头颈部肿瘤的定量扩散磁共振成像
Quantitative diffusion magnetic resonance imaging in head and neck tumors.
作者信息
Payabvash Seyedmehdi
机构信息
Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
出版信息
Quant Imaging Med Surg. 2018 Nov;8(10):1052-1065. doi: 10.21037/qims.2018.10.14.
In patients with head and neck cancer, conventional anatomical magnetic resonance imaging (MRI) scans are commonly used for identification of primary lesion, assessment of structural distortion, and presence of metastatic lymph nodes. However, quantitative analysis of diffusion MRI can provide added value to structural and anatomical evaluation of head and neck tumors (HNT), by differentiation of primary malignant process, prognostic prediction, and treatment monitoring. In this article, we will review the applications of quantitative diffusion MRI in identification of primary malignant tissue, differentiation of tumor pathology, prediction of molecular phenotype, monitoring of treatment response, and evaluation of posttreatment changes in patient with HNT.
在头颈癌患者中,传统的解剖学磁共振成像(MRI)扫描通常用于识别原发灶、评估结构变形以及有无转移性淋巴结。然而,扩散加权磁共振成像的定量分析可以通过鉴别原发性恶性病变、预后预测和治疗监测,为头颈肿瘤(HNT)的结构和解剖学评估提供附加价值。在本文中,我们将综述定量扩散加权磁共振成像在识别原发性恶性组织、鉴别肿瘤病理、预测分子表型、监测治疗反应以及评估HNT患者治疗后变化中的应用。
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