Share：
Share this content in WeChat
X
[Chinese][PDF]764104
• Experience Exchanges •
The correlation between intravoxel incoherent motion and microvessel density and pathological differentiation of cervical cancer
RAN Yiting  BEI Guiguang 

Cite this article as: Ran YT Bei GG. The correlation between intravoxel incoherent motion and microvessel density and pathological differentiation of cervical cancer[J]. Chin J Magn Reson Imaging, 2021, 12(7): 72-76. DOI:10.12015/issn.1674-8034.2021.07.015.


[Abstract] Objective To analyse the value of intravoxel incoherent motion (IVIM) diffusion weighted imaging and histological microvessel density (MVD) in grading of cervical cancer and to investigate their correlation. Materials andMethods Twenty-six patients with pathologically proved cervical cancer were analysed retrospectively. They were divided into G1 group (highly differentiated), G2 group (moderately differentiated) and G3 group (poorly differentiated) according to pathology grading of cervical cancer. All patients underwent IVIM MRI. The IVIM parameters (ADC, D, D*, f, fD*) were assessed. And these parameters were correlated with MVD. The MVD were determined with the CD34 stain. Kruskal-Wallis H test was used to compare differences of parameters among three groups. Spearman's rank correlation analysis was used to evaluate the correlation of parameters and pathology grading and the correlation between IVIM parameters and MVD.Results IVIM parameters, like D value and D* value, showed statistical difference among three groups (P=0.009、P=0.003). Pairwise comparison showed that D had significant difference (P＜0.05). Comparing with G1 and G3, G2 and G3, D* value showed significant difference. D value decreased with the increase of differentiation level (that is, the lowest median value of D value in the low-differentiation group). While the value of D* decreased gradually with the increase of differentiation level. The MVD was statistically significant among the three groups (P＜0.05). The correlation between IVIM parameters D* value and MVD was statistically significant (P＜0.05), showing a linear correlation (r2=-0.554).Conclusions IVIM parameters (D、D*) and MVD have certain diagnostic value for cervical cancer grading. Besides, D* might be used in the noninvasive evalution of MVD.
[Keywords] cervical cancer；diffusion weighted imaging；intravoxel incoherent motion；microvessel density

RAN Yiting1, 2   BEI Guiguang3*  

1 Department of Radiology, Northern Theater Command General Hospital of China Medical University, Shenyang 110812, China

2 Chengdu Women's and Children's Central Hospital, University of Electroni Science and Technology of China,Chengdu 611731, China

3 Department of Radiology, General Hospital of Northern Theater Command, Shenyang 110812, China

Bei GG, E-mal: 2023477349@qq.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Key Project of Natural Science Foundation of Liaoning Province (No. 20170540916).
Received  2021-02-25
Accepted  2021-05-13
DOI: 10.12015/issn.1674-8034.2021.07.015
Cite this article as: Ran YT Bei GG. The correlation between intravoxel incoherent motion and microvessel density and pathological differentiation of cervical cancer[J]. Chin J Magn Reson Imaging, 2021, 12(7): 72-76. DOI:10.12015/issn.1674-8034.2021.07.015.

1
Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. Cancer J Clin, 2018, 68(6): 394-424. DOI: 10.3322/caac.21609.
2
Li XS, Wang P, Li DC, et al. Intravoxel incoherent motion MR imaging of early cervical carcinoma: correlation between imaging parameters and tumor-stroma ratio[J]. Eur Radiol, 2018, 28(5): 1875-1883. DOI: 10.1007/s00330-017-5183-3.
3
Xiang SF, Gao YY, Zhang LH, et al. Grading of uterine cervical neoplasms: a pilot study with small field of view intravoxel incoherent motion MRI technology[J]. Chin J Med Imaging, 2015, 23(3): 219-221. DOI: 10.3969/j.issn.1005-5185.2015.03.018.
4
Zhou Y, Liu J, Liu C. 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.
5
Agarwal PS, Sen AK, Bhardwaj M, et al. Study of Proliferating cell nuclear antigen expression and angiogenesis in urothelial neoplasms: correlation with tumor grade and stage[J]. Urol Ann, 2018, 10(0974-7796): 2. DOI: 10.4103/UA.UA_167_17.
6
Jain R, Griffith B, Alotaibi F, et al. Glioma angiogenesis and perfusion imaging: understanding the relationship between tumor blood volume and leakiness with increasing glioma grade[J]. AJNR Am J Neuroradiol, 2015, 36(11): 2030-2035. DOI: 10.3174/ajnr.A4405.
7
Takeuchi H, Tanaka M, Tanaka A, et al. Predominance of M2-polarized. macrophages in bladder cancer affects angiogenesis, tumor grade and invasiveness[J]. Oncol Lett, 2016, 11(5): 3403-3408. DOI: 10.3892/ol.2016.4392.
8
Weidner N. Intratumor microvessel density as a prognostic factor in. cancer[J]. Am J Pathol, 1995, 147(1): 9-19. DOI: 10.1007/BF02739843.
9
Dappa E, Elger T, Hasenburg A, et al. The value of advanced MRI techniques in the assessment of cervical cancer: a review[J]. Insights Imaging, 2017, 8(5): 471-481. DOI: 10.1007/s13244-017-0567-0DOI:10.1007/s13244-017-0567-0.
10
Wang PP, Yue YY, Dong JN, et al. Value of intravoxel incoherent motion diffusion-weighted. imaging in distinguishing poorly and moderately differentiated rectal adenocarcinomas[J]. Diagn Imaging Int Radiol, 2019, 28(3): 175-180. DOI: 10.3969/j.issn.1005-8001.2019.03.003.
11
Iima M, Bihan DL. Clinical intravoxel incoherent motion and diffusion MR imaging: past, present, and Future[J]. Radiology, 2016, 278(1): 13-32. DOI: 10.1148/radiol.2015150244.
12
Wang SB, Zhao ZH, Wang C, et al. Study on the evaluation of microcirculation and. pathological grading of cervical cancer by dynamic enhanced MRI and quantitative perfusion parameters[J]. J Med Imaging, 2021, 31(02):297-301.
13
Du S, Sun H, Gao S, et al. Relationship between F-FDG PET metabolic parameters and MRI intravoxel incoherent motion (IVIM) histogram parameters and their correlations with clinicopathological features of cervical cancer: evidence from integrated PET/MRI[J]. Clin Radiol, 2019, 74(3): 178-186. DOI: 10.1016/j.card.2018.11.0031.
14
Federau C, Meuli R, O'Brien K, et al. Perfusion measurement in brain. gliomas with intravoxel incoherent motion MRI[J]. AJNR Am J Neuroradiol, 2014, 35(2): 256-262. DOI: 10.3174/ajnr.A3686.
15
Li NY, Gao F, Dong JN, et al. Correlation study between parameters of intravoxel incoherent motion diffusion-weighted imaging and pathologic differentiation of cervical squamous carcinoma[J]. Chin Comput Med Imaging, 2018, 24(6): 515-520. DOI: 10.3969/j.issn.1006-5741.2018.06.014.
16
Li S, Xu HX, Wu CT, et al. Angiogenesis in pancreatic cancer: current research status and clinical implications[J]. Angiogenesis, 2019, 22(1): 15-36. DOI: 10.1007/s10456-018-9645-2.
17
Chen Y, Cao XF, Zeng SY. The clinical and histopathological analysis study of cervical. squamous carcinoma stage IA1[J]. Chin J Clin Rational Drug Use, 2018, 11(14): 18-19. DOI: CNKI:SUN:PLHY.0.2018-14-008.
18
Chen J, Chen C, Xia C, et al. Quantitative free-breathing dynamic contrast-enhanced MRI in hepatocellular carcinoma using gadoxetic acid: correlations with Ki67 proliferation status, histological grades, and microvascular density[J]. Abdom Radiol (NY), 2018, 43(6): 1393-1403. DOI: 10.1007/s00261-017-1320-3.
19
Li Y, Zhang DY, Yan EM, et al. Expression of D2-40, CD34 and VEGF and its clinical significance[J]. Chin J Clin Exper Pathol, 2010, 26(2): 231-233. DOI: 10.3969/j.issn.1001-7399.2010.02.026.
20
Ntellas P, Dadouli K, Perivoliotis K , et al. Microvessel density and impact of angiogenesis on survival of resected pancreatic cancer patients a systematic review and Meta-analysis[J]. Pancreas, 2019, 48(2): 233-241. DOI: 10.1097/mpa.0000000000001237.
21
Liu Y, Sun HR, Bai RJ. Grading of uterine cervical cancer by using the ADC difference value and its correlation with microvascular density and vascular endothelial growth factor[J]. Eur Radiol, 2013, 23(3): 757-765. DOI: 10.1007/s00330-012-2657-1.
22
Feng XM, Pang Y, Liang JH. Expressions and clinical significances of P53, Ki-67 and CD34. in the cervical lesion[J]. Anti-tumor Pharmacy, 2015 5(6): 449-453. DOI: 10.3969/j.issn.2095-1264.2015.06.011.
23
Lee HJ, Rha SY, Chung YE, et al. Tumor perfusion-related parameter of. diffusion-weighted. magnetic resonance imaging: correlation with histological microvessel density[J]. Magn Reson Med, 2014, 71(4): 1554-1558. DOI: 10.1002/mrm.24810.

PREV Value of T2WI-FS based radiomics features in the diagnosis of cervical cancer metastasis and lymph vascular space invasion
NEXT MRI features and pathological mechanism of solitary plasmacytoma in the spine
  


LINK


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