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Clinical Article
Investigation of correlation between IVIM and DCE-MRI on uterine cervical carcinoma
LIN Meng  ZHANG Qi  KONG Yue  YE Feng  YU Xiao-duo  OUYANG Han 

DOI:10.12015/issn.1674-8034.2018.05.006.


[Abstract] Objective: This study was aimed to analyze the correlation of perfusion parameters between the IVIM and DCE-MRI models to investigate the feasibility of perfusion evaluation by IVIM on uterine cervical carcinoma (UCC), and compare the difference of those perfusion parameters between squamous cell carcinoma (SCC) and adenocarcinoma (AdC).Materials and Methods: Fifty-three patients with newly diagnosed uterine cervical carcinoma were collected in our hospital from April 2016 to June 2017 and performed MRI examination before treatment, including intravoxel incoherent motion (IVIM) and dynamic contrasted-enhanced MRI (DCE-MRI) sequence. Perfusion parameters including D*, f, and fD* (f multiple by D*) derived from IVIM, Ktrans, Kep and Ve derived from DCE-MRI were calculated, and analyzed the correlation between those two models on UCC, SCC and AdC groups respectively using Spearman’s correlation. Independent sample t test and t’ test were conducted to compare the difference of those perfusion parameters between SCC and AdC, and ROC was used to compare the area under the curve (AUC), and analyze the cut-off of the most meaningful parameter and diagnostic efficiency.Results: D* and fD* were slightly and moderately positively correlated with all the three parameters of DCE-MRI on all UCC (r: 0.357—0.672), whereas f had no correlation with parameters of DCE-MRI. D* correlated positively with Ktrans highly on AdC (r=0.900) and moderately on SCC (r=0.669). AdC had higher f, Ktrans and Kep value than SCC (P: 0.002—0.013). With the cut-off of the f value less than 0.29 to diagnosis of AdC, the sensitivity, specificity and accuracy were 63.64%, 92.86% and 86.79%, respectively.Conclusions: Positive correlations were existed between perfusion parameters by IVIM and those of DCE-MRI on UCC, suggesting that IVIM could provide information about tumor perfusion. IVIM also was helpful to identify different pathological types of UCC.
[Keywords] Uterine cervical neoplasms;Magnetic resonance imaging

LIN Meng Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

ZHANG Qi Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

KONG Yue Department of Imaging, Beijing Shihua Acupotomology Hospital of traditional Chinese Medicine, Beijing 100021, China

YE Feng Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

YU Xiao-duo* Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

OUYANG Han Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

*Correspondence to: Yu Xiao-Duo, E-mail: yxd136@139.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was supported by the PUMC Youth Fund, Fundamental Research Funds for the Central Universities No. 3332016029
Received  2017-11-21
Accepted  2017-12-27
DOI: 10.12015/issn.1674-8034.2018.05.006
DOI:10.12015/issn.1674-8034.2018.05.006.

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