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Research progress of MRI in pelvic floor dysfunction
WU Xufan  WU Zhifa  LIU Ying 

Cite this article as: Wu XF, Wu ZF, Liu Y. Research progress of MRI in pelvic floor dysfunction. Chin J Magn Reson Imaging, 2020, 11(11): 1071-1073, 1080. DOI:10.12015/issn.1674-8034.2020.11.027.


[Abstract] Pelvic floor dysfunction disease (PFD) refers to a series of diseases of pelvic anatomy and dysfunction caused by damage and degradation of pelvic floor supporting structure. MRI has a variety of examination techniques and methods for pelvic floor dysfunction diseases, which not only provides the basis for PFD anatomical and functional changes, but also helps explore pathophysiological changes. This article reviews the domestic and foreign literature on the progress of pelvic floor magnetic resonance, and describes the characteristics, current status and prospects of pelvic floor MRI imaging including static magnetic resonance imaging, dynamic magnetic resonance imaging, and functional magnetic resonance imaging.
[Keywords] pelvic floor dysfunction；magnetic resonance imaging；diffusion tensor imaging

WU Xufan Department of MRI, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China

WU Zhifa Department of MRI, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China

LIU Ying* Department of MRI, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China

*Correspondence to: Liu Y, E-mail: felice828@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  Bethune Charitable Foundation Fund Project No. 2019-12-31
Received  2020-06-03
Accepted  2020-09-28
DOI: 10.12015/issn.1674-8034.2020.11.027
Cite this article as: Wu XF, Wu ZF, Liu Y. Research progress of MRI in pelvic floor dysfunction. Chin J Magn Reson Imaging, 2020, 11(11): 1071-1073, 1080. DOI:10.12015/issn.1674-8034.2020.11.027.

