Advances and Applications of MRI in Staging Assessment of Cervical Cancer

doi:10.12280/gjfckx.20210165

Abstract

Abstract:

Cervical cancer is the tumor with the highest incidence in gynecological malignancies. The requirements for accurate clinical diagnosis and staging evaluation are increasing with the development of precise treatment. New changes have taken place in the update of cervical cancer guidelines at home and abroad. In 2018, the International Federation of Gynecology and Obstetrics (FIGO) updated the surgical staging of cervical cancer, which proposed imaging and pathology-assisted staging for the first time to more accurately assess tumor progression compared to the previous clinical staging alone. In terms of imaging evaluation, since MRI has no ionizing radiation, better soft tissue resolution and more functional imaging sequences, the 2021 NCCN Clinical Practice Guidelines in Cervical Cancer recommends pelvic MRI as imaging for the evaluation of local disease extent. With the clinical application of MRI technology and the exploration of artificial intelligence technology, MRI has great application potential in the accurate assessment of cervical cancer diagnosis and follow-up after treatment. This article will discuss the recent progress and applications of MRI in cervical cancer staging assessment based on the updates of the FIGO staging of cervical cancer.

Key words: Magnetic resonance imaging, Uterine cervical neoplasms, Lymphatic metastasis, Sensitivity and specificity, Ultrasonography

HONG Shi-bin, CHENG Jie-jun, DI Wen. Advances and Applications of MRI in Staging Assessment of Cervical Cancer[J]. Journal of International Obstetrics and Gynecology, 2021, 48(6): 634-638.

References 37

[1]	郑荣寿, 孙可欣, 张思维, 等. 2015年中国恶性肿瘤流行情况分析[J]. 中华肿瘤杂志, 2019,41(1):19-28. doi: 10.3760/cma.j.issn.0253-3766.2019.01.008. doi: 10.3760/cma.j.issn.0253-3766.2019.01.008
[2]	Bhatla N, Berek JS, Cuello Fredes M, et al. Revised FIGO staging for carcinoma of the cervix uteri[J]. Int J Gynaecol Obstet, 2019,145(1):129-135. doi: 10.1002/ijgo.12749. doi: 10.1002/ijgo.12749
[3]	No authors listed. Corrigendum to "Revised FIGO staging for carcinoma of the cervix uteri" [Int J Gynecol Obstet 145(2019) 129-135][J]. Int J Gynaecol Obstet, 2019,147(2):279-280. doi: 10.1002/ijgo.12969. doi: 10.1002/ijgo.12969
[4]	National Comprehensive Cancer Network. Clinical Practice Guidelines in Oncology:Cervical Cancer[EB/OL]. [2020-10-02]. https://www.nccn.org/professionals/physician_gls/pdf/cervical.pdf.
[5]	周晖, 刘昀昀, 罗铭, 等. 《2021 NCCN子宫颈癌临床实践指南(第1版)》解读[J]. 中国实用妇科与产科杂志, 2020,36(11):1098-1104. doi: 10.19538/j.fk2020110115. doi: 10.19538/j.fk2020110115
[6]	Lee SI, Atri M. 2018 FIGO Staging System for Uterine Cervical Cancer: Enter Cross-sectional Imaging[J]. Radiology, 2019,292(1):15-24. doi: 10.1148/radiol.2019190088. doi: 10.1148/radiol.2019190088
[7]	Nanthamongkolkul K, Hanprasertpong J. Predictive Factors of Pelvic Lymph Node Metastasis in Early-Stage Cervical Cancer[J]. Oncol Res Treat, 2018,41(4):194-198. doi: 10.1159/000485840. doi: 10.1159/000485840 pmid: 29562222
[8]	Moro F, Bonanno GM, Gui B, et al. Imaging modalities in fertility preservation in patients with gynecologic cancers[J]. Int J Gynecol Cancer, 2021,31(3):323-331. doi: 10.1136/ijgc-2020-002109. doi: 10.1136/ijgc-2020-002109
[9]	de Boer P, Adam JA, Buist MR, et al. Role of MRI in detecting involvement of the uterine internal os in uterine cervical cancer: systematic review of diagnostic test accuracy[J]. Eur J Radiol, 2013,82(9):e422-428. doi: 10.1016/j.ejrad.2013.04.027. doi: 10.1016/j.ejrad.2013.04.027
[10]	Xu C, Yu Y, Li X, et al. Value of integrated PET-IVIM MRI in predicting lymphovascular space invasion in cervical cancer without lymphatic metastasis[J]. Eur J Nucl Med Mol Imaging, 2021,48(9):2990-3000. doi: 10.1007/s00259-021-05208-3. doi: 10.1007/s00259-021-05208-3
[11]	Hua WQ, Xiao TH, Jiang XR, et al. Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI[J]. Biomed Signal Proces Control, 2020,58:101869. doi: 10.1016/j.bspc.2020.101869. doi: 10.1016/j.bspc.2020.101869
[12]	Wright JD, Matsuo K, Huang Y, et al. Prognostic Performance of the 2018 International Federation of Gynecology and Obstetrics Cervical Cancer Staging Guidelines[J]. Obstet Gynecol, 2019,134(1):49-57. doi: 10.1097/AOG.0000000000003311. doi: 10.1097/AOG.0000000000003311 pmid: 31188324
[13]	Ma X, Li Q, Wang JL, et al. Comparison of elastography based on transvaginal ultrasound and MRI in assessing parametrial invasion of cervical cancer[J]. Clin Hemorheol Microcirc, 2017,66(1):27-35. doi: 10.3233/CH-16235. doi: 10.3233/CH-16235
[14]	Kim M, Suh DH, Kim K, et al. Magnetic Resonance Imaging as a Valuable Tool for Predicting Parametrial Invasion in Stage IB1 to IIA2 Cervical Cancer[J]. Int J Gynecol Cancer, 2017,27(2):332-338. doi: 10.1097/IGC.0000000000000878. doi: 10.1097/IGC.0000000000000878
[15]	Wang T, Gao T, Guo H, et al. Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram[J]. Eur Radiol, 2020,30(6):3585-3593. doi: 10.1007/s00330-019-06655-1. doi: 10.1007/s00330-019-06655-1 pmid: 32065284
[16]	He F, Du J, Chen X, et al. Assessment of Parametrial Involvement in Early Stages Cervical Cancer With Preoperative Magnetic Resonance Imaging[J]. Int J Gynecol Cancer, 2018,28(9):1758-1765. doi: 10.1097/IGC.0000000000001349. doi: 10.1097/IGC.0000000000001349
[17]	Rockall AG, Ghosh S, Alexander-Sefre F, et al. Can MRI rule out bladder and rectal invasion in cervical cancer to help select patients for limited EUA?[J]. Gynecol Oncol, 2006,101(2):244-249. doi: 10.1016/j.ygyno.2005.10.012. doi: 10.1016/j.ygyno.2005.10.012 pmid: 16310245
[18]	Devine C, Viswanathan C, Faria S, et al. Imaging and Staging of Cervical Cancer[J]. Semin Ultrasound CT MR, 2019,40(4):280-286. doi: 10.1053/j.sult.2019.03.001. doi: 10.1053/j.sult.2019.03.001
[19]	Song Q, Yu Y, Zhang X, et al. Value of MRI and diffusion weighted imaging in diagnosing normal-sized pelvic lymph nodes metastases in patients with cervical cancer[J]. Br J Radiol, 2020 Oct 23:20200203. doi: 10.1259/bjr.20200203. doi: 10.1259/bjr.20200203
[20]	Haldorsen IS, Lura N, Blaakær J, et al. What Is the Role of Imaging at Primary Diagnostic Work-Up in Uterine Cervical Cancer?[J]. Curr Oncol Rep, 2019,21(9):77. doi: 10.1007/s11912-019-0824-0. doi: 10.1007/s11912-019-0824-0 pmid: 31359169
[21]	Wu Q, Wang S, Chen X, et al. Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer[J]. Radiother Oncol, 2019,138:141-148. doi: 10.1016/j.radonc.2019.04.035. doi: 10.1016/j.radonc.2019.04.035
[22]	Xiao M, Ma F, Li Y, et al. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early-Stage Cervical Cancer[J]. J Magn Reson Imaging, 2020,52(3):885-896. doi: 10.1002/jmri.27101. doi: 10.1002/jmri.27101
[23]	Hwang J, Hong SS, Kim HJ, et al. Reduced field-of-view diffusion-weighted MRI in patients with cervical cancer[J]. Br J Radiol, 2018,91(1087):20170864. doi: 10.1259/bjr.20170864. doi: 10.1259/bjr.20170864
[24]	Takeuchi M, Matsuzaki K, Bando Y, et al. Reduced field-of-view diffusion-weighted MR imaging for assessing the local extent of uterine cervical cancer[J]. Acta Radiol, 2020,61(2):267-275. doi: 10.1177/0284185119852733. doi: 10.1177/0284185119852733 pmid: 31154804
[25]	Le Bihan D. What can we see with IVIM MRI?[J]. Neuroimage, 2019,187:56-67. doi: 10.1016/j.neuroimage.2017.12.062. doi: 10.1016/j.neuroimage.2017.12.062
[26]	米红兰, 程杰军, 殷霞, 等. 体素不相干运动与动态对比增强磁共振成像在评估早期宫颈癌淋巴脉管浸润状态中的应用[J]. 上海交通大学学报(医学版), 2020,40(2):224-230. doi: 10.3969/j.issn.1674-8115.2020.02.013. doi: 10.3969/j.issn.1674-8115.2020.02.013
[27]	张文婷, 尹化斌. 磁共振弥散张量成像在子宫及子宫疾病中的应用研究进展[J]. 国际妇产科学杂志, 2019,46(6):609-613. doi: 10.3969/j.issn.1674-1870.2019.06.002. doi: 10.3969/j.issn.1674-1870.2019.06.002
[28]	Yamada I, Oshima N, Wakabayashi A, et al. Diffusion-Tensor Imaging of Uterine Cervical Carcinoma: Correlation With Histopathologic Findings[J]. J Comput Assist Tomogr, 2020,44(3):426-435. doi: 10.1097/RCT.0000000000001014. doi: 10.1097/RCT.0000000000001014
[29]	Dappa E, Elger T, Hasenburg A, et al. The value of advanced MRI techniques in the assessment of cervical cancer: a review[J]. Insights Imaging, 2017,8(5):471-481. doi: 10.1007/s13244-017-0567-0. doi: 10.1007/s13244-017-0567-0
[30]	Shah N, Sattar A, Benanti M, et al. Magnetic resonance spectroscopy as an imaging tool for cancer: a review of the literature[J]. J Am Osteopath Assoc, 2006,106(1):23-27.
[31]	奉小艳. 磁共振成像DWI、DCE-MRI、MRS在宫颈癌化疗疗效监测中的应用进展[J]. 实用妇产科杂志, 2013,29(11):816-819.
[32]	Rizzo S, Buscarino V, Origgi D, et al. Evaluation of diffusion-weighted imaging (DWI) and MR spectroscopy (MRS) as early response biomarkers in cervical cancer patients[J]. Radiol Med, 2016,121(11):838-846. doi: 10.1007/s11547-016-0665-y. doi: 10.1007/s11547-016-0665-y
[33]	崔雅琼, 王莉莉, 赵莲萍, 等. 宫颈癌影像组学研究进展[J]. 磁共振成像, 2020,11(6):477-480. doi: 10.12015/issn.1674-8034.2020.06.020. doi: 10.12015/issn.1674-8034.2020.06.020
[34]	Becker AS, Ghafoor S, Marcon M, et al. MRI texture features may predict differentiation and nodal stage of cervical cancer: a pilot study[J]. Acta Radiol Open, 2017,6(10):2058460117729574. doi: 10.1177/2058460117729574. doi: 10.1177/2058460117729574
[35]	Fang J, Zhang B, Wang S, et al. Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer[J]. Theranostics, 2020,10(5):2284-2292. doi: 10.7150/thno.37429. doi: 10.7150/thno.37429 pmid: 32089742
[36]	Nougaret S, McCague C, Tibermacine H, et al. Radiomics and radiogenomics in ovarian cancer: a literature review[J]. Abdom Radiol (NY), 2021,46(6):2308-2322. doi: 10.1007/s00261-020-02820-z. doi: 10.1007/s00261-020-02820-z pmid: 33174120
[37]	邓保娣, 李震, 胡道予, 等. 小视野扩散加权成像在宫颈癌中的临床价值[J]. 磁共振成像, 2020,11(7):487-492. doi: 10.12015/issn.1674-8034.2020.07.002. doi: 10.12015/issn.1674-8034.2020.07.002