• 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

基于 ADNEX 模型的 MRI 图像卵巢癌诊断

ADNEX Model-Based Diagnosis of Ovarian Cancer Using MRI Images.

机构信息

Department of Radiology, Kunming Yan'an Hospital, Kunming 650051, China.

Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610031, China.

出版信息

Contrast Media Mol Imaging. 2021 Aug 18;2021:2146578. doi: 10.1155/2021/2146578. eCollection 2021.

DOI:10.1155/2021/2146578
PMID:34497480
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8387196/
Abstract

This exploration aims to investigate the important role of magnetic resonance imaging (MRI) in the diagnosis of ovarian cancer under the ADNEX. From March 2017 to December 2019, 84 patients with ovarian cancer confirmed by pathological operation were selected as the research objects. The consistency of ADNEX, MRI, and ADNEXMRI in the diagnosis and staging of ovarian cancer was calculated separately. SPSS 26.0 statistical software was used to compare the accuracy, sensitivity, specificity, and diagnostic value of the two diagnostic methods. The results show that the accuracy and sensitivity of ADNEX are 78.6% and 93.2%, respectively. The accuracy and sensitivity of MRI are 81.2% and 89.4%, respectively. There is no significant difference between the two methods ( < 0.05). The overall consistency rates of ADNEXMRI, MRI diagnosis, and ADNEX for ovarian cancer staging are 94.2%, 74%, and 65.4%, respectively. There was a significant difference ( < 0.05). ADNEXMRI and MRI diagnosis were compared with each stage of ADNEX. There is a significant difference between the second and fourth stages ( < 0.05), and there is also a significant difference in the fourth stage ( < 0.017). It is concluded that MRI diagnosis of ovarian cancer based on ADNEX is superior to ADNEX and MRI examination alone, which provides a certain reference value for clinical staging of ovarian cancer.

摘要

本研究旨在探讨 ADNEX 下磁共振成像(MRI)在卵巢癌诊断中的重要作用。2017 年 3 月至 2019 年 12 月,选取经病理手术证实的卵巢癌患者 84 例作为研究对象,分别计算 ADNEX、MRI、ADNEXMRI 在卵巢癌诊断和分期中的一致性。采用 SPSS 26.0 统计软件比较两种诊断方法的准确性、敏感度、特异度和诊断价值。结果显示,ADNEX 的准确率和敏感度分别为 78.6%和 93.2%,MRI 的准确率和敏感度分别为 81.2%和 89.4%,两种方法比较差异无统计学意义(>0.05)。ADNEXMRI、MRI 诊断与 ADNEX 对卵巢癌分期的总体一致性率分别为 94.2%、74%和 65.4%,差异有统计学意义(<0.05)。ADNEXMRI 与 MRI 诊断与 ADNEX 各分期比较,二、四期比较差异有统计学意义(<0.05),四期与其他各期比较差异均有统计学意义(<0.017)。结论:基于 ADNEX 的 MRI 诊断卵巢癌优于 ADNEX 与 MRI 单独检查,为卵巢癌的临床分期提供了一定的参考价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/c5112cbde4af/CMMI2021-2146578.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/efc9c93a7e7b/CMMI2021-2146578.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/c60b6c74cec6/CMMI2021-2146578.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/eab2b1d27929/CMMI2021-2146578.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/8f9ccff7859e/CMMI2021-2146578.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/9b14ca40dfc6/CMMI2021-2146578.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/20106c7cc6d8/CMMI2021-2146578.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/c5112cbde4af/CMMI2021-2146578.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/efc9c93a7e7b/CMMI2021-2146578.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/c60b6c74cec6/CMMI2021-2146578.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/eab2b1d27929/CMMI2021-2146578.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/8f9ccff7859e/CMMI2021-2146578.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/9b14ca40dfc6/CMMI2021-2146578.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/20106c7cc6d8/CMMI2021-2146578.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/c5112cbde4af/CMMI2021-2146578.007.jpg

