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应用定量扩散加权磁共振成像预测口咽鳞癌患者的人乳头瘤病毒状态。

Use of quantitative diffusion-weighted magnetic resonance imaging to predict human papilloma virus status in patients with oropharyngeal squamous cell carcinoma.

机构信息

Department of Head and Neck Surgery, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, Saitama, 350-1298, Japan,

出版信息

Eur Arch Otorhinolaryngol. 2014 May;271(5):1219-25. doi: 10.1007/s00405-013-2641-7. Epub 2013 Jul 24.

DOI:10.1007/s00405-013-2641-7
PMID:23880924
Abstract

Although identification of human papilloma virus (HPV) status in oropharyngeal squamous cell carcinoma (OPSCC) is essential in predicting treatment response, no imaging modality can currently determine whether a tumor is HPV-related. In this retrospective study, 26 patients with OPSCC confined to the lateral wall or the base of tongue underwent neck magnetic resonance imaging, using T1-, T2- and diffusion-weighted imaging (DWI). Apparent diffusion coefficients (ADCs) in a region of interest covering the largest available primary tumor area of OPSCC on a single slice of the ADC map were calculated using two b values (0 and 1,000 s/mm(2)). Mean and minimum ADCs were compared with HPV status, using p16 immunohistochemistry as a surrogate marker for HPV infection. Mean and minimum ADCs for HPV(+) OPSCC were significantly lower than those for HPV(-) OPSCC. A cut-off value of mean ADC for HPV(+) OPSCC of 1.027 × 10(-3) mm(2)/s yielded sensitivity and specificity of 83.33 and 78.57%, respectively. In conclusion, the present study indicates that ADC could be used to predict HPV status in patients with OPSCC.

摘要

尽管在预测治疗反应方面,确定口咽鳞状细胞癌(OPSCC)中的人乳头瘤病毒(HPV)状态至关重要,但目前没有任何成像方式可以确定肿瘤是否与 HPV 相关。在这项回顾性研究中,26 例局限于外侧壁或舌底的 OPSCC 患者接受了颈部磁共振成像,包括 T1、T2 和弥散加权成像(DWI)。使用 ADC 图上的单一切片,在 OPSCC 的最大肿瘤区域内的感兴趣区域中计算了两个 b 值(0 和 1,000 s/mm(2))的表观弥散系数(ADC)。使用 p16 免疫组化作为 HPV 感染的替代标志物,比较平均 ADC 和最小 ADC 与 HPV 状态。HPV(+) OPSCC 的平均 ADC 和最小 ADC 显著低于 HPV(-) OPSCC。对于 HPV(+) OPSCC,平均 ADC 的截断值为 1.027 × 10(-3) mm(2)/s,其敏感性和特异性分别为 83.33%和 78.57%。总之,本研究表明 ADC 可用于预测 OPSCC 患者的 HPV 状态。

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