Ban Xiaohua, Hu Huijun, Li Yue, Yang Lingjie, Wang Yu, Zhang Rong, Xie Chuanmiao, Zhou Cuiping, Duan Xiaohui
Department of Radiology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, People's Republic of China.
Department of Radiology, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, Guangdong, 510120, People's Republic of China.
Insights Imaging. 2022 Jul 15;13(1):119. doi: 10.1186/s13244-022-01256-x.
Primary parotid squamous cell carcinoma (SCC) is a rare entity with a poor prognosis. Pathologically, the diagnosis of it requires the exclusion of parotid mucoepidermoid carcinoma (MEC). Currently, the imaging features of primary parotid SCC and the predictive indicators for differential diagnosis of the two entities have not been well reported. Our purpose was to identify the imaging characteristics of primary parotid SCC and to determine the predictive factors for its' differential diagnosis.
Thirty-one participants with primary parotid SCC and 59 with primary parotid MEC were enrolled. Clinical, CT and MRI features were reviewed and compared by univariate analysis. Then, multinomial logistic regression was used to determine the predictors to distinguish parotid SCC from MEC. Most primary parotid SCCs exhibited irregular shape, ill-defined margin, incomplete or no capsule, heterogeneous and marked or moderate enhancement, necrosis, local tumor invasiveness (LTI). Age, maximal dimension, shape, degree of enhancement, gradual enhancement, necrosis, and LTI were different between the primary parotid SCCs and MECs in univariate analysis (p < 0.05). While in multinomial logistic regression analysis, only age and necrosis were the independent predictors for distinguishing parotid SCC from MEC, and this model exhibited an area under curve of 0.914 in ROC curve analysis.
Primary parotid SCC has some distinct imaging features including the large tumor size, irregular shape, ill-defined margin, and particularly the marked central necrosis. Patients with age ≥ 51.5 years and necrosis on the image of the primary tumor in the parotid gland could be more likely to be SCCs than MECs.
原发性腮腺鳞状细胞癌(SCC)是一种罕见的疾病,预后较差。在病理上,其诊断需要排除腮腺黏液表皮样癌(MEC)。目前,原发性腮腺SCC的影像学特征以及这两种疾病鉴别诊断的预测指标尚未得到充分报道。我们的目的是确定原发性腮腺SCC的影像学特征,并确定其鉴别诊断的预测因素。
纳入了31例原发性腮腺SCC患者和59例原发性腮腺MEC患者。通过单因素分析对临床、CT和MRI特征进行了回顾和比较。然后,采用多项逻辑回归分析来确定区分腮腺SCC和MEC的预测因素。大多数原发性腮腺SCC表现为形态不规则、边界不清、包膜不完整或无包膜、不均匀且明显或中度强化、坏死、局部肿瘤浸润(LTI)。单因素分析显示,原发性腮腺SCC和MEC在年龄、最大径、形态、强化程度、渐进性强化、坏死和LTI方面存在差异(p < 0.05)。而在多项逻辑回归分析中,只有年龄和坏死是区分腮腺SCC和MEC的独立预测因素,该模型在ROC曲线分析中的曲线下面积为0.914。
原发性腮腺SCC具有一些独特的影像学特征,包括肿瘤体积大、形态不规则、边界不清,尤其是明显的中央坏死。年龄≥51.5岁且腮腺原发性肿瘤影像上有坏死的患者,患SCC的可能性比MEC更大。