双指数模型DWI对宫颈癌分期及分级诊断的价值

doi:DOI:10.12117/jccmi.2018.12.010

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Abstract Objective: To investigate the value of bi-exponential model of intravoxel incoherent motion(IVIM) in diagnosis of different stages, pathological types and subtypes of cervical cancer. Methods: Sixty-five patients with pathological diagnosis of cervical cancer were collected. Apparent diffusion coefficient(ADC), slow apparent diffusion coefficient(ADCslow), fast apparent diffusion coefficient(ADCfast) and fraction of ADCfast(Ffast) were recorded using mono-exponential signal decay model and bi-exponential signal decay model, which were then compared statistically between different stages, pathological types and subtypes. Results: In cervical cancer group, ADCslow of infiltration group was lower than non infiltration group, with statistically significant difference(P<0.05). ADCfast and Ffast of infiltration group were higher than non infiltration group, and the difference were not statistically significant(P>0.05). ADCslow of squamous cell carcinoma was lower than adenocarcinoma cell carcinoma. ADCfast and Ffast of squamous cell carcinoma were higher than adenocarcinoma cell carcinoma, and the difference was statistically significant(P<0.05). ADCslow of cases of high differentiation was higher than cases of middle～low differentiation, with statistically significant difference(P<0.05), while ADCfast and Ffast were not statistically significant(P>0.05). Receiver operating characteristic curve analysis showed that ADCslow was the most effective in diagnosis cervical cancer of different pathological types and subtypes. Conclusion: ADCslow has a high value in diagnostic cervical cancer of different stages and subtypes.

Key words： Cervix neoplasms Magnetic resonance imaging

Received: 08 January 2018

PACS:	Ｒ737.33
	Ｒ445.2

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	LI Jun1
	WU Xian-hua2
	FENG Feng1
	LI Hong-jiang1
	XIA Gan-lin1

Cite this article:

LI Jun1,WU Xian-hua2,FENG Feng1, et al. The value of bi-ponential model DWI in diagnosis of different stages, pathological types and subtypes of cervical cancer[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2018, 29(12): 876-880.

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http://www.jccmi.com.cn/EN/DOI:10.12117/jccmi.2018.12.010 OR http://www.jccmi.com.cn/EN/Y2018/V29/I12/876

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