Share:
Share this content in WeChat
X
Experience Exchanges
Study of the correlation between DWI and IVIM and the pathology of cervical cancer
HU Sha-sha  CHEN Xiao-li  LIU Hai-feng  YIN Liang  XU Kai  LEI Jun-qiang 

DOI:10.12015/issn.1674-8034.2017.10.011.


[Abstract] Objective: To evaluate and contrast intravoxel incoherent motion (IVIM) and diffusion-weighted imaging (DWI) in the differentiation of cervical squamous cell carcinima and normal cervical tissue and cervical squamous cell carcinima.Materials and Methods: Collecting 9 normal people and 37 patients diagnosed with cervical squamous cell carcinoma according to surgery or biopsy with pelvic MRI routine scan sequence and IVIM sequences. In the 37 patients, including 9 high differentiation cervical squamous cell cancer, 20 medium differentiation cervical squamous cell cancer and 8 low differentiation cervical squamous cell cancer. Everyone underwent cervical magnetic resonance imaging (MRI) examination before treatment.Results: (1) The values of ADC, D in cervical squamous cell carcinoma were lower than those in normal cervical tissue, the values of D*, f in cervical squamous cell carcinoma were higher than those in normal cervical tissue, they all had obvious differences (P<0.05), the mean value of ADC had the best diagnostic efficiency. (2) The mean values of ADC and D were smaller and D* and f were bigger in the lower differentiated squamous cell carcinoma; The mean values of D between any differentiated degree differentiation cervical squamous cell carcinoma had obvious difference (P<0.001); When differentiating high from medium differentiated squamous cell carcinoma, the mean value of ADC had the best diagnostic efficiency; When differentiating poorly from medium differentiated squamous cell carcinoma, the mean value of D had the best diagnostic efficiency; The mean values of f between high and poorly differentiation cervical squamous cell carcinoma had obvious difference (P<0.05); The mean values of D* between any differentiated degree differentiation cervical squamous cell carcinoma had no obvious difference (P>0.05).Conclusion: IVIM and DWI can differentiate cervical cancer and normal cervical tissue, it is important of IVIM in distinguishing different degree of the cervical squamous carcinoma.
[Keywords] Uterine cervical neoplasms;Intravoxel incoherent motion;Diffusion weighted imaging;Magnetic resonance imaging;Pathology

HU Sha-sha Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China

CHEN Xiao-li Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China

LIU Hai-feng Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China

YIN Liang Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China

XU Kai Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China

LEI Jun-qiang* Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China

*Correspondence to: Lei JQ, E-mail: leijq1990@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of Chengguan District Research Projects in Lanzhou, Gansu Province No. 2016-7-10
Received  2017-04-18
Accepted  2017-06-27
DOI: 10.12015/issn.1674-8034.2017.10.011
DOI:10.12015/issn.1674-8034.2017.10.011.

[1]
Jemal A, Bray F, Center MM, et al. Global cancer statistics. CA, 2011, 61(2): 69-90.
[2]
Hu SY, Zheng RS, Zhao FH, et al. Trend analysis of cervical cancer incidence and mortality rates in Chinese women during 1989-2008. Zhongguo Yi Xue Ke Xue Yuan Xue Bao, 2014, 36(2): 119-125.
[3]
Chepovetsky J, Kalir T, Weiderpass E. Clinical applicability of microarray technology in the diagnosis, prognostic stratification, treatment and clinical surveillance of cervical adenocarcinoma. Curr Pharm Des, 2013, 19(8): 1425-1429.
[4]
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. Radiol Med, 2016, 121(11): 838-846.
[5]
Koh DM, Collins DJ. Diffusion-weighted MRI in the body: applications and challenges in oncology. AJR, 2007, 188(6): 1622-1635.
[6]
Le Bihan D, Breton E, Lallemand D, et al. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology, 1986, 161(2): 401-407.
[7]
Le Bihan D, Breton E, Lallemand D, et al. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology, 1988, 168(2): 497-505.
[8]
Motoshima S, Irie H, Nakazono T, et al. Diffusion-weighted MR imaging in gynecologic cancers. J Gynecol Oncol, 2011, 22(4):275-287.
[9]
Kuang F, Ren J, Zhong Q, et al. The value of apparent diffusion coefficient in the assessment of cervical cancer. Eur Radiol, 2013,23(4): 1050-1058.
[10]
Liu Y, Ye Z, Sun H, et al. Grading of uterine cervical cancer by using the ADC difference value and its correlation with microvascular density and vascular endothelial growth factor. Eur Radiol, 2013,23(3): 757-765.
[11]
Togao O, Hiwatashi A, Yamashita K, et al. Differentiation of high-grade and low-grade diffuse gliomas by intravoxel incoherent motion MR imaging. Neuro Oncol, 2016, 18(1): 132-141.
[12]
Woodhams R, Kakita S, Hata H, et al. Diffusion-weighted imaging of mucinous carcinoma of the breast: evaluation of apparent diffusion coefficient and signal intensity in correlation with histologic findings. AJR, 2009, 193(1): 260-266.
[13]
Higano S, Yun X, Kumabe T, et al. Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis. Radiology, 2006, 241(3): 839-846.
[14]
Whittaker CS, Coady A, Culver L, et al. Diffusion-weighted MR imaging of female pelvic tumors: a pictorial review. Radiographics, 2009, 29(3): 759-774.

PREV Comparative analysis imaging manifestations between cystic oligodendroglioma and pleomorphic xanthoastrocytoma
NEXT Research advances in MEMRI for monitoring intracellular Ca2+ change at the early stage of MODS
  



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