Dynamic contrast-enhanced MRI can quantitatively identify malignant transformation of sinonasal inverted papilloma
العنوان: | Dynamic contrast-enhanced MRI can quantitatively identify malignant transformation of sinonasal inverted papilloma |
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المؤلفون: | Zheng Li, Mu Xian, Jian Guo, Cheng shuo Wang, Luo Zhang, Junfang Xian |
المصدر: | The British Journal of Radiology. 95 |
بيانات النشر: | British Institute of Radiology, 2022. |
سنة النشر: | 2022 |
مصطلحات موضوعية: | Diagnosis, Differential, Papilloma, Inverted, Head and Neck Neoplasms, Contrast Media, Humans, Radiology, Nuclear Medicine and imaging, General Medicine, Magnetic Resonance Imaging, Retrospective Studies |
الوصف: | Objective: 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). Methods: 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. Results: There were significant differences in maximum slope of increase, contrast-enhancement ratio, bolus arrival time, volume of extravascular extracellular space (Ve), and rate constant (Kep) between SIP and MT-SIP (p < 0.05). There were no significant differences in initial area under the gadolinium curve (p = 0.174) and volume transfer constant (p = 0.105) between two groups. Multivariate analysis results showed that Ve and Kep were identified as the independent indicators for differentiating MT-SIP from SIP (p < 0.001). Areas under the ROC curves (AUCs) for predicting MT-SIP were 0.779 for Ve and 0.766 for Kep. The AUC of the combination of Ve and Kep was 0.831, yielding 83% specificity and 76.5% sensitivity. Conclusion: DCE-MRI can quantitatively differentiate between MT-SIP and SIP. The combination of Ve and Kep yielded an optimal performance for discriminating SIP from its malignant mimics. Advances in knowledge: DCE-MRI with quantitative and semi-quantitative parameters can provide valuable evidences for quantitatively identifying MT-SIP. |
تدمد: | 1748-880X 0007-1285 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af3f8bb11d3f9e79ba21cdee16a45819 https://doi.org/10.1259/bjr.20211374 |
رقم الأكسشن: | edsair.doi.dedup.....af3f8bb11d3f9e79ba21cdee16a45819 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 1748880X 00071285 |
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