TY - JOUR
T1 - Multiparametric MRI for differentiation of borderline ovarian tumors from stage I malignant epithelial ovarian tumors using multivariate logistic regression analysis
AU - Denewar, Fatmaelzahraa Abdelfattah
AU - Takeuchi, Mitsuru
AU - Urano, Misugi
AU - Kamishima, Yuki
AU - Kawai, Tatsuya
AU - Takahashi, Naoki
AU - Takeuchi, Moe
AU - Kobayashi, Susumu
AU - Honda, Junichi
AU - Shibamoto, Yuta
N1 - Publisher Copyright:
© 2017
PY - 2017/6/1
Y1 - 2017/6/1
N2 - Objective To assess the value of contrast-enhanced MRI, apparent diffusion coefficient (ADC) measurement, and CA-125 measurement for differentiating borderline ovarian tumors (BOTs) from stage I malignant epithelial ovarian tumors (MEOTs). Material and methods This retrospective study included 43 patients with BOTs and 43 patients with stage I MEOTs who underwent contrast-enhanced MRI with DWI and CA-125 analysis. Two radiologists evaluated the MRI findings in consensus. Univariate and multivariate analyses were performed to detect the best predictor variables for MEOTs. Results Mixed cystic/solid and predominantly solid appearances, as well as thickened irregular septa, were more frequent in MEOTs. A papillary architecture and internal branching (PA&IB) pattern was more frequent in BOTs. MEOTs had thicker walls and septa, larger solid components, and higher CA-125 values. The mean ADC value of solid components (ADCmean) and minimum ADC value of whole lesions (ADCmin) were lower in MEOTs. Multivariate analysis revealed that ADCmin and maximum diameter of the solid components were independent indicators of MEOTs with an AUC, sensitivity, and specificity of 0.86, 81%, and 84%, respectively. Conclusion ADCmin and maximum diameter of solid components were useful for differentiating BOTs from MEOTs.
AB - Objective To assess the value of contrast-enhanced MRI, apparent diffusion coefficient (ADC) measurement, and CA-125 measurement for differentiating borderline ovarian tumors (BOTs) from stage I malignant epithelial ovarian tumors (MEOTs). Material and methods This retrospective study included 43 patients with BOTs and 43 patients with stage I MEOTs who underwent contrast-enhanced MRI with DWI and CA-125 analysis. Two radiologists evaluated the MRI findings in consensus. Univariate and multivariate analyses were performed to detect the best predictor variables for MEOTs. Results Mixed cystic/solid and predominantly solid appearances, as well as thickened irregular septa, were more frequent in MEOTs. A papillary architecture and internal branching (PA&IB) pattern was more frequent in BOTs. MEOTs had thicker walls and septa, larger solid components, and higher CA-125 values. The mean ADC value of solid components (ADCmean) and minimum ADC value of whole lesions (ADCmin) were lower in MEOTs. Multivariate analysis revealed that ADCmin and maximum diameter of the solid components were independent indicators of MEOTs with an AUC, sensitivity, and specificity of 0.86, 81%, and 84%, respectively. Conclusion ADCmin and maximum diameter of solid components were useful for differentiating BOTs from MEOTs.
KW - Apparent diffusion coefficient value
KW - Borderline ovarian tumor
KW - Differential diagnosis
KW - Magnetic resonance imaging
KW - Malignant epithelial ovarian tumor
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U2 - 10.1016/j.ejrad.2017.04.001
DO - 10.1016/j.ejrad.2017.04.001
M3 - Article
C2 - 28629557
AN - SCOPUS:85017429404
SN - 0720-048X
VL - 91
SP - 116
EP - 123
JO - European Journal of Radiology
JF - European Journal of Radiology
ER -