Li Zheng, Xian Mu, Guo Jian, Wang Cheng Shuo, Zhang Luo, Xian Junfang
Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Br J Radiol. 2022 Jun 1;95(1134):20211374. doi: 10.1259/bjr.20211374. Epub 2022 Mar 3.
To investigate the diagnostic performance of quantitative and semi-quantitative parameters derived from dynamic contrast-enhanced MRI (DCE-MRI) in differentiating sinonasal inverted papilloma (SIP) from SIP with coexisting malignant transformation into squamous cell carcinoma (MT-SIP).
This retrospective study included 122 patients with 88 SIP and 34 MT-SIP. Quantitative and semi-quantitative parameters derived from DCE-MRI were compared between SIP and MT-SIP. The multivariate logistic regression analysis was performed to identify independent indicators and construct regression model for distinguishing MT-SIP and SIP. Diagnostic performance of independent indicators and regression model were evaluated using receiver operating coefficient (ROC) analysis and compared using DeLong test.
There were significant differences in maximum slope of increase, contrast-enhancement ratio, bolus arrival time, volume of extravascular extracellular space (V), and rate constant (K) between SIP and MT-SIP ( < 0.05). There were no significant differences in initial area under the gadolinium curve ( = 0.174) and volume transfer constant ( = 0.105) between two groups. Multivariate analysis results showed that V and K were identified as the independent indicators for differentiating MT-SIP from SIP ( < 0.001). Areas under the ROC curves (AUCs) for predicting MT-SIP were 0.779 for V and 0.766 for K. The AUC of the combination of V and K was 0.831, yielding 83% specificity and 76.5% sensitivity.
DCE-MRI can quantitatively differentiate between MT-SIP and SIP. The combination of V and K yielded an optimal performance for discriminating SIP from its malignant mimics.
DCE-MRI with quantitative and semi-quantitative parameters can provide valuable evidences for quantitatively identifying MT-SIP.
探讨动态对比增强磁共振成像(DCE-MRI)得出的定量和半定量参数在鉴别鼻窦内翻性乳头状瘤(SIP)与合并鳞状细胞癌恶变(MT-SIP)的SIP中的诊断效能。
这项回顾性研究纳入了122例患者,其中88例为SIP,34例为MT-SIP。比较了SIP和MT-SIP之间DCE-MRI得出的定量和半定量参数。进行多因素逻辑回归分析以确定独立指标,并构建区分MT-SIP和SIP的回归模型。使用受试者工作特征曲线(ROC)分析评估独立指标和回归模型的诊断效能,并使用德龙检验进行比较。
SIP和MT-SIP之间在最大上升斜率、对比增强率、团注到达时间、血管外细胞外间隙容积(V)和速率常数(K)方面存在显著差异(<0.05)。两组之间钆曲线下初始面积(=0.174)和容积转移常数(=0.105)无显著差异。多因素分析结果显示,V和K被确定为区分MT-SIP和SIP的独立指标(<0.001)。预测MT-SIP的ROC曲线下面积(AUC),V为0.779,K为0.766。V和K联合的AUC为0.831,特异性为83%,敏感性为76.5%。
DCE-MRI能够定量区分MT-SIP和SIP。V和K联合在鉴别SIP与其恶性模仿病变方面表现最佳。
具有定量和半定量参数的DCE-MRI可为定量识别MT-SIP提供有价值的证据。