留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码
x

单指数、双指数及拉伸指数模型扩散加权成像在卵巢肿瘤及子宫内膜癌中的应用进展

刘艳美,  王倩倩,  侯聪,  杨慧敏,  姜兴岳,  刘新疆

downloadPDF
文章导航 > 分子影像学杂志  > 2021 >  44(6): 1024-1028
刘艳美, 王倩倩, 侯聪, 杨慧敏, 姜兴岳, 刘新疆. 单指数、双指数及拉伸指数模型扩散加权成像在卵巢肿瘤及子宫内膜癌中的应用进展[J]. 分子影像学杂志, 2021, 44(6): 1024-1028. doi: 10.12122/j.issn.1674-4500.2021.06.28
引用本文: 刘艳美, 王倩倩, 侯聪, 杨慧敏, 姜兴岳, 刘新疆. 单指数、双指数及拉伸指数模型扩散加权成像在卵巢肿瘤及子宫内膜癌中的应用进展[J]. 分子影像学杂志, 2021, 44(6): 1024-1028. doi: 10.12122/j.issn.1674-4500.2021.06.28
shu
LIU Yanmei, WANG Qianqian, HOU Cong, YANG Huimin, JIANG Xingyue, LIU Xinjiang. Application of diffusion weighted imaging with monoexponential, biexponential and tensile exponential models in ovarian tumors and endometrial cancer[J]. Journal of Molecular Imaging, 2021, 44(6): 1024-1028. doi: 10.12122/j.issn.1674-4500.2021.06.28
Citation: LIU Yanmei, WANG Qianqian, HOU Cong, YANG Huimin, JIANG Xingyue, LIU Xinjiang. Application of diffusion weighted imaging with monoexponential, biexponential and tensile exponential models in ovarian tumors and endometrial cancer[J]. Journal of Molecular Imaging, 2021, 44(6): 1024-1028. doi: 10.12122/j.issn.1674-4500.2021.06.28
shu

单指数、双指数及拉伸指数模型扩散加权成像在卵巢肿瘤及子宫内膜癌中的应用进展

doi: 10.12122/j.issn.1674-4500.2021.06.28
  • 1.

    滨州医学院附属医院放射科，山东 滨州 256603

  • 2.

    上海市浦东医院（复旦大学附属浦东医院）放射科，上海 201399

基金项目: 

山东省自然科学项目基金 ZR2016HL43

详细信息
    作者简介:

    刘艳美，在读硕士研究生，E-mail: 1185768636@qq.com

    通讯作者:

    刘新疆，博士，主任医师，E-mail: lxj6513@163.com

Application of diffusion weighted imaging with monoexponential, biexponential and tensile exponential models in ovarian tumors and endometrial cancer

  • 1.

    Department of Radiology, Affiliated Hospital of Binzhou Medical University, Binzhou 256603, China

  • 2.

    Department of Radiology, Shanghai Pudong Hospital (Fudan University Pudong Medical Center), Shanghai 201399, China

    摘要
  • 摘要: 卵巢肿瘤和子宫内膜癌严重威胁女性健康甚至危及生命, 随着医疗技术水平和健康意识的不断提高, 卵巢肿瘤和子宫内膜癌的发病率亦逐年增加, 早发现、早诊断、早治疗已成为规范应对两者的原则。超声检查和诊刮术分别为卵巢肿瘤和子宫内膜癌的主要筛查方式, 但误诊率、漏诊率较高。磁共振扩散加权成像技术及其衍生模型以兼具高分辨率、无创性、多方位成像的优势越来越多的应用到卵巢肿瘤和子宫内膜癌的诊断中。本篇文章对不同弥散模型在卵巢肿瘤及子宫内膜癌中的应用进展予以综述, 以期获得不同弥散模型对卵巢及子宫内膜肿瘤的诊断价值。

     

    Abstract: Ovarian tumors and endometrial cancer are seriously threaten women's health and even life-threatening.With the continuous improvement of medical technology and health awareness, the incidence of ovarian tumors and endometrial cancer are also increasing.Early detection, early diagnosis and early treatment have become the principles to standardize the response to both.Ultrasonography and curettage are the main screening methods for ovarian tumors and endometrial cancer, respectively.The rate of misdiagnosis and missed diagnosis are high.Magnetic resonance diffusion-weighted imaging and its derivative techniques are increasingly used in the diagnosis of ovarian tumors and endometrial cancer because of their advantages of both high-resolution, seminal, and multi-directional imaging.This article reviews the application of different diffusion models in ovarian tumors and endometrial cancer, in order to obtain the diagnostic value of different diffusion models for ovarian and endometrial tumors.

