Share:
Share this content in WeChat
X
Clinical Article
Rectal cancer on MRI diffusion-kurtosis imaging and correlation between DKI parameters and D2-40, CD31, S-100 and Ki-67 in rectal tumors
WANG Li-li  HE Jian-wei  HUANG Gang  DU Bin-bin  ZHAO Xue-mei  ZHANG Wen-wen  ZHOU Xing  MA Ya-qiong 

DOI:10.12015/issn.1674-8034.2017.05.006.


[Abstract] Objective: To evaluate the potential association between DKI parameters and D2-40, CD31, S-100 and Ki-67 with immunohistochemical analysis of rectal cancer.Materials and Methods: Data from 69 patients who were confirmed by surgical pathology from January to September in 2016. All cases were performed by regular sequence and DKI and DTI (diffusion tensor imaging) examination. The following parameters were acquired from the entire tumors. Respectively as Dax, Dmean, Drad, Fa, Kax, Kmean, Krad. D2-40, CD31, S-100 and Ki-67 were detected by Ben CHMARK-XT machine and Mul-timer system. D2-40 and CD31 were divided into two groups according to the expression of positive or negative and independentsample t test was used for statistical analysis. Receiver operating characteristic curves and Pearson correlation were used for statistical analysis.Results: The levels of MK, K⊥ value in D2-40, CD31 positive group were significant higher than negative group. The differences were statistically significant (P<0.05). Whereas MD in D2- 40, CD31, positive group were significantly lower than negative group, the differences were statistically significant (P<0.05). Pearson correlation analysis showed Ki-67 was significant positive correlation with MK, K⊥, K//parameters, whereas Ki-67 showed negative correlation with D⊥, D//, MD. ROC curve was applied to analysis of DKI parameters in D2-40, CD31 positive group and negative group.Conclusions: MK can reflect the tissue microenvironment including its component organelles, cell membranes, and water compartments, maybe preoperative noninvasive assessment of D2-40, CD31, S-100 and Ki-67 expression level, indirectly reflect the degree of tumor cell proliferation, provide a reference for colorectal malignant degree and prognosis of preoperative evaluation basis.
[Keywords] Diffusion-kurtosis image;Mean kurtosis;Immunohistochemistry;Ki-67 antigen

WANG Li-li Department of Radiology, Gansu Provincial Hospital, Lanzhou 730000, China

HE Jian-wei Department of Radiology, Gansu Provincial Hospital, Lanzhou 730000, China

HUANG Gang* Department of Radiology, Gansu Provincial Hospital, Lanzhou 730000, China

DU Bin-bin Department of Radiology, Gansu Provincial Hospital, Lanzhou 730000, China

ZHAO Xue-mei Department of Radiology, Gansu Provincial Hospital, Lanzhou 730000, China

ZHANG Wen-wen Department of Radiology, Gansu Provincial Hospital, Lanzhou 730000, China

ZHOU Xing Department of Radiology, Gansu Provincial Hospital, Lanzhou 730000, China

MA Ya-qiong Department of Radiology, Gansu Provincial Hospital, Lanzhou 730000, China

*Correspondence to: Huang G, E-mail: keen0999@163.com

Conflicts of interest   None.

Received  2016-11-06
Accepted  2017-04-19
DOI: 10.12015/issn.1674-8034.2017.05.006
DOI:10.12015/issn.1674-8034.2017.05.006.

[1]
戴艳芳, 卢洁, 李坤成. 磁共振扩散峰度成像技术研究进展,医学影像学杂志, 2015, 5(25): 913-915.
[2]
Jensen JH, Helpern JA, Ramani A, et al. Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med, 2005, 53(6): 1432-1440.
[3]
Wu EX, Cheung MM. MR diffusion kurtosis imaging for neural tissue-characte rization. NMR Biomed, 2010, 23(7): 836-848.
[4]
Jensen JH, Helpern JA. MRI quantificcation of non-guassian water diffusion by kurtosis analysis. NMR Biomed, 2010, 23(7): 698-710.
[5]
Van Cauter S, Veraart J, Sijbers J, et a1. Gliomas: Diffusion kurtosis MR imaging in grading. Radiology, 2012, 263(2): 492-501.
[6]
徐蒙莱, 刑春华, 陈宏伟, 等. DKI技术在肝外胆管癌分级中的应用价值,磁共振成像杂志, 2016, 7(1): 34-39.
[7]
Kamagata K, Tomiyama H, Hatano T, et al. A preliminary diffusional kurtosis imaging study of Parkinson disease: comparison with conventional diffusion tensor imaging. Neuroradiology, 2014, 56(3): 251-258.
[8]
Raab P, Hattingen E, Franz K, et al. Cerebral gliomas: diffusional kurtosis imaging analysis of microstructural differences. Radiology, 2010, 254(6): 876-881.
[9]
Raab P, Hattingen E, Franz K, et al. Cerebral gliomas: diffusional kurtosis imaging analysis of microstructural differences. Radiology, 2010, 254(3): 876-881.
[10]
Veraart J, Van Hecke W, Sijbers J. Constrained maximu likelihood estimation of the diffusion kurtosis tensor using Rician noise model. Magn Reson Med, 2011, 66(3): 678-686.
[11]
Sun K, Chen XS, Chai WM, et al. Breast cancer: diffusion kurtosis MR imaging. Diagnostic accuracy and correlation with clinical pathologic factors. Radiology, 2015, 277(1): 46-55.
[12]
Kobayashi S, Koga F, Kajino K, et al. Apparent diffusion coefficient value reflects invasive and proliferative potential of bladder cancer. J Magn Reson Imaging, 2014, 39(1): 172-178.
[13]
Sueta A, Yamamoto Y, Hayashi M, et al. Clinical significance of pretherapeutic Ki67 as a predictive parameter for response to neoadjuvant chemotherapy in breast cancer: is it equally useful across tumor subtypes?Surgery, 2014, 155(5): 927-935.
[14]
Yerushalmi R, Woods R, Ravdin PM, et al. Ki67 in breast cancer: prognostic and predictive potential. Lancet Oncol, 2010, 11(2): 174-183.
[15]
Niikura N, Masuda S, Kumaki N, et al.Prognostic significance of the Ki67 scoringcategories in breast cancer subgroups. Clin Breast Cancer, 2014, 14 (5): 323, e3.
[16]
Sueta A, Yamamoto Y, Hayashi M, et al. Clinical significance of pretherapeutic Ki-67 as a predictive parameter for response to neoadjuvant chemotherapy in breast cancer: is it equally useful across tumor subtypes?Surgery, 2014, 155(5): 927-935.

PREV MRI findings of primary hepatic neuroendocrine tumors: correlation with pathology
NEXT The value of 3.0 T high-spatial-resolution MRI in the fistula classification and internal opening location
  



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