Share：
Share this content in WeChat
X
[Chinese][PDF]84390
• Clinical Article •
Application value of DKI in grading of extrahepatic cholangiocarcinoma
XU Meng-lai  XING Chun-hua  CHEN Hong-wei  CUI Xing-yu 

DOI:10.12015/issn.1674-8034.2016.01.007.


[Abstract] Objective: To evaluate the application value of diffusion kurtosis imaging (DKI) based D, K parameters in grading extrahepatic cholangiocarcinoma (EHCC) and compare their diagnostic potential.Materials and Methods: Thirty-five consecutive patients surgically resected and pathologically confirmed EHCC were included in this study. All patients underwent upper abdomen magnetic resonance imaging, including traditional magnetic resonance imaging and diffusion kurtosis imaging. The DKI derived parameters D, K were calculated by using post-processing software. Compared with histologic grade (well-differentiated, moderately differentiated and poorly differentiated adenocarcinoma), evaluating the association and compare the diagnostic potential of parameters by using receiver operating characteristic (ROC) analysis.Results: Thirty-five cases of EHCC include: grade Ⅰ (well-differentiated adenocarcinoma) 11 cases, grade Ⅱ (moderately differentiated adenocarcinoma) 11 cases and grade Ⅲ (poorly differentiated adenocarcinoma) 13 cases. Grade Ⅰ group lesions parameter D, K values were (1.56±0.08) ×10-3 mm2/s, 0.38±0.07. Grade Ⅱ group were (1.47±0.09) ×10-3 mm2/s, 0.51±0.08. Grade Ⅲ group were (1.39±0.07) ×10-3 mm2/s, 0.66±0.08. D and K values were significantly different in well, moderately and poorly differentiated adenocarcinoma (P<0.001, <0.001). With the reduction of histological differentiation degree, D value decreased, while K value increased (r=0.672, 0.848). ROC analysis demonstrated a higher area under the ROC curve value for K than for D for differentiating different pathological grade of EHCC (0.860 VS 0.951).Conclusions: K value of EHCC showed significantly diagnostic performance in differentiating different grade EHCC, and are helpful of pathologic degree in preoperative diagnosis.
[Keywords] Cholangiocarcinoma；Bile ducts, extrahepatic；Magnetic resonance imaging；Pathology

XU Meng-lai Department of Radiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi 214023, China

XING Chun-hua Department of Radiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi 214023, China

CHEN Hong-wei* Department of Radiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi 214023, China

CUI Xing-yu Department of Radiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi 214023, China

*Correspondence to: Chen HW, E-mail: chw6312@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This project was supported by Jiangsu Province Nature Science Foundation No. BK2012541
Received  2015-07-16
Accepted  2015-09-10
DOI: 10.12015/issn.1674-8034.2016.01.007
DOI:10.12015/issn.1674-8034.2016.01.007.

[1]
Jensen JH, Helpern JA. Ramani A, et al. diffusion kurtosis imaing: the quantification of non-Gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med, 2005, 53(6): 1432-1440.
[2]
Jensen JH, Helpern JA. MRI quantification of non-Gaussian water diffusion by kurtosis analysis. NMR Biomed, 2010, 23(7): 698-710.
[3]
Wu EX, Cheung MM. MR diffusion kurtosis imaging for neural tissue characterization. NMR Biomed, 2010, 23(7): 836-848.
[4]
Rosenkrantz AB, Sigmund EE, Winnick A, et al. Assessment of hepatocellular carcinoma using apparent diffusion coefficient and diffusion kurtosis indices: preliminary experience in fresh liver explants. Magn Reson Imaging, 2012, 30(10): 1534-1540.
[5]
Pentang G, Lanzman RS, Heusch P, et al. Diffusion kurtosis imaging of the human kidney: a feasibility study. Magn Reson Imaging, 2014, 32(5): 413-420.
[6]
Gurses B, Kilickesmez O, Tasdelen N, et al. Diffusion tensor imaging of the kidney at 3 Tesla MRI: normative values and repeatability of measurements in healthy volunteers. Diagn Interv Radiol, 2011, 17(4): 317-322.
[7]
Quentin M, Pentang G, Schimmöller L, et al. Feasibility of diffusional kurtosis tensor imaging in prostate MRI for the assessment of prostate cancer: preliminary results. Magn Reson Imaging, 2014, 32(7): 880-885.
[8]
Filli L, Wurnig M, Nanz D, et al. Whole-body diffusion kurtosis imaging: initial experience on non-gaussian diffusion in various organs. Invest Radiol, 2014, 49(12): 773-778.
[9]
Gong NJ, Wong CS, Chan CC, et al