     

    • HTML全文
    • 参考文献(38)
  • [1] Imaoka I, Wada A, Kaji Y, et al. Developing an MR imaging strategy for diagnosis of ovarian masses[J]. Radiographics, 2006, 26(5): 1431-48. doi: 10.1148/rg.265045206
    [2] 朱彦贺, 祁晓莉, 王春艳, 等. 卵巢肿瘤1332例临床病理分析[J]. 诊断病理学杂志, 2016, 23(1): 62-4. doi: 10.3969/j.issn.1007-8096.2016.01.016
    [3] Siegel R, Ward E, Brawley O, et al. Cancer statistics, 2011: the impact of eliminating socioeconomic and racial disparities on premature cancer deaths[J]. CA A Cancer J Clin, 2011, 61(4): 212-36. doi: 10.3322/caac.20121
    [4] Bast RC Jr, Klug TL, John ES, et al. A radioimmunoassay using a monoclonal antibody to monitor the course of epithelial ovarian cance[J]. N Engl J Med, 1983, 309(15): 883-7. doi: 10.1056/NEJM198310133091503
    [5] Le Bihan D, Breton E, Lallemand D, et al. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorder[J]. Radiology, 1986, 161(2): 401-7. doi: 10.1148/radiology.161.2.3763909
    [6] 肖友平, 陈韵彬, 潘建基, 等. 体素内不相干运动扩散加权成像技术在鼻咽肿瘤的可重复性和诊断应用[J]. 中国医学影像技术, 2015, 31 (12): 1801-5.
    [7] 张天月, 汪登斌, 王丽君, 等. IVIM磁共振成像对乳腺非肿块强化病变的诊断价值[J]. 放射学实践, 2017, 32(3): 242-7. https://www.cnki.com.cn/Article/CJFDTOTAL-FSXS201703009.htm
    [8] Woo S, Lee JM, Yoon JH, et al. Intravoxel incoherent motion diffusion-weighted MR imaging of hepatocellular carcinoma: correlation with enhancement degree and histologic grade[J]. Radiology, 2014, 270(3): 758-67. doi: 10.1148/radiol.13130444
    [9] 程楠, 吕星海, 任克, 等. IVIM-DWI多模型参数分析对宫颈癌的诊断价值[J]. 放射学实践, 2017, 32(2): 157-61. https://www.cnki.com.cn/Article/CJFDTOTAL-FSXS201702013.htm
    [10] Valerio M, Zini C, de Fierro D, et al. 3T multiparametric MRI of the prostate: Does intravoxel incoherent motion diffusion imaging have a role in the detection and stratification of prostate cancer in the peripheral zone?[J]. Eur J Radiol, 2016, 85(4): 790-4. doi: 10.1016/j.ejrad.2016.01.006
    [11] 李海明, 赵书会, 强金伟, 等. 多b值DWI鉴别诊断交界性与恶性上皮性卵巢肿瘤[J]. 中国医学影像技术, 2018, 34(7): 1050-4. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYXX201807032.htm
    [12] Bennett KM, Schmainda KM, Bennett RT, et al. Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential mode[J]. Magn Reson Med, 2003, 50(4): 727-34. doi: 10.1002/mrm.10581
    [13] 王丰, 周延, 王玉湘, 等. MR扩散加权成像单指数模型及体素内不相干运动模型参数直方图对上皮性卵巢癌分型的价值[J]. 2016, 50 (10): 768-73.
    [14] 于庆, 靳海英. 基于IVIM的MR扩散加权成像(DWI)对卵巢癌分型的诊断价值[J]. 中国CT和MRI杂志, 2020, 18(6): 124-6. doi: 10.3969/j.issn.1672-5131.2020.06.039
    [15] 周卫平, 陈宏伟, 昝星有, 等. 基于体素内不相干运动的扩散加权成像对乳腺肿块病灶良恶性的诊断价值[J]. 临床放射学杂志, 2016, 35 (11): 1664-8. https://www.cnki.com.cn/Article/CJFDTOTAL-LCFS201611009.htm