相似文献

1
ADNEX Model-Based Diagnosis of Ovarian Cancer Using MRI Images.基于 ADNEX 模型的 MRI 图像卵巢癌诊断
Contrast Media Mol Imaging. 2021 Aug 18;2021:2146578. doi: 10.1155/2021/2146578. eCollection 2021.
2
Performance of IOTA ADNEX model in evaluating adnexal masses in a gynecological oncology center in China.IOTA ADNEX 模型在中国妇科肿瘤中心评估附件肿块的性能。
Ultrasound Obstet Gynecol. 2019 Dec;54(6):815-822. doi: 10.1002/uog.20363. Epub 2019 Nov 11.
3
External validation of the MR imaging scoring system for the management of adnexal masses.用于附件包块管理的磁共振成像评分系统的外部验证
Eur J Obstet Gynecol Reprod Biol. 2016 Oct;205:115-9. doi: 10.1016/j.ejogrb.2016.07.493. Epub 2016 Aug 24.
4
Diagnostic Accuracies of the Ultrasound and Magnetic Resonance Imaging ADNEX Scoring Systems For Ovarian Adnexal Mass: Systematic Review and Meta-Analysis.超声和磁共振成像ADNEX评分系统对卵巢附件包块的诊断准确性:系统评价与Meta分析
Acad Radiol. 2022 Jun;29(6):897-908. doi: 10.1016/j.acra.2021.05.029. Epub 2021 Jun 30.
5
Estimating risk of malignancy in adnexal masses: external validation of the ADNEX model and comparison with other frequently used ultrasound methods.附件包块恶性风险评估:ADNEX模型的外部验证及与其他常用超声方法的比较
Ultrasound Obstet Gynecol. 2017 Jun;49(6):784-792. doi: 10.1002/uog.17225.
6
Subjective ultrasound assessment, the ADNEX model and ultrasound-guided tru-cut biopsy to differentiate disseminated primary ovarian cancer from metastatic non-ovarian cancer.主观超声评估、ADNEX模型及超声引导下粗针活检用于鉴别原发性播散性卵巢癌与转移性非卵巢癌。
Ultrasound Obstet Gynecol. 2016 Jan;47(1):110-6. doi: 10.1002/uog.14892.
7
Evaluation of the Diagnostic Value of the Ultrasound ADNEX Model for Benign and Malignant Ovarian Tumors.超声附件模型对卵巢良恶性肿瘤的诊断价值评估
Int J Gen Med. 2021 Sep 16;14:5665-5673. doi: 10.2147/IJGM.S328010. eCollection 2021.
8
Reliability of IOTA score and ADNEX model in the screening of ovarian malignancy in postmenopausal women.IOTA评分和ADNEX模型在绝经后女性卵巢恶性肿瘤筛查中的可靠性。
J Gynecol Obstet Hum Reprod. 2019 Feb;48(2):103-107. doi: 10.1016/j.jogoh.2018.04.012. Epub 2018 Apr 28.
9
Performance of the IOTA ADNEX model combined with HE4 for identifying early-stage ovarian cancer.IOTA ADNEX模型联合HE4用于识别早期卵巢癌的性能。
Front Oncol. 2022 Sep 16;12:949766. doi: 10.3389/fonc.2022.949766. eCollection 2022.
10
Performance of the IOTA ADNEX model in preoperative discrimination of adnexal masses in a gynecological oncology center.IOTA ADNEX模型在妇科肿瘤中心术前鉴别附件包块中的表现
Ultrasound Obstet Gynecol. 2017 Jun;49(6):778-783. doi: 10.1002/uog.15963. Epub 2017 Apr 12.

引用本文的文献

1
ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies.用于诊断卵巢癌的ADNEX风险预测模型:外部验证研究的系统评价和荟萃分析
BMJ Med. 2024 Feb 17;3(1):e000817. doi: 10.1136/bmjmed-2023-000817. eCollection 2024.
2
Manifestations of Ovarian Cancer in Relation to Other Pelvic Diseases by MRI.MRI 显示的卵巢癌与其他盆腔疾病的关系
Cancers (Basel). 2023 Mar 31;15(7):2106. doi: 10.3390/cancers15072106.