[1]
Nygaard I, Barber MD, Burgio KL, et al. Prevalence of symptomatic pelvic floor disorders in US women. JAMA, 2008, 300(11): 1311-1316. DOI: 10.1001/jama.300.11.1311
[2]
杜亚飞，房桂英，陈然，等．石家庄地区女性盆底功能障碍性疾病患病情况调查．检验医学与临床, 2016, 13(22): 3141-3142, 3145. DOI: 10.3969/j.issn.1672-9455.2016.22.004
[3]
孙志戬，张丽丽，兰振和．阜新地区女性盆底功能障碍性疾病发病率调查及诊治方案选择．中国现代药物应用, 2017, 11(24): 63-65. DOI: 10.14164/j.cnki.cn11-5581/r.2017.24.035
[4]
Fothergill WE. On the operative treatment of displacements of the pelvic viscera. Trans Edinb Obstet Soc, 1908, 33: 129-145. DOI: org/10.1111/j.1471-0528.1908.tb14561.x
[5]
Petros PE, Ulmsten UI. An integral theory of female urinary incontinence. Experimental and clinical considerations. Acta Obstet Gynecol Scand Suppl, 1990, 69(S153): 7-31. DOI: 10.1111/j.1600-0412.1990.tb08027.x
[6]
DeLancey JO. Anatomic aspects of vaginal eversion after hysterectomy. Am J Obstet Gynecol, 1992, 166(6Pt 1):1717-1728. DOI: 10.1016/0002-9378(92)91562-o
[7]
Yang A, Mostwin JL, Rosenshein NB, et al. Pelvic floor descent in women: dynamic evaluation with fast MR imaging and cinematic display. Radiology, 1991, 179(1): 25-33. DOI: 10.1148/radiology.179.1.2006286
[8]
Kobi M, Flusberg M, Paroder V, et al. Practical guide to dynamic pelvic floor MRI. J Magn Reson Imaging, 2018, 47(5): 1155-1170. DOI: 10.1002/jmri.25998
[9]
El Sayed RF, El Mashed S, Farag A, et al. Pelvic floor dysfunction: assessment with combined analysis of static and dynamic MR imaging findings. Radiology, 2008, 248(2): 518-530. DOI: 10.1148/radiol.2482070974
[10]
El Sayed RF, Alt CD, Maccioni F, et al. Magnetic resonance imaging of pelvic floor dysfunction-joint recommendations of the ESUR and ESGAR Pelvic Floor Working Group. Eur Radiol, 2017, 27(5): 2067-2085. DOI: 10.1007/s00330-016-4471-7
[11]
Li M, Jiang T, Peng P, Yang X. MR Defecography in assessing functional defecation disorder: diagnostic value of the defecation phase in detection of dyssynergic defecation and pelvic floor prolapse in females. Digestion, 2019, 100(2): 109-116. DOI: 10.1159/000494249
[12]
Khatri G, Kumar NM, Xi Y, et al. Defecation versus pre- and post-defecation Valsalva maneuvers for dynamic MR assessment of pelvic floor dysfunction. Abdom Radiol (NY). DOI: . DOI: 10.1007/s00261-019-02208-8
[13]
Giraudo C, Motyka S, Weber M, et al. Normalized STEAM-based diffusion tensor imaging provides a robust assessment of muscle tears in football players: preliminary results of a new approach to evaluate muscle injuries. Eur Radiol, 2018, 28(7): 2882-2889. DOI: 10.1007/s00330-017-5218-9
[14]
Hooijmans MT, Monte JRC, Froeling M, et al. Quantitative MRI Reveals Microstructural Changes in the Upper Leg Muscles After Running a Marathon. J Magn Reson Imaging, 2020. DOI: DOI: 10.1002/jmri.27106
[15]
Monte JR, Hooijmans MT, Froeling M, et al. The repeatability of bilateral diffusion tensor imaging (DTI) in the upper leg muscles of healthy adults. Eur Radiol, 2020, 30(3): 1709-1718. DOI: 10.1007/s00330-019-06403-5
[16]
Zijta FM, Froeling M, van der Paardt MP, et al. Feasibility of diffusion tensor imaging (DTI) with fibre tractography of the normal female pelvic floor. Eur Radiol, 2011, 21(6): 1243-1249. DOI: 10.1007/s00330-010-2044-8
[17]
Zijta FM, Lakeman MM, Froeling M, et al. Evaluation of the female pelvic floor in pelvic organ prolapse using 3.0-Tesla diffusion tensor imaging and fibre tractography. Eur Radiol, 2012, 22(12): 2806-2813. DOI: 10.1007/s00330-012-2548-5
[18]
Rousset P, Delmas V, Buy JN, et al. In vivo visualization of the levator ani muscle subdivisions using MR fiber tractography with diffusion tensor imaging. J Anat, 2012, 221(3): 221-228. DOI: 10.1111/j.1469-7580.2012.01538.x
[19]
崔璨，李娜，程悦，等. MR扩散张量成像和纤维束示踪技术评价经阴道分娩初产妇肛提肌损伤．中华解剖与临床杂志, 2016, 21(4): 306-310. DOI: 10.3760/cma.j.issn.2095-7041.2016.04.006
[20]
门永超，孙成凤，韩雨，等. DTI和DTT评估孕产史对女性盆底肌的影响．实用医学杂志, 2016, 32(20): 3391-3393. DOI: 10.3969/j.issn.1006-5725.2016.20.030
[21]
门永超，孙成凤，韩雨，等．磁共振扩散张量成像评价女性盆底肌加龄性变化规律的可行性研究．中国医学计算机成像杂志, 2017, 23(2): 146-150. DOI: 10.19627/j.cnki.cn31-1700/th.2017.02.009
[22]
Brandão S, Parente M, Silva E, et al. Pubovisceralis muscle fiber architecture determination: comparison between biomechanical modeling and diffusion tensor imaging. Ann Biomed Eng, 2017, 45(5): 1255-1265. DOI: 10.1007/s10439-016-1788-y
[23]
Roux M, Hilbert T, Hussami M, et al. MRI T2 mapping of the knee providing synthetic morphologic images: comparison to conventional turbo spin-echo MRI. Radiology, 2019, 293(3): 620-630. DOI: 10.1148/radiol.2019182843
[24]
Dolan RS, Rahsepar AA, Blaisdell J, et al. Multiparametric cardiac magnetic resonance imaging can detect acute cardiac allograft rejection after heart transplantation. JACC Cardiovasc Imaging, 2019, 12(8Pt 2): 1632-1641. DOI: 10.1016/j.jcmg.2019.01.026
[25]
Sollmann N, Mathonia N, Weidlich D, et al. Quantitative magnetic resonance imaging of the upper trapezius muscles-assessment of myofascial trigger points in patients with migraine. J Headache Pain, 2019, 20(1): 8. DOI: 10.1186/s10194-019-0960-9
[26]
赵玉娇，崔璨，张菁，等. MR T2-mapping用于评估经阴道分娩肛提肌损伤的可行性研究．实用放射学杂志, 2017, 33(10): 1553-1556, 1593. DOI: 10.3969/j.issn.1002-1671.2017.10.015
[27]
Muthupillai R, Lomas DJ, Rossman PJ, et al. Magnetic resonance elastography by direct visualization of propagating acoustic strain waves. Science, 1995, 269(5232): 1854-1857. DOI: 10.1126/science.7569924
[28]
Jayakumar S, Middleton MS, Lawitz EJ, et al. Longitudinal correlations between MRE, MRI-PDFF, and liver histology in patients with non-alcoholic steatohepatitis: analysis of data from a phase II trial of selonsertib. J Hepatol, 2019, 70(1): 133-141. DOI: 10.1016/j.jhep.2018.09.024
[29]
Chen Q, Wang HJ, Gay RE, et al. Quantification of myofascial taut bands. Arch Phys Med Rehabil, 2016, 97(1): 67-73. DOI: 10.1016/j.apmr.2015.09.019
[30]
Ding J, Deng M, Song XC, et al. Nanofibrous biomimetic mesh can be used for pelvic reconstructive surgery: a randomized study. J Mech Behav Biomed Mater, 2016, 61: 26-35. DOI: 10.1016/j.jmbbm.2016.01.003
[31]
刘娟，周爱云．剪切波弹性成像评估分娩方式对耻骨直肠肌弹性的影响．中国医学影像学杂志, 2018, 26(2): 126-129. DOI: 10.3969/j.issn.1005-5185.2018.02.011

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