Multiparametric MR Imaging of Sinonasal Diseases: Time-Signal Intensity Curve- and Apparent Diffusion Coefficient-Based Differentiation between Benign and Malignant Lesions
Multiparametric MR Imaging of Sinonasal Diseases: Time-Signal Intensity Curve- and Apparent Diffusion Coefficient-Based Differentiation between Benign and Malignant Lesions
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DOI：
10.3174/ajnr.a2675
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发表时间：
2011-12-01
影响因子：
3.5
通讯作者：
Nakamura, T.
中科院分区：
文献类型：
--
作者：
Sasaki, M.;Sumi, M.;Nakamura, T.
背景和目的：鼻窦区域是一个平台，为一个广泛的良性和恶性疾病，并在这方面的良性和恶性疾病之间的图像为基础的区分往往是困难的。在此，我们评估了多参数MRI联合使用TIC和ADC对良恶性鼻窦肿瘤和肿瘤样疾病的鉴别诊断价值。材料和方法：通过动态对比增强MR成像和ADC获得的TIC逐病灶分析（总TIC和ADC）和逐像素（TIC和ADC映射）的基础上在患有良性In = 21）或恶性In = 23）鼻窦肿瘤和肿瘤样疾病的患者中进行比较。TIC被半自动地分为5种不同的模式（平坦、缓慢摄取、低洗脱率的快速摄取、高洗脱率的快速摄取和混杂）。用b值为500和1000 s/mm（2）测定ADC值。结果：恶性鼻窦肿瘤有小面积（≥ 50%）低或极低ADC值。
BACKGROUND AND PURPOSE: The sinonasal region is a platform for a broad spectrum of benign and malignant diseases, and image-based differentiation between benign and malignant diseases in this area is often difficult. Here, we evaluated multiparametric MR imaging with combined use of TICs and ADCs for the differentiation between benign and malignant sinonasal tumors and tumorlike diseases.MATERIALS AND METHODS: TICs obtained from dynamic contrast-enhanced MR imaging and ADCs were analyzed on a lesion-by-lesion (overall TIC and ADC) and pixel-by-pixel (TIC and ADC mapping) basis in patients with benign In = 21) or malignant In = 23) sinonasal tumors and tumorlike diseases. The TICs were semiautomatically classified into 5 distinctive patterns (flat, slow uptake, rapid uptake with low washout ratio, rapid uptake with high washout ratio, and miscellaneous). ADCs were determined by using b-values of 500 and 1000 s/mm(2).RESULTS: Malignant sinonasal tumors had small (= 50%) areas of low or extremely low ADCs (