    [16] 邢金丽, 吴献华, 冯峰. 体素内不相干运动DWI对子宫内膜癌术前肿瘤分级评估[J]. 放射学实践, 2020, 35(10): 1288-92. https://www.cnki.com.cn/Article/CJFDTOTAL-FSXS202010019.htm
    [17] 尹希, 吴慧, 高阳, 等. 不同弥散模型对子宫内膜癌诊断及分级的价值[J]. 临床放射学杂志, 2019, 38(10): 1904-8. https://www.cnki.com.cn/Article/CJFDTOTAL-LCFS201910025.htm
    [18] 孟楠, 翟战胜, 殷慧佳, 等. 单指数、双指数及拉伸指数模型扩散加权成像在卵巢良恶性肿瘤鉴别中的价值[J]. 放射学实践, 2018, 33(7): 713-6. https://www.cnki.com.cn/Article/CJFDTOTAL-FSXS201807018.htm
    [19] Liu XH, Zhou LP, Peng WJ, et al. Comparison of stretched-Exponential and monoexponential model diffusion-Weighted imaging in prostate cancer and normal tissues[J]. J Magn Reson Imaging, 2015, 42(4): 1078-85. doi: 10.1002/jmri.24872
    [20] Rockall AG. Diffusion weighted MRI in ovarian cancer[J]. Curr Opin Oncol, 2014, 26(5): 529-35. doi: 10.1097/CCO.0000000000000112
    [21] Zhang P, Cui YF, Li WH, et al. Diagnostic accuracy of diffusionweighted imaging with conventional MR imaging for differentiating complex solid and cystic ovarian tumors at 1.5T[J]. World J Surg Oncol, 2012, 10(1): 1-8. doi: 10.1186/1477-7819-10-1
    [22] 孟楠, 闫瑞芳, 任继鹏, 等. 单指数、双指数及拉伸指数模型扩散加权成像参数诊断子宫内膜癌[J]. 中国医学影像学杂志, 2017, 25(8): 609-12, 616. doi: 10.3969/j.issn.1005-5185.2017.08.013
    [23] 魏乐群, 陈殿森, 孙聚葆, 等. MR体素内不相干运动成像对乳腺良恶性病变的鉴别诊断价值[J]. 中国医学影像学杂志, 2016, 24 (12): 906-8. doi: 10.3969/j.issn.1005-5185.2016.12.008
    [24] 田士峰, 刘爱连, 陈安良, 等. 体素内不相干运动多模型参数鉴别Ⅰ期子宫内膜癌与子宫内膜息肉[J]. 中国医学影像技术, 2019, 35(12): 1856-60. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYXX201912034.htm
    [25] Filipov Peres G, Spadoto-Dias D, Neves Bueloni-Dias F, et al. Immunohistochemical expression of hormone receptors, Ki-67, endoglin (CD105), claudins 3 and 4, MMP-2 and -9 in endometrial polyps and endometrial cancer type[J]. Oncotargets Ther, 2018, 11: 3949-58. doi: 10.2147/OTT.S160014
    [26] Liang CY, Chen MD, Zhao XX, et al. Multiple mathematical models of diffusion-weighted magnetic resonance imaging combined with prognostic factors for assessing the response to neoadjuvant chemotherapy and radiation therapy in locally advanced rectal cance[J]. Eur J Radiol, 2019, 110: 249-55. doi: 10.1016/j.ejrad.2018.12.005
    [27] Cohen AD, Schieke MC, Hohenwalter MD, et al. The effect of low bvalues on the intravoxel incoherent motion derived pseudodiffusion parameter in live[J]. Magn Reson Med, 2015, 73(1): 306-11. doi: 10.1002/mrm.25109
    [28] 张琪, 余小多, 林蒙, 等. 体素内不相干运动扩散加权成像术前评估子宫内膜癌分级、肌层侵犯的价值[J]. 磁共振成像, 2018, 9(3): 214-20. https://www.cnki.com.cn/Article/CJFDTOTAL-CGZC201803012.htm
    [29] Zhu QQ, Ye J, Zhu WR, et al. Value of intravoxel incoherent motion in assessment of pathological grade of clear cell renal cell carcinom[J]. Acta Radiol Stock Swed, 2018, 59(1): 121-7.