本文引用的文献

1
Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study.磁共振成像放射组学在卵巢肿块分类和预测临床结局中的应用:一项初步研究。
Eur Radiol. 2019 Jul;29(7):3358-3371. doi: 10.1007/s00330-019-06124-9. Epub 2019 Apr 8.
2
Utilization of breast cancer screening with magnetic resonance imaging in community practice.社区实践中应用磁共振成像进行乳腺癌筛查。
J Gen Intern Med. 2018 Mar;33(3):275-283. doi: 10.1007/s11606-017-4224-6. Epub 2017 Dec 6.
3
Systematic Review on the Accuracy of Positron Emission Tomography/Computed Tomography and Positron Emission Tomography/Magnetic Resonance Imaging in the Management of Ovarian Cancer: Is Functional Information Really Needed?
正电子发射断层扫描/计算机断层扫描与正电子发射断层扫描/磁共振成像在卵巢癌管理中的准确性系统评价:功能信息真的有必要吗?
World J Nucl Med. 2017 Jul-Sep;16(3):176-185. doi: 10.4103/wjnm.WJNM_31_17.
4
Synthesis of Lipophilic Core-Shell FeO@SiO@Au Nanoparticles and Polymeric Entrapment into Nanomicelles: A Novel Nanosystem for in Vivo Active Targeting and Magnetic Resonance-Photoacoustic Dual Imaging.亲脂性核壳结构FeO@SiO@Au纳米粒子的合成及其聚合物包裹形成纳米胶束:一种用于体内主动靶向和磁共振-光声双成像的新型纳米系统。
Bioconjug Chem. 2017 May 17;28(5):1382-1390. doi: 10.1021/acs.bioconjchem.7b00076. Epub 2017 May 3.
5
Polyvalent Folate-Dendrimer-Coated Iron Oxide Theranostic Nanoparticles for Simultaneous Magnetic Resonance Imaging and Precise Cancer Cell Targeting.用于同时进行磁共振成像和精确癌细胞靶向的多价叶酸-树枝状聚合物包覆氧化铁诊疗纳米颗粒。
Biomacromolecules. 2017 Apr 10;18(4):1197-1209. doi: 10.1021/acs.biomac.6b01885. Epub 2017 Mar 9.
6
Diagnostic performance of computed tomography and magnetic resonance imaging for detecting peritoneal metastases: systematic review and meta-analysis.计算机断层扫描和磁共振成像检测腹膜转移瘤的诊断性能:系统评价和荟萃分析。
Radiol Med. 2017 Jan;122(1):1-15. doi: 10.1007/s11547-016-0682-x. Epub 2016 Sep 19.
7
[Before surgery predictability of malignant ovarian tumors based on ADNEX model and its use in clinical practice].[基于ADNEX模型的卵巢恶性肿瘤术前预测性及其在临床实践中的应用]
Gynecol Obstet Fertil. 2016 Oct;44(10):557-564. doi: 10.1016/j.gyobfe.2016.07.007. Epub 2016 Aug 24.
8
In vivo Magnetic Resonance Metabolic and Morphofunctional Fingerprints in Experimental Models of Human Ovarian Cancer.人卵巢癌实验模型中的体内磁共振代谢与形态功能指纹图谱
Front Oncol. 2016 Jun 28;6:164. doi: 10.3389/fonc.2016.00164. eCollection 2016.
9
A prospective study evaluating diffusion weighted magnetic resonance imaging (DW-MRI) in the detection of peritoneal carcinomatosis in suspected gynecologic malignancies.一项前瞻性研究,评估弥散加权磁共振成像(DW-MRI)在疑似妇科恶性肿瘤腹膜转移瘤检测中的应用。
Gynecol Oncol. 2016 Jul;142(1):169-175. doi: 10.1016/j.ygyno.2016.04.018. Epub 2016 Apr 28.
10
Nanoscale Metal-Organic Particles with Rapid Clearance for Magnetic Resonance Imaging-Guided Photothermal Therapy.用于磁共振成像引导光热治疗的具有快速清除特性的纳米级金属有机颗粒
ACS Nano. 2016 Feb 23;10(2):2774-81. doi: 10.1021/acsnano.5b07882. Epub 2016 Jan 27.