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

被引：29

作者：

Denewar, Fatmaelzahraa Abdelfattah ^{[1
,2
]}

Takeuchi, Mitsuru ^{[1
,2
,8
]}

Urano, Misugi ^{[1
,2
]}

Kamishima, Yuki ^{[3
]}

Kawai, Tatsuya ^{[1
,2
,9
]}

Takahashi, Naoki ^{[4
]}

Takeuchi, Moe ^{[5
]}

Kobayashi, Susumu ^{[6
]}

Honda, Junichi ^{[7
]}

Shibamoto, Yuta ^{[1
,2
]}

机构：

[1] Nagoya City Univ, Dept Radiol, Grad Sch Med Sci, Mizuho Ku, 1 Kawasumi,Mizuho Cho, Nagoya, Aichi 4678601, Japan

[2] Nagoya City Univ, Sch Med, Mizuho Ku, 1 Kawasumi,Mizuho Cho, Nagoya, Aichi 4678601, Japan

[3] Nagoya City West Med Ctr, Kita Ku, 1-1-1 Hirade Cho, Nagoya, Aichi 4628508, Japan

[4] Mayo Clin, Dept Radiol, 200 First St SW, Rochester, MN 55905 USA

[5] Nagoya City East Med Ctr, Chikusa Ku, 1-2-23 Wakamizu, Nagoya, Aichi 4640071, Japan

[6] Toyokawa City Hosp, 23 Noji,Yawata Cho, Toyokawa City, Aichi 4420857, Japan

[7] Kariya Toyota Gen Hosp, 5-15 Sumiyoshi Cho, Kariya, Aichi 4488505, Japan

[8] Radiolonet Tokai, Dept Radiol, Chikusa Ku, 3-86-2 Asaoka Cho, Nagoya, Aichi 4640811, Japan

[9] NCI, Radiat Oncol Branch, Ctr Canc Res, Bldg 10,Room B3B100, Bethesda, MD 20892 USA

来源：

EUROPEAN JOURNAL OF RADIOLOGY | 2017年 / 91卷

关键词：

Malignant epithelial ovarian tumor; Borderline ovarian tumor; Differential diagnosis; Magnetic resonance imaging; Apparent diffusion coefficient value; PATHOLOGICAL CORRELATION; APPEARANCES; FEATURES; US; CT;

D O I：

10.1016/j.ejrad.2017.04.001

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

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.

引用

页码：116 / 123

页数：8

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