervical cancer evaluation.Therefore,this article will review the above five non-Gaussian diffusion models and their applications in cervical cancer,in hopes of providing references for clinical diagnosis and treatment.
关 键 词:宫颈癌 磁共振成像 非高斯扩散模型 扩散加权成像 疗效预测
分 类 号:R445.2[医药卫生—影像医学与核医学] R737.33[医药卫生—诊断学]
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