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- Title
Quantitative dynamic contrast-enhanced MR imaging for differentiating benign, borderline, and malignant ovarian tumors.
- Authors
Qiang, Jin-wei; Li, Yong-ai; Li, Hai-ming; Feng, Feng; Zhang, Guo-fu; Ma, Feng-hua; Zhao, Shu-hui; Gu, Wei-yong
- Abstract
Purpose: This study aimed to investigate the diagnostic performance of quantitative DCE-MRI for characterizing ovarian tumors.Methods: We prospectively assessed the differences of quantitative DCE-MRI parameters (Ktrans, kep, and ve) among 15 benign, 28 borderline, and 66 malignant ovarian tumors; and between type I (n = 28) and type II (n = 29) of epithelial ovarian carcinomas (EOCs). DCE-MRI data were analyzed using whole solid tumor volume region of interest (ROI) method, and quantitative parameters were calculated based on a modified Tofts model. The non-parametric Kruskal-Wallis test, Mann-Whitney U test, Pearson’s chi-square test, intraclass correlation coefficient (ICC), variance test, and receiver operating characteristic curves (ROC) were used for statistical analysis.Results: The largest Ktrans and kep values were observed in ovarian malignant tumors, followed by borderline and benign tumors (all P < 0.001). Kep was the better parameter for differentiating benign tumors from borderline and malignant tumors, with a sensitivity of 89.3% and 95.5%, a specificity of 86.7% and 100%, an accuracy of 88.4% and 96.3%, and an area under the curve (AUC) of 0.94 and 0.992, respectively, whereas Ktrans was better for differentiating borderline from malignant tumors with a sensitivity of 60.7%, a specificity of 78.8%, an accuracy of 73.4%, and an AUC of 0.743. In addition, a combination with kep could further improve the sensitivity to 78.9%. The median Ktrans and kep values were significantly higher in type II than in type I EOCs.Conclusion: DCE-MRI with volume quantification is a technically feasible method, and can be used for the differentiation of ovarian tumors and for discriminating between type I and type II EOCs.
- Subjects
QUANTITATIVE magnetic resonance; BENIGN tumors; OVARIAN tumors; CLINICAL pathology; DIAGNOSTIC imaging
- Publication
Abdominal Radiology, 2018, Vol 43, Issue 11, p3132
- ISSN
2366-004X
- Publication type
Article
- DOI
10.1007/s00261-018-1569-1