    [30] Iima M, Reynaud O, Tsurugizawa T, et al. Characterization of glioma microcirculation and tissue features using intravoxel incoherent motion magnetic resonance imaging in a rat brain model[J]. Invest Radiol, 2014, 49(7): 485-90. doi: 10.1097/RLI.0000000000000040
    [31] Wang F, Wang Y, Zhou Y, et al. Comparison between types I and II epithelial ovarian cancer using histogram analysis of monoexponential, biexponential, and stretched-exponential diffusion model[J]. J Magn Reson Imaging, 2017, 46(6): 1797-809. doi: 10.1002/jmri.25722
    [32] 尹希, 吴慧, 高阳, 等. 不同扩散模型在子宫内膜癌诊断中的应[J]. 磁共振成像, 2018, 9(7): 556-60. https://www.cnki.com.cn/Article/CJFDTOTAL-CGZC201807018.htm
    [33] Bai Y, Lin YS, Tian J, et al. Grading of gliomas by using monoexponential, biexponential, and stretched exponential diffusionweighted MR imaging and diffusion kurtosis MR imaging[J]. Radiology, 2016, 278(2): 496-504. doi: 10.1148/radiol.2015142173
    [34] Andreou A, Koh DM, Collins DJ, et al. Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastase[J]. Eur Radiol, 2013, 23(2): 428-34. doi: 10.1007/s00330-012-2604-1
    [35] Federau C, Hagmann P, Maeder P, et al. Dependence of brain intravoxel incoherent motion perfusion parameters on the cardiac cycle[J]. PLoS One, 2013, 8(8): e72856. doi: 10.1371/journal.pone.0072856
    [36] Yan B, Zhao TT, Liang XF, et al. Can the apparent diffusion coefficient differentiate the grade of endometrioid adenocarcinoma and the histological subtype of endometrial cancer?[J]. Acta Radiol, 2018, 59(3): 363-70. doi: 10.1177/0284185117716198
    [37] Kishimoto K, Tajima S, Maeda I, et al. Endometrial cancer: correlation of apparent diffusion coefficient(ADC)with tumor cellularity and tumor grade[J]. Acta Radiol, 2016, 57(8): 1021-8. doi: 10.1177/0284185115612249
    [38] Zhu SC, Wei Y, Gao FF, et al. Esophageal carcinoma: Intravoxel incoherent motion diffusion-weighted MRI parameters and histopathological correlations[J]. J Magn Reson Imaging, 2019, 49 (1): 253-61. doi: 10.1002/jmri.26172
    • 相关文章
    • 施引文献
  • 资源附件(0)
  • 加载中
WeChat 点击查看大图
计量
  • 文章访问数:  165
  • HTML全文浏览量:  138
  • PDF下载量:  5
  • 被引次数: 0
出版历程
  • 收稿日期:  2021-09-17
  • 网络出版日期:  2022-01-05
  • 刊出日期:  2021-11-20

目录

    /

    返回文章
    返回
    • 版权所有© 2013《分子影像学杂志》编辑部 ICP备00000000号
    • 重点提示: Adobe Reader6可能造成全文显示不正常，请升级为Adobe Reader7或更高。
    • 地址: 广东省广州市广州大道北1838号 Tel: 020-61648176 E-mail: 

    本系统由 北京仁和汇智信息技术有限公司 开发  技术支持：info@rhhz.net

    x 关闭 永久关闭

    关于《分子影像学杂志》变更刊期通知

    各位专家、作者、读者：

    为了缩短出版时滞，促进科研成果的快速传播，我刊自2024年1月起，刊期由双月刊变更为月刊。本刊主要栏目有：基础研究、临床研究、技术方法、综述等。

    感谢各位专家、作者、读者长期以来对我刊的支持与厚爱！

    南方医科大学学报编辑部

    《分子影像学杂志》

    2023年12月27日