Cintra Murilo Bicudo, Ricz Hilton, Mafee Mahmood F, Dos Santos Antonio Carlos
MD, PhD, Head and Neck Radiology, Radiology Division, Department of Internal Medicine, Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (FMRP-USP), Ribeirão Preto, SP, Brazil.
MD, PhD, Professor of Head and Neck Surgery, Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (FMRP-USP), Ribeirão Preto, SP, Brazil.
Radiol Bras. 2018 Mar-Apr;51(2):71-75. doi: 10.1590/0100-3984.2017.0005.
To examine the potential of two magnetic resonance imaging (MRI) techniques-dynamic contrast enhancement (DCE) and diffusion-weighted imaging (DWI)-for the detection of malignant cervical lymph nodes.
Using DCE and DWI, we evaluated 33 cervical lymph nodes. For the DCE technique, the maximum relative enhancement, relative enhancement, time to peak enhancement, wash-in rate, wash-out rate, brevity of enhancement, and area under the curve were calculated from a semi-quantitative analysis. For the DWI technique, apparent diffusion coefficients (ADCs) were acquired in the region of interest of each lymph node. Cystic or necrotic parts were excluded. All patients underwent neck dissection or node biopsy. Imaging results were correlated with the histopathological findings. None of the patients underwent neoadjuvant treatment before neck dissection.
Relative enhancement, maximum relative enhancement, and the wash-in rate were significantly higher in malignant lymph nodes than in benign lymph nodes ( < 0.009; < 0.05; and < 0.03, respectively). The time to peak enhancement was significantly shorter in the malignant lymph nodes ( < 0.02). In the multivariate analysis, the variables identified as being the most capable of distinguishing between benign and malignant lymph nodes were time to peak enhancement (sensitivity, 73.7%; specificity, 69.2%) and relative enhancement (sensitivity, 89.2%; specificity, 69.2%).
Although DCE was able to differentiate between benign and malignant lymph nodes, there is still no consensus regarding the use of a semi-quantitative analysis, which is difficult to apply in a clinical setting. Low ADCs can predict metastatic disease, although inflammatory processes might lead to false-positive results.
探讨两种磁共振成像(MRI)技术——动态对比增强(DCE)和扩散加权成像(DWI)——在检测恶性颈部淋巴结方面的潜力。
我们使用DCE和DWI对33个颈部淋巴结进行了评估。对于DCE技术,通过半定量分析计算最大相对增强、相对增强、达到峰值增强的时间、流入率、流出率、增强的短暂性以及曲线下面积。对于DWI技术,在每个淋巴结的感兴趣区域获取表观扩散系数(ADC)。排除囊性或坏死部分。所有患者均接受了颈部清扫术或淋巴结活检。将成像结果与组织病理学结果进行关联。所有患者在颈部清扫术前均未接受新辅助治疗。
恶性淋巴结的相对增强、最大相对增强和流入率显著高于良性淋巴结(分别为<0.009;<0.05;和<0.03)。恶性淋巴结达到峰值增强的时间显著缩短(<0.02)。在多变量分析中,被确定最能区分良性和恶性淋巴结变量的是达到峰值增强的时间(敏感性,73.7%;特异性,69.2%)和相对增强(敏感性,89.2%;特异性,69.2%)。
尽管DCE能够区分良性和恶性淋巴结,但对于半定量分析的应用仍未达成共识,且该分析难以应用于临床环境。低ADC值可预测转移性疾病,尽管炎症过程可能导致假阳性结果。