Share:
Share this content in WeChat
X
Review
Research progresses of multimodal magnetic resonance imaging in uterine leiomyoma
XIONG Yu-lin  LÜ Fa-jin 

DOI:10.12015/issn.1674-8034.2018.09.014.


[Abstract] Uterine leiomyoma is the most common benign tumors of the reproductive system. It can be divided into submucosal, intramural and subserosal according to the location. Many leiomyomas are asymptomatic, but in 30%—40% of cases, they show a variety of symptoms, depending on the location and size. Leiomyomas can cause dysmenorrhea, heavy menstrual bleeding, infertility and pressure symptoms. There are various methods to treat it, including suegical interventions which is the most common strategies, but it doesn't have the advantages of small wounds and retention reproductive functions and non-surgical treatment which is more and more popular. It is often difficult to distinguish leiomyomas and malignant tumors due to the degeneration of leiomyomas, casuing some problems for the chinician to choose the surgical method. Therefore, it's important to make a correct diagnosis before operation. Magnetic resonance imaging (MRI) is an important method for the diagnosis of uterine fibroids, especially multimodal MRI technology, which combines the features of morphology and function of tumors. Not only providing more comprehensive characteristics of leiomyomas, but also exploring the mechanism of symptoms caused by fibroids. So, multimodal MRI plays an important role in the identification of atypical fibroids and uterine malignancies. The author intends to review the progress of multimodality MRI in uterine leiomyoma.
[Keywords] Leiomyoma;Uterine diseases;Magnetic resonance imaging

XIONG Yu-lin Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China

LÜ Fa-jin* Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China

*Corresponding to: Lü FJ, E-mail: fajinlv@163.com

Conflicts of interest   None.

Received  2018-05-03
Accepted  2018-07-20
DOI: 10.12015/issn.1674-8034.2018.09.014
DOI:10.12015/issn.1674-8034.2018.09.014.

[1]
Donnez J, Dolmans MM. Uterine fibroid management: from the present to the future. Hum Reprod Update, 2016, 22(6): 665-686.
[2]
Sharma P, Zaher S,Yadav AK, et al. Masive broad ligament cellular leiomyoma with cystic change: a diagnostic dilemma. J Clin Diagn Res, 2016,10(4): 1-2.
[3]
Bolan C, Caserta MP. MR imaging of atypical fibroids. Abdom Radiol, 2016, 41(12): 2332-2349.
[4]
Ando T, Kato H, Furui T, et al. Uterine smooth muscle tumours with hyperintense area on T1 weighted images: differentiation between leiomyosarcomas and leiomyomas. Br J Radiol, 2018, 91(1084): 20170767.
[5]
Koh DM, Collins DJ. Diffusion-weighted MRI in the body: applications and challenges in oncology. AJR Am J Roentgenol, 2007, 188(6): 1622-1635.
[6]
刘柳恒,吕富荣,肖智博,等. DWI诊断细胞型子宫肌瘤.中国医学影像技术, 2016, 32(10): 1550-1554.
[7]
Thomassin-Naggara I, Dechoux S, Bonneau C, et al. How to differentiate benign from malignant myometrial tumours using MR imaging. Eur Radiol, 2013, 23(8): 2306-2314.
[8]
Sato K, Yuasa N, Fujita M, et al. Clinical application of diffusion-weighted imaging for preoperative differentiation between uterine leiomyoma and leiomyosarcoma. Am J Obstet Gynecol, 2014, 210(4): 368.e1-368.e8.
[9]
Yang Q, Zhang LH, Su J, et al. The utility of diffusion-weighted MR imaging in differentiation of uterine adenomyosis and leiomyoma. Eur J Radiol, 2011, 79(2): 47-51.
[10]
Yamashita Y, Torashima M, Takahashi M, et al. Hyperintense uterine leiomyoma at T2-weighted MR imaging: differentiation with dynamic enhanced MR imaging and clinical implications. Radiology, 1993, 189(3): 721-725.
[11]
郑静,赵振华,杨建峰,等.磁共振动态增强定量参数在子宫肌瘤病理分型中的应用.中华医学杂志, 2017, 97(15): 1155-1159.
[12]
Kuang F, Yan Z, Li H, et al. Diagnostic accuracy of diffusion-weighted MRI for differentiation of cervical cancer and benign cervical lesions at 3.0 T: comparison with routine MRI and dynamic contrast-enhanced MRI. J Magn Reson Imaging, 2015, 42(4): 1094-1099.
[13]
Bi Q, Xiao ZB, Lv F, et al. Utility of clinical parameters and multiparametric MRI as predictive factors for differentiating uterine sarcoma from atypical leiomyoma. Acad Radiol, 2018, 25(8): 993-1002..
[14]
Nagai T, Takai Y, Akahori T, et al. Highly improved accuracy of the revised PREoperative sarcoma score (rPRESS) in the decision of performing surgery for patients presenting with a uterine mass. Springerplus, 2015, 4: 520.
[15]
Lakhman Y, Veeraraghavan H, Chaim J, et al. Differentiation of uterine leiomyosarcoma from atypical leiomyoma: diagnostic accuracy of qualitative MR imaging features and feasibility of texture analysis. Eur Radiol, 2017, 27(7): 2903-2915.
[16]
Fiocchi F, Nocetti L, Siopis E, et al. In vivo 3 T MR diffusion tensor imaging for detection of the fibre architecture of the human uterus: a feasibility and quantitative study. Br J Radiol, 2012, 85(1019): 1009-1017.
[17]
Weiss S, Jaermann T, Schmid P, et al. Three-dimensional fiber architecture of the nonpregnant human uterus determined ex vivo using magnetic resonance diffusion tensor imaging. Anat Rec A Discov Mol Cell Evol Biol, 2006, 288(1): 84-90.
[18]
Fujimoto K, Kido A, Okada T, et al. Diffusion tensor imaging (DTI) of the normal hum uterus in vivo at 3 tesla: comparison of DTI parameters in the different uterine layers. J Magn Reson Imaging, 2013, 38(6): 1494-1500.
[19]
Thrippleton MJ, Bastin ME, Munro KI, et al. Ex vivo water diffusion tensor properties of the fibroid uterus at 7 T and their relation to tissue morphology. J Magn Reson Imaging, 2011, 34(6): 1445-1451.
[20]
刘梓菀,吕富荣,肖智博,等.不同T2信号强度子宫肌瘤磁共振扩散张量成像特点的研究.磁共振成像, 2017, 8(8): 588-592.
[21]
史晓林,吕富荣.磁共振波谱扫描在子宫中的研究进展.中国医学影像技术, 2014, 30(11): 1745-1748.
[22]
余小多,欧阳汉,周纯武,等.子宫肿瘤1H-MRS研究.放射学实践, 2012, 27(5): 527-531.
[23]
Takeuchi M, Matsuzaki K, Harada M. Preliminary observations and clinical value of lipid peak in high-grade uterine sarcomas using in vivo proton MR spectroscopy. Eur Radiol, 2013, 23(9): 2358-2363.
[24]
Liu S, Zhang Q, Yin C, et al. Optimized approach to cine MRI of uterine peristalsis. J Magn Reson Imaging, 2016, 44(6): 1397-1404.
[25]
Hellman KM, Kuhn CS, Tu FF, et al. Cine MRI during spontaneous cramps in women with menstrual pain. Am J Obstet Gynecol, 2018, 218(5): 506.e1-506.e8.
[26]
Kido A, Ascher SM, Hahn W, et al. 3T MRI uterine peristalsis: comparison of symptomatic fibroid patients versuscontrols. Clin Radiol, 2014, 69(5): 468-472.
[27]
Yoshino O, Hayashi T, Osuga Y, et al. Decreased pregnancy rate is linked to abnormal uterine peristalsis caused by intramural fibroids. Hum Reprod, 2010, 25(10): 2475-2479.
[28]
Yoshino O, Nishii O, Osuga Y, et al. Myomectomy decreases abnormal uterine peristalsis and increases pregnancy rate. J Minim Invasive Gynecol, 2012, 19(1): 63-67.
[29]
Lin G, Yang LY, Huang YT, et al. Comparison of the diagnostic accuracy of contrast-enhanced MRI and diffusion-weighted MRI in the differentiation between uterine leiomyosarcoma /smooth muscle tumor with uncertain malignant potential and benign leiomyoma. J Magn Reson Imaging, 2016, 43(2): 333-342.
[30]
Kido A, Togashi K. Uterine anatomy and function on cine magnetic resonance imaging. Reprod Med Biol, 2016, 15(4): 191-199.

PREV Progress in imaging diagnosis of osteonecrosis of the femoral head after developmental dysplasia of the hip
NEXT Status of radiomics in cerebral giomas
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn