Multiparametric MRI for differentiation of borderline ovarian tumors from stage I malignant epithelial ovarian tumors using multivariate logistic regression analysis

• Published in: European journal of radiology Vol. 91; pp. 116 - 123
• Main Authors: Denewar, Fatmaelzahraa Abdelfattah, Takeuchi, Mitsuru, Urano, Misugi, Kamishima, Yuki, Kawai, Tatsuya, Takahashi, Naoki, Takeuchi, Moe, Kobayashi, Susumu, Honda, Junichi, Shibamoto, Yuta
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier B.V 01.06.2017
• Subjects: Apparent diffusion coefficient value; Borderline ovarian tumor; Diagnosis, Differential; Differential diagnosis; Female; Humans; Logistic Models; Magnetic resonance imaging; Magnetic Resonance Imaging - mortality; Malignant epithelial ovarian tumor; Ovarian Neoplasms - diagnosis; Ovarian Neoplasms - pathology; Radiology; Retrospective Studies; Sensitivity and Specificity; ADC; Borderline ovarian tumors; T1WI; malignant epithelial ovarian tumors; MEOTs; ADC min; AUC; apparent diffusion coefficient; T2WI; DWI; Differential diagnosis; the mean ADC value of the solid component; Malignant epithelial ovarian tumor; Borderline ovarian tumor; T2-weighted images; WHO; the minimum ADC value of the whole lesion; ROIs; World Health Organization; regions of interest; ROC; cancer antigen 125; PA&IB; area under the curve; papillary architecture and internal branching; BOTs; T1-weighted images; Magnetic resonance imaging; Receiver operating characteristic; diffusion-weighted imaging; CA-125; Apparent diffusion coefficient value; ADC mean; ADCmean; ADCmin
• ISSN: 0720-048X; 1872-7727
• DOI: 10.1016/j.ejrad.2017.04.001

Highlights • ADCmin and maximum diameter of solid component are significant on multivariate analysis. • PA&IB are more commonly observed in BOT. • Mixed solid/cystic appearance and thickened irregular septa are more frequent in MEOT. • Solid components are more frequent and larger in MEOT.