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

Denewar Fatmaelzahraa Abdelfattah; Takeuchi Mitsuru; Urano Misugi; Kamishima Yuki; Kawai Tatsuya; Takahashi Naoki; Takeuchi Moe; Kobayashi Susumu; Honda Junichi; Shibamoto Yuta

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

机译：多元逻辑卵巢肿瘤从阶段卵巢肿瘤分化的多因素MRI使用多变量逻辑回归分析

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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).

机译：目的：评估对比度增强的MRI，表观扩散系数（ADC）测量的值，以及分化阶段卵巢上皮卵巢肿瘤（MEOTS）的邻近卵巢肿瘤（机器人）的CA-125测量。

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来源
《European Journal of Radiology》 |2017年第2017期|共8页
作者
Denewar Fatmaelzahraa Abdelfattah; Takeuchi Mitsuru; Urano Misugi; Kamishima Yuki; Kawai Tatsuya; Takahashi Naoki; Takeuchi Moe; Kobayashi Susumu; Honda Junichi; Shibamoto Yuta;
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作者单位

Nagoya City Univ Dept Radiol Grad Sch Med Sci Mizuho Ku 1 Kawasumi Mizuho Cho Nagoya Aichi;

Nagoya City Univ Dept Radiol Grad Sch Med Sci Mizuho Ku 1 Kawasumi Mizuho Cho Nagoya Aichi;

Nagoya City Univ Dept Radiol Grad Sch Med Sci Mizuho Ku 1 Kawasumi Mizuho Cho Nagoya Aichi;

Nagoya City West Med Ctr Kita Ku 1-1-1 Hirade Cho Nagoya Aichi 4628508 Japan;

Nagoya City Univ Dept Radiol Grad Sch Med Sci Mizuho Ku 1 Kawasumi Mizuho Cho Nagoya Aichi;

Mayo Clin Dept Radiol 200 First St SW Rochester MN 55905 USA;

Nagoya City East Med Ctr Chikusa Ku 1-2-23 Wakamizu Nagoya Aichi 4640071 Japan;

Toyokawa City Hosp 23 Noji Yawata Cho Toyokawa City Aichi 4420857 Japan;

Kariya Toyota Gen Hosp 5-15 Sumiyoshi Cho Kariya Aichi 4488505 Japan;

Nagoya City Univ Dept Radiol Grad Sch Med Sci Mizuho Ku 1 Kawasumi Mizuho Cho Nagoya Aichi;

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原文格式 PDF
正文语种 eng
中图分类放射医学;
关键词
Malignant epithelial ovarian tumor; Borderline ovarian tumor; Differential diagnosis; Magnetic resonance imaging; Apparent diffusion coefficient value;

机译：恶性上皮卵巢肿瘤;边缘线卵巢肿瘤;鉴别诊断;磁共振成像;表观扩散系数值;

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专利

1. Multiparametric MRI for differentiation of borderline ovarian tumors from stage I malignant epithelial ovarian tumors using multivariate logistic regression analysis [J] . Denewar Fatmaelzahraa Abdelfattah, Takeuchi Mitsuru, Urano Misugi, European Journal of Radiology . 2017,第期

机译：多元逻辑卵巢肿瘤从阶段卵巢肿瘤分化的多因素MRI使用多变量逻辑回归分析
2. Differentiating between borderline and invasive malignancies in ovarian tumors using a multivariate logistic regression model [J] . Jiabin Chen, Chung Chang, Hung-Chi Huang, Taiwanese journal of obstetrics and gynecology . 2015,第4期

机译：使用多元逻辑回归模型区分卵巢肿瘤的边缘性和浸润性恶性肿瘤
3. The serum CA-125 concentration data assists in evaluating CT imaging information when used to differentiate borderline ovarian tumor from malignant epithelial ovarian tumors. [J] . Shin JE, Choi HJ, Kim MH, Korean journal of radiology: official journal of the Korean Radiological Society . 2011,第4期

机译：当将CA-125血清浓度数据用于区分边缘性卵巢肿瘤与恶性上皮性卵巢肿瘤时，有助于评估CT成像信息。
4. The Comparison of Glycosphingolipids in an Epithelial Ovarian Cancer Cell Line and a Nontumorigenic Epithelial Ovarian Cell Line using MALDI-MS [C] . Krishani K. Rajanayake, William R. Taylor, Dragan Isailovic ASMS Conference on Mass Spectrometry and Allied Topics . 2016

机译：使用MALDI-MS对上皮性卵巢癌细胞系中糖磷脂和非致素上皮性卵巢细胞系的比较
5. Epigenetics of tandem DNA repeats in FSH muscular dystrophy, the DNMT3B-deficient ICF syndrome, and ovarian epithelial tumors. [D] . Shao, Chunbo. 2007

机译：串联DNA的表观遗传学在FSH肌肉营养不良，DNMT3B缺陷型ICF综合征和卵巢上皮肿瘤中重复出现。
6. Texture Analysis of Three-Dimensional MRI Images May Differentiate Borderline and Malignant Epithelial Ovarian Tumors [O] . Rongping Ye, Shuping Weng, Yueming Li, 2021

机译：三维MRI图像的纹理分析可以区分边缘线和恶性上皮卵巢肿瘤
7. Differentiating between borderline and invasive malignancies in ovarian tumors using a multivariate logistic regression model [O] . Jiabin Chen, Chung Chang, Hung-Chi Huang, 2015

机译：使用多变量逻辑回归模型区分卵巢肿瘤中的边缘和侵袭性恶性肿瘤

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

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