• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用多变量逻辑回归分析的多参数MRI用于鉴别卵巢交界性肿瘤与Ⅰ期恶性上皮性卵巢肿瘤

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

作者信息

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

机构信息

Department of Radiology, Nagoya City University Graduate School of Medical Sciences and Medical School, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya City, Aichi 467-8601, Japan.

Nagoya City West Medical Center, 1-1-1 Hirade-cho, Kita-ku, Nagoya City, Aichi 462-8508, Japan.

出版信息

Eur J Radiol. 2017 Jun;91:116-123. doi: 10.1016/j.ejrad.2017.04.001. Epub 2017 Apr 6.

DOI:10.1016/j.ejrad.2017.04.001
PMID:28629557
Abstract

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 (ADC) and minimum ADC value of whole lesions (ADC) were lower in MEOTs. Multivariate analysis revealed that ADC 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

ADC and maximum diameter of solid components were useful for differentiating BOTs from MEOTs.

摘要

目的

评估对比增强磁共振成像(MRI)、表观扩散系数(ADC)测量及糖类抗原125(CA-125)测量在鉴别卵巢交界性肿瘤(BOT)与Ⅰ期恶性上皮性卵巢肿瘤(MEOT)中的价值。

材料与方法

本回顾性研究纳入了43例BOT患者和43例Ⅰ期MEOT患者,这些患者均接受了同时进行扩散加权成像(DWI)的对比增强MRI检查及CA-125分析。两名放射科医生共同评估MRI表现。进行单因素和多因素分析以检测MEOT的最佳预测变量。

结果

MEOT中混合性囊实性和以实性为主的表现以及不规则增厚的分隔更为常见。BOT中乳头状结构和内部分支(PA&IB)模式更为常见。MEOT的壁和分隔更厚,实性成分更大,CA-125值更高。MEOT中实性成分的平均ADC值(ADC)和整个病变的最小ADC值(ADC)更低。多因素分析显示,ADC和实性成分的最大直径是MEOT的独立指标,曲线下面积(AUC)、敏感性和特异性分别为0.86、81%和84%。

结论

ADC和实性成分的最大直径有助于鉴别BOT与MEOT。

相似文献

1
Multiparametric MRI for differentiation of borderline ovarian tumors from stage I malignant epithelial ovarian tumors using multivariate logistic regression analysis.使用多变量逻辑回归分析的多参数MRI用于鉴别卵巢交界性肿瘤与Ⅰ期恶性上皮性卵巢肿瘤
Eur J Radiol. 2017 Jun;91:116-123. doi: 10.1016/j.ejrad.2017.04.001. Epub 2017 Apr 6.
2
Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors.MRI 特征的定量分析在良性、交界性和恶性上皮性卵巢肿瘤鉴别中的应用。
J Ovarian Res. 2022 Jan 22;15(1):13. doi: 10.1186/s13048-021-00920-y.
3
Diffusion kurtosis imaging for differentiating borderline from malignant epithelial ovarian tumors: A correlation with Ki-67 expression.扩散峰度成像鉴别交界性与恶性上皮性卵巢肿瘤:与 Ki-67 表达的相关性。
J Magn Reson Imaging. 2017 Nov;46(5):1499-1506. doi: 10.1002/jmri.25696. Epub 2017 Mar 10.
4
Value of normalized apparent diffusion coefficients in differentiating between borderline and malignant epithelial ovarian tumors.标准化表观扩散系数在鉴别交界性和恶性上皮性卵巢肿瘤中的价值。
Eur J Radiol. 2019 Sep;118:44-50. doi: 10.1016/j.ejrad.2019.06.020. Epub 2019 Jun 26.
5
The serum CA-125 concentration data assists in evaluating CT imaging information when used to differentiate borderline ovarian tumor from malignant epithelial ovarian tumors.血清 CA-125 浓度数据有助于评估 CT 成像信息,可用于区分交界性卵巢肿瘤和恶性上皮性卵巢肿瘤。
Korean J Radiol. 2011 Jul-Aug;12(4):456-62. doi: 10.3348/kjr.2011.12.4.456. Epub 2011 Jul 22.
6
Computed Tomography Indicators for Differentiating Stage 1 Borderline Ovarian Tumors from Stage I Malignant Epithelial Ovarian Tumors.计算机断层扫描在鉴别Ⅰ期交界性卵巢肿瘤与Ⅰ期恶性上皮性卵巢肿瘤中的指标
Diagnostics (Basel). 2023 Jan 28;13(3):480. doi: 10.3390/diagnostics13030480.
7
Diffusion-weighted MR imaging for differentiating borderline from malignant epithelial tumours of the ovary: pathological correlation.磁共振扩散加权成像用于鉴别卵巢交界性与恶性上皮性肿瘤:病理对照
Eur Radiol. 2014 Sep;24(9):2292-9. doi: 10.1007/s00330-014-3236-4. Epub 2014 May 29.
8
MRI features and score for differentiating borderline from malignant epithelial ovarian tumors.MRI 特征和评分在鉴别交界性和恶性上皮性卵巢肿瘤中的作用。
Eur J Radiol. 2018 Jan;98:136-142. doi: 10.1016/j.ejrad.2017.11.014. Epub 2017 Nov 22.
9
The enhanced T star weighted angiography (ESWAN) value for differentiating borderline from malignant epithelial ovarian tumors.增强 T 加权血管造影(ESWAN)值在鉴别交界性与恶性上皮性卵巢肿瘤中的作用。
Eur J Radiol. 2019 Sep;118:187-193. doi: 10.1016/j.ejrad.2019.07.011. Epub 2019 Jul 13.
10
Texture Analysis of Three-Dimensional MRI Images May Differentiate Borderline and Malignant Epithelial Ovarian Tumors.三维 MRI 图像纹理分析可区分交界性和恶性上皮性卵巢肿瘤。
Korean J Radiol. 2021 Jan;22(1):106-117. doi: 10.3348/kjr.2020.0121. Epub 2020 Sep 10.

引用本文的文献

1
Radiomics nomogram for preoperative differentiation of early-stage serous borderline ovarian tumors and serous malignant ovarian tumors.用于早期浆液性交界性卵巢肿瘤和浆液性恶性卵巢肿瘤术前鉴别的影像组学列线图。
Front Oncol. 2024 Jan 15;13:1269589. doi: 10.3389/fonc.2023.1269589. eCollection 2023.
2
Diagnostic efficacy of combining diffusion-weighted magnetic resonance imaging with serum Mucin 1, Mucin 13, and Mucin 16 in distinguishing borderline from malignant epithelial ovarian tumors.扩散加权磁共振成像联合血清黏蛋白1、黏蛋白13和黏蛋白16在鉴别卵巢交界性上皮性肿瘤与恶性上皮性肿瘤中的诊断效能
Asia Pac J Clin Oncol. 2025 Feb;21(1):115-122. doi: 10.1111/ajco.14045. Epub 2024 Jan 14.
3
Role of magnetic resonance imaging to differentiate between borderline and malignant serous epithelial ovarian tumors.
磁共振成像在鉴别交界性和恶性浆液性上皮性卵巢肿瘤中的作用。
Abdom Radiol (NY). 2024 Jan;49(1):229-236. doi: 10.1007/s00261-023-04076-9. Epub 2023 Oct 20.
4
Computed Tomography Indicators for Differentiating Stage 1 Borderline Ovarian Tumors from Stage I Malignant Epithelial Ovarian Tumors.计算机断层扫描在鉴别Ⅰ期交界性卵巢肿瘤与Ⅰ期恶性上皮性卵巢肿瘤中的指标
Diagnostics (Basel). 2023 Jan 28;13(3):480. doi: 10.3390/diagnostics13030480.
5
Management of borderline ovarian tumors: A tertiary referral center experience in Egypt.交界性卵巢肿瘤的管理:埃及一家三级转诊中心的经验
Front Surg. 2022 Sep 2;9:962820. doi: 10.3389/fsurg.2022.962820. eCollection 2022.
6
Two-dimensional and three-dimensional T2 weighted imaging-based radiomic signatures for the preoperative discrimination of ovarian borderline tumors and malignant tumors.基于二维和三维 T2 加权成像的放射组学特征可用于术前鉴别卵巢交界性肿瘤和恶性肿瘤。
J Ovarian Res. 2022 Feb 3;15(1):22. doi: 10.1186/s13048-022-00943-z.
7
Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors.MRI 特征的定量分析在良性、交界性和恶性上皮性卵巢肿瘤鉴别中的应用。
J Ovarian Res. 2022 Jan 22;15(1):13. doi: 10.1186/s13048-021-00920-y.
8
Serous Borderline Ovarian Tumor Diagnosis, Management and Fertility Preservation in Young Women.浆液性卵巢交界性肿瘤:年轻女性的诊断、管理与生育力保护
J Clin Med. 2021 Sep 18;10(18):4233. doi: 10.3390/jcm10184233.
9
MDCT-Based Radiomics Features for the Differentiation of Serous Borderline Ovarian Tumors and Serous Malignant Ovarian Tumors.基于多层螺旋CT的影像组学特征用于鉴别浆液性交界性卵巢肿瘤和浆液性恶性卵巢肿瘤
Cancer Manag Res. 2021 Jan 12;13:329-336. doi: 10.2147/CMAR.S284220. eCollection 2021.
10
Texture Analysis of Three-Dimensional MRI Images May Differentiate Borderline and Malignant Epithelial Ovarian Tumors.三维 MRI 图像纹理分析可区分交界性和恶性上皮性卵巢肿瘤。
Korean J Radiol. 2021 Jan;22(1):106-117. doi: 10.3348/kjr.2020.0121. Epub 2020 Sep 10.