期刊文献+

Feasibility and value of quantitative dynamic contrast enhancement MR imaging in the evaluation of sinonasal tumors 被引量:13

Feasibility and value of quantitative dynamic contrast enhancement MR imaging in the evaluation of sinonasal tumors
原文传递
导出
摘要 Background Quantitative dynamic contrast enhancement MR imaging (DCE-MRI),used to measure properties of tissue microvasculature and tumor angiogenesis,is a promising method for distinguishing benign and malignant tumors and characterizing tumor response to antiangiogenic treatment.The aim of this study was to assess the feasibility of quantitative parameters derived from clinically used DCE-MRI for distinguishing benign from malignant tumors in the sinonasal area,which may be potentially useful for prediction and monitoring of treatment response to chemoradiotherapy of sinonasal tumors.Methods One hundred and forty-three patients with sinonasal tumors,including 78 malignant tumors and 65 benign tumors and tumor-like lesions,underwent clinically used DCE-MRI.Parametric maps were obtained for quantitative parameters including Ktrans,kep and ve.Two radiologists reviewed these maps and measured Ktrans,kep and ve in the tumor tissue.Data were analyzed using independent T-test or Mann-Whitney U test analysis and receiver operating characteristic curves.Results Ktrans,kep and ve showed significant differences between benign and malignant tumors in the sinonasal area (P=-0.000 1).The accuracy of Ktrans,kep and ve in differentiation between benign and malignant sinonasal tumors were 72.0%,76.2% and 67.1%,respectively.There were significant differences in kep and ve between malignant epithelial sinonasal tumors and lymphomas (P <0.05).Using a ve value of 0.213 as the threshold value differentiated malignant epithelial tumors from lymphomas with an accuracy of 78.3%,sensitivity of 88.2%,specificity of 68.0%,positive predictive value of 66.7%,and negative predictive value of 90.9%.However,no significant difference in Ktrans and kep was found between malignant epithelial and non-epithelial tumors in the sinonasal area (P >0.05).Conclusions It is feasible that quantitative parameters of tumors can be derived from clinically used DCE-MRI in the sinonasal region.Preliminary findings suggest an increased value for quantitative DCE-MRI in the evaluation of sinonasal tumors in clinical practice. Background Quantitative dynamic contrast enhancement MR imaging (DCE-MRI),used to measure properties of tissue microvasculature and tumor angiogenesis,is a promising method for distinguishing benign and malignant tumors and characterizing tumor response to antiangiogenic treatment.The aim of this study was to assess the feasibility of quantitative parameters derived from clinically used DCE-MRI for distinguishing benign from malignant tumors in the sinonasal area,which may be potentially useful for prediction and monitoring of treatment response to chemoradiotherapy of sinonasal tumors.Methods One hundred and forty-three patients with sinonasal tumors,including 78 malignant tumors and 65 benign tumors and tumor-like lesions,underwent clinically used DCE-MRI.Parametric maps were obtained for quantitative parameters including Ktrans,kep and ve.Two radiologists reviewed these maps and measured Ktrans,kep and ve in the tumor tissue.Data were analyzed using independent T-test or Mann-Whitney U test analysis and receiver operating characteristic curves.Results Ktrans,kep and ve showed significant differences between benign and malignant tumors in the sinonasal area (P=-0.000 1).The accuracy of Ktrans,kep and ve in differentiation between benign and malignant sinonasal tumors were 72.0%,76.2% and 67.1%,respectively.There were significant differences in kep and ve between malignant epithelial sinonasal tumors and lymphomas (P <0.05).Using a ve value of 0.213 as the threshold value differentiated malignant epithelial tumors from lymphomas with an accuracy of 78.3%,sensitivity of 88.2%,specificity of 68.0%,positive predictive value of 66.7%,and negative predictive value of 90.9%.However,no significant difference in Ktrans and kep was found between malignant epithelial and non-epithelial tumors in the sinonasal area (P >0.05).Conclusions It is feasible that quantitative parameters of tumors can be derived from clinically used DCE-MRI in the sinonasal region.Preliminary findings suggest an increased value for quantitative DCE-MRI in the evaluation of sinonasal tumors in clinical practice.
出处 《Chinese Medical Journal》 SCIE CAS CSCD 2014年第12期2259-2264,共6页 中华医学杂志(英文版)
基金 This work was supported by grants from Beijing Excellent Talents Foundation (No.2010D003034000033),Beijing Municipal Natural Science Foundation (No.7112030),High Levels of Health Technical Personnel in Beijing City (No.2011-3-047) and China Postdoctoral Science Foundation (No.2011M500026).
关键词 nasal cavity paranasal sinus NEOPLASM cancer quantitatively dynamic contrast enhanced scanning magnetic resonance imaging nasal cavity paranasal sinus neoplasm cancer quantitatively dynamic contrast enhanced scanning magnetic resonance imaging
  • 相关文献

参考文献21

  • 1Barnes L,Brandwein M,Sor PM. Diseases of the nose,paranasal sinuses,and nasopharynx. In Barnes L,ed,Surgical pathology of the head and neck,2nd ed. New York:Marcel Decker; 2001:439-555.
  • 2Lund VJ. Malignant tumors of the nasal cavity and paranasal sinuses. J Otorhinolaryngol Relat Spec 1983; 45:1-12.
  • 3Sasaki M,Sumi M,Eida S,Ichikawa Y,Sumi T,Yamada T,et al. Multiparametric MR imaging of sinonasal diseases:timesignal intensity curve-and apparent diffusion coefficient-based differentiation between benign and malignant lesions. AJNR Am J Neuroradiol 2011; 32:2154-2159.
  • 4Madani G,Beale TJ,Lund VJ. Imaging of sinonasal tumors. Semin Ultrasound CT MRI 2009; 30:25-38.
  • 5Medved M,Karczmar G,Yang C,Dignam J,Gajewski TF,Kindler H,et al. Semiquantitative analysis of dynamic contrast enhanced MRI in cancer patients:variability and changes in tumor tissue over time. J Magn Reson Imaging 2004; 20:122-128.
  • 6Harry VN,Semple SI,Parkin DE,Gilbert FJ. Use of new imaging techniques to predict tumour response to therapy. Lancet Oncol 2010; 11:92-102.
  • 7Hylton N. Dynamic contrast-enhanced magnetic resonance imaging as an imaging biomarker. J Clin Oncol 2006; 24:3293-3298.
  • 8Choong N,Vokes E. Expanding role of the medical oncologist in the management of head and neck cancer. CA Cancer J Clin 2008; 58:32-53.
  • 9Argiris A,Karamouzis MV,Raben D,Ferris RL. Head and neck cancer. Lancet 2008; 371:1695-1709.
  • 10Chawla S,Kim S,Dougherty L,Wang S,Loevner LA,Quon H,at al. Pretreatment diffusion-weighted and dynamic contrastenhanced MRI for prediction of local treatment response in squamous cell carcinomas of the head and neck. AJR Am J Roentgenol 2013; 200:35-43.

同被引文献46

引证文献13

二级引证文献74

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部