Share：
Share this content in WeChat
X
[Chinese][PDF]82187
• Clinical Article •
Study on biological characteristics of rectal cancer based on magnetic resonance diffusion kurtosis imaging
WANG Lili  LI Shenghu  HUANG Gang  XU Huaxin  CUI Yaqiong  MA Xiaomei  CUI Lanlan 

Cite this article as: Wang LL, Li SH, Huang G, et al. Study on biological characteristics of rectal cancer based on magnetic resonance diffusion kurtosis imaging. Chin J Magn Reson Imaging, 2020, 11(1): 35-39. DOI:10.12015/issn.1674-8034.2020.01.008.


[Abstract] Objective: Based on magnetic resonance diffusion kurtosis imaging, the relationship between staging, differentiation, histological type, p53 and HER-2 was investigated.Materials and Methods: A retrospective analysis of 63 cases of rectal cancer patients from 2017 to 2019, MRI examination within one week before surgery, the examination sequence contain DKI imaging and the data obtained were imported into special software for analysis. The DKI parameter and postoperative pathological biological characteristics were obtained for statistical analysis. One-way ANOVA was used to compare the relationship between DKI parameters in histologic type, tumor stage, degree of differentiation, p53 and HER-2 group. The Kruskal-Wallis H test analyzes whether the biological characteristics of rectal cancer have an effect on DKI parameter. Spearman correlation coefficient analysis biological relationship and DKI parameter. The ROC curve was used to analyze the diagnostic efficacy of DKI parameter for p53 and HER-2 negative or positive, P<0.05 was considered statistically significant.Results: (1) The histological type, tumor stage and degree of differentiation have different effects on DKI parameter. (2) MK and rectal cancer stage and differentiation were statistically significant, positively correlated with stage, and negatively correlated with degree of differentiation (r=0.285, -0.296). MD was negatively correlated with histological type (r=-0.375). There was a positive correlation between FA and p53, degree of differentiation (r=0.254, 0.256), and a negative correlation with rectal stage (r=-0.315, -0.399). (3) The area under the FA prediction p53 performance curve was 0.651, indicating a moderate diagnostic efficiency with a 95% confidence interval (0.502, 0.800).Conclusions: Significant correlations were found between the magnetic resonance diffusion kurtosis imaging and the biological characteristics of rectal cancer, which maybe guide for the prognosis and treatment options of rectal cancer.
[Keywords] rectal neoplasms；magnetic resonance imaging；immunohistochemistry

WANG Lili Department of radiology, Gansu Provincial Hospital, Lanzhou 730000, China

LI Shenghu* Department of radiology, Wuxi Hospital of traditional Chinese medicine, Jiangsu Province, Wuxi 214000, China

HUANG Gang Department of radiology, Gansu Provincial Hospital, Lanzhou 730000, China

XU Huaxin Department of radiology, Gansu Provincial Hospital, Lanzhou 730000, China

CUI Yaqiong Department of radiology, Gansu Provincial Hospital, Lanzhou 730000, China

MA Xiaomei Department of radiology, Gansu Provincial Hospital, Lanzhou 730000, China

CUI Lanlan Department of radiology, Gansu Provincial Hospital, Lanzhou 730000, China

*Correspondence to: Li SH, E-mail: shenghuli@foxmail.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This article is funded by scientific research project of fund for Scientific and technological Development in Lanzhou City, Gansu Province No.16GSSY1-7 This article is funded by scientific research project of scientific research fund of gansu provincial hospital No. 2015-ZD-21
Received  2019-08-01
Accepted  2019-11-21
DOI: 10.12015/issn.1674-8034.2020.01.008
Cite this article as: Wang LL, Li SH, Huang G, et al. Study on biological characteristics of rectal cancer based on magnetic resonance diffusion kurtosis imaging. Chin J Magn Reson Imaging, 2020, 11(1): 35-39. DOI:10.12015/issn.1674-8034.2020.01.008.

[1]
Lee YC, Hsieh CC, Chuang JP. Prognostic significance of partial tumor regression after preoperative chemoradiotherapy for rectal cancer: a meta-analysis. Dis Colon Rectum, 2013, 56(9): 1093-1101.
[2]
Andrade NR, Oshima CT, Gomes TS, et al. Imunoexpression of Ki-67 and p53 in rectal cancer tissue after treatment with neoadjuvant chemoradiation. Gastrointest Cancer, 2011, 42(1): 34-39.
[3]
García-Figueiras R, Baleato-González S, Padhani AR, et al. How clinical imaging can assess cancer biology. Insights Imaging, 2019, 10.(1): 28.
[4]
Le Bihan D. Apparent diffusion coefficient and beyond: what diffusion MR imaging can tell us about tissue structure. Radiology, 2013, 268(2): 318-322.
[5]
Lewis S, Dyvorne H, Cui Y, et al. Diffusion-weighted imaging of the liver: techniques and applications. Magn Reson Imaging Clin N Am, 2014, 22(3): 373-395.
[6]
Rosenkrantz AB, Padhani AR, Chenevert TL, et al. Body diffusion kurtosis imaging: Basic principles, applications, and considerations for clinical practice. Magn Reson Imaging, 2015, 42(5): 1190-1202.
[7]
《胃癌HER-2检测指南》编写组.胃癌HER-2检测指南（2011版)．中华病理学杂志, 2011, 40(8): 553-557.
[8]
Sun Y, Tong T, Cai S, et al. Apparent diffusion coefficient (ADC) value: a potential imaging biomarker that reflects the biological features of rectal cancer. PLoS One, 2014, 9(10): e109371.
[9]
Zhu L, Pan Z, Ma Q, et al. Diffusion kurtosis imaging study of rectal adenocarcinoma associated with histopathologic prognostic factor: preliminary findings. Radiology, 2017, 284(1): 66-76.
[10]
Schurink N, Lambregts D, Beets-Tan R. Diffusion-weighted imaging in rectal cancer: current applications and future perpectives. Br J Radiol, 2018, 92(1096): 20180655.
[11]
Yu J, Dai X, Zou HH, et al. Diffusion kurtosis imaging in identifying the malignancy of lymph nodes during the primary staging of rectal cancer. Colorectal Dis, 2018, 20(2):116-125.
[12]
Wen Z, Chen Y, Yang X, et al. Application of magnetic resonance diffusion kurtosis imaging for distinguishing histopathologic subtypes and grades of rectal carcinoma. Cancer imaging, 2019, 19 (1): 8.
[13]
Wei Y, Nan M, Jing W, et al. Comparative analysis of the value of diffusion kurtosis imaging and diffusion-weighted imaging in evaluating the histological features of endometrial cancer. Cancer Imaging, 2019, 19(1): 9.
[14]
Zhang J, Suo S, Liu G, et al. Comparison of monoexponential, biexponential, stretched-exponential, and kurtosis models of diffusion-weighted imaging in differentiation of renal solid masses. Korean J Radiol, 2019, 20(5): 791-800.
[15]
蒋杰，周立绥，曲源，等．双指数模型扩散成像及扩散峰度成像在胶质瘤分级中的应用．临床放射学杂志, 2019, 38(1), 47-51.
[16]
王莉莉，和健伟，黄刚，等．直肠癌弥散峰度成像与D2-40、CD31、S-100及肿瘤细胞增殖指数的相关性研究．磁共振成像, 2017, 8(5): 349-353.
[17]
Torabizadeh Z, Nosrati A, Tahvildari S. Human epidermal growth factor receptor expression in colorectal cancer and its relationship with clinicopathological characteristics. Middle East J Dig Dis, 2016, 8(1): 24-30.

PREV The accuracy of non enhanced MRA in evaluating the relationship between central lung cancer and pulmonary hilar and mediastinal vessels
NEXT The diagnostic value of MR enterography and apparent diffusion coefficient in diffusion-weighted imaging for assessment of activity in Crohn disease
  


LINK


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