IVIM-DWI与DCE-MRI定量参数对宫颈鳞癌同步放化疗早期疗效预测的价值

doi:10.3760/cma.j.cn113030-20200202-00038

Abstract
Figure/Table
References(15)
Related Citation (15)
Read Tracking
Download Tracking

Download: PDF (0 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS) Supporting Info

Abstract Objective To evaluate the application value of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) and dynamic contrast enhancement MRI (DCE-MRI) in the prediction of the early efficacy of concurrent chemoradiotherapy (CCRT) for cervical squamous cell carcinoma. Methods Fifty patients with cervical squamous cell carcinoma confirmed by pathology were included. Before CCRT, IVIM-DWI and DCE-MRI were scanned, and the values of quantitative parameters including ADC, D, D^* and f of IVIM-DWI and K^trans, Kep, Ve and Vp of DCE-MRI before treatment were measured for all patients. MRI reexamination was performed 1 month after the end of CCRT, and all patients were divided into the cure group and the residual group according to the tumor remission. The parameters of IVIM-DWI and DCE-MRI before treatment were statistically compared between two groups. The optimal predictive parameters and predictive thresholds were determined by drawing the receiver operating characteristic (ROC) curve. Results Twenty-four patients were assigned into the cure group and twenty-six patients in the residual group. The ADC, D and Ve values before treatment in the cure group were significantly lower than those in the residual group (all P<0.05), whereas the f and K^trans values were significantly higher than those in the residual group (both P<0.05). The other parameters did not significantly differ between two groups (all P>0.05). The area under ROC curve (AUC=0.823) of D value was the largest, followed by K^transvalue (AUC=0.754). The combined prediction efficacy of D and K^trans (AUC=0.867) was higher than that of either D or K^trans alone. The sensitivity was 88.5%, 85.8% and 88.8%, and the specificity was 70.8%, 66.7% and 79.2%, respectively. Conclusions Quantitative parameters of IVIM-DWI and DCE-MRI before treatment have certain predictive value for the early efficacy of CCRT in cervical squamous cell carcinoma, among which the predictive efficacy of D value is the highest, and the combined application of D and K^trans can improve the predictive efficacy.

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Zheng Xiaomin
	Qian Liting
	Dong Jiangning
	Liu Yunqin
	Fang Xin
	Li Cuiping

Key words： Magnetic resonance imaging Intravoxel incoherent motion diffusion weighted imaging Dynamic contrast-enhanced Cervical neoplasm/concurrent chemoradiotherapy Efficacy prediction

Received: 02 February 2020

Fund:Key Research and Development Project of Anhui Province (1804h08020294)

Corresponding Authors: Qian Liting, Email:money2004＠sina.com;Dong Jiangning, Email:dongjn@163.com

Cite this article:

Zheng Xiaomin,Qian Liting,Dong Jiangning et al. Predictive value of IVIM-DWI and DCE-MRI quantitative parameters on the early efficacy of concurrent chemoradiotherapy for cervical squamous cell carcinoma[J]. Chinese Journal of Radiation Oncology, 2020, 29(8): 654-660.

URL:

http://journal12.magtechjournal.com/Jweb_fszlx/EN/10.3760/cma.j.cn113030-20200202-00038 OR http://journal12.magtechjournal.com/Jweb_fszlx/EN/Y2020/V29/I8/654

[1] Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019[J]. CA Cancer J Clin, 2019, 69(1):7-34. DOI:10.3322/caac.21551.
[2] Giavedoni ME, Staringer L, Garrido R, et al. Experience with concurrent chemoradiotherapy treatment in advanced cervical cancer:results from a hospital in Argentina[J]. Ecancermedicalscience, 2019, 13(9):919. DOI:10.3332/ecancer.2019.919.
[3] Klerkx WM, veldhuis WB, Spijkerboer AM, et al. The value of 3.0 tesla diffusion-weighted MRI for pelvic nodal staging in patients with early stage cervical cancer[J]. Eur J Cancer, 2012, 48(18):3414-3421. DOI:10.1016/j.ejca.2012.06.022.
[4] Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumours:revised RECIST guideline (version 1.1)[J]. Eur J Cancer, 2009, 45(2):228-247. DOI:10.1016/j.ejca.2008.10.026.
[5] Matsuo K, Machida H, Mandelbaum RS, et al. Validation of the 2018 FIGO cervical cancer staging system[J]. Gynecol Oncol, 2019, 152(1):87-93. DOI:10.1016/j.ygyno.2018.10.026.
[6] Le Bihan D, Breton E, Lallemand D, et al. MR imaging of intravoxel incoherent motions:application to diffusion and perfusion in neurologic disorders[J]. Radiology, 1986, 161(2):401-407. DOI:10.1148/radiology.161.2.3763909.
[7] Qin Y, Yu X, Hou J, et al. Predicting chemoradiotherapy response of nasopharyngeal carcinoma using texture features based on intravoxel incoherent motion diffusion-weighted imaging[J]. Medicine (Baltimore), 2018,97(30):e11676. DOI:10.1097/MD.0000000000011676.
[8] Zhou Y, Liu J, Liu C, et al. Intravoxel incoherent motion diffusion weighted MRI of cervical cancer-Correlated with tumor differentiation and perfusion[J]. Magn Reson Imaging, 2016, 34(8):1050-1056. DOI:10.1016/j.mri.2016.04.009.
[9] Jia QJ, Zhang SX, Chen WB, et al. Initial experience of correlating parameters of intravoxel incoherent motion and dynamic contrast-enhanced magnetic resonance imaging at 3.0 T in nasopharyngeal carcinoma[J]. Eur Radiol, 2014, 24(12):3076-3087. DOI:10.1007/s00330-014-3343-2.
[10] 朱胜彬, 黄金炼, 潘京华, 等. 体素内不相干运动扩散加权磁共振成像评价重组人血管内皮抑素诱导结直肠癌小鼠肿瘤血管正常化的研究[J]. 中华肿瘤杂志, 2019, 41(6):421-428. DOI:10.1007/s00330-017-5183-3.
Zhu SB, Huang JL, Pan JH, et al. Evaluation of tumor vascular normalization in colorectal cancer mouse mode induced by recombinant human endostatin by intravoxel incoherent motion diffusion-weighted magnetic resonance imaging[J]. Chin J Oncol, 2019, 41(6):421-428. DOI:10.1007/s00330-017-5183-3.
[11] 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.
[12] Kakite S, Dyvorne HA, Lee KM, et al. Hepatocellular carcinoma:IVIM diffusion quantification for prediction of tumor necrosis compared to enhancement ratios[J]. Eur J Radiol Open, 2016, 3(1):1-7. DOI:10.1016/j.ejro.2015.11.002.
[13] Tofts PS, Brix G, Buckley DL, et al. Estimating kinetic parameters from dynamic contrast-enhanced T (1)-weighted MRI of a diffusable tracer:standardized quantities and symbols[J]. J Magn Reson Imaging, 1999, 10(3):223-232. DOI:10.1002/(sici)1522-2586(199909)10:3<223::aid-jmri2>3.0.co;2-s.
[14] Zheng D, Lai G, Chen Y, et al. Integrating dynamic contrast-enhanced magnetic resonance imaging and diffusion kurtosis imaging for neoadjuvant chemotherapy assessment of nasopharyngeal carcinoma[J]. J Magn Reson Imaging, 2018, 48(5):1208-1216. DOI:10.1002/jmri.26164.
[15] Park JJ, Kim CK, Park SY, et al. Assessment of early response to concurrent chemoradiotherapy in cervical cancer:value of diffusion-weighted and dynamic contrast-enhanced MR imaging[J]. Magn Reson Imaging, 2014, 32(8):993-1000. DOI:10.1016/j.mri.2014.05.009.