Article Summary
多模态磁共振成像预测肝细胞癌微血管浸润的研究进展
Research progress on predicting microvascular infiltration in hepatocellular carcinoma using multimodal magnetic resonance imaging
投稿时间:2025-04-28  修订日期:2025-04-28
DOI:
中文关键词: 肝细胞癌  微血管浸润  磁共振成像  磁共振扩散加权成像
英文关键词: Hepatocellular carcinoma  Microvascular infiltration  Multimodal magnetic resonance imaging  Diffusion weighted imaging
基金项目:甘肃省自然科学基金(22JR5RA018)
作者单位邮编
洪叶* 中国人民解放军联勤保障部队第九四〇医院 730100
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中文摘要:
      微血管浸润(MVI)与肝细胞癌的治疗疗效及预后存在紧密联系。随着影像学检查手段的不断发展,多模态磁共振成像(MRI)是一种非侵入性且定量的检查方法,其结合了多种成像模式,包括磁共振T1/T2加权成像(T1/T2WI)、功能MRI[弥散加权成像(DWI)、体素内不相干运动(IVIM)及扩散峰度成像(DKI)]、动态对比增强MRI(DCE-MRI)、肝胆期成像(HBP)等,能够获取多种不同的成像参数,为临床医师提供更为全面、准确的诊断信息,现已广泛应用于肝细胞癌的诊断分级、疗效评估、预后及MVI预测等方面。基于此,本文梳理了近年来多模态MRI在肝细胞癌MVI方面的应用相关文献,对多模态MRI在肝细胞癌MVI预测中的研究现状及进展进行综述,旨在进一步分析多模态MRI在肝细胞癌MVI应用中存在的挑战,促进预测肝细胞癌MVI的临床运用,以提高对肝细胞癌MVI预测的准确性。
英文摘要:
      Abstract There was a close relationship between microvascular invasion (MVI) and the therapeutic efficacy and prognosis of hepatocellular carcinoma. With the continuous development of imaging examination methods, multimodal magnetic resonance imaging (MRI) was a non-invasive and quantitative examination method that combines multiple imaging modes, including magnetic resonance T1/T2 weighted imaging (T1/T2WI), functional MRI [diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM) and diffusion-kurtosis imaging (DKI)], dynamic contrast-enhanced MRI (DCE-MRI), hepatobiliary phase imaging (HBP), etc, it can obtain various imaging parameters and provide more comprehensive and accurate diagnostic information for clinicians, it has been widely used in the diagnosis and grading, efficacy evaluation, prognosis, and MVI prediction of hepatocellular carcinoma. Based on this, this article reviews the relevant literature on the application of multimodal MRI in MVI of hepatocellular carcinoma in recent years, and summarizes the research status and progress of multimodal MRI in predicting hepatocellular carcinoma MVI, the aim was to further analyze the challenges of multimodal MRI in the application of hepatocellular carcinoma MVI, promote the clinical application of predicting hepatocellular carcinoma MVI, and improve the accuracy of predicting of hepatocellular carcinoma MVI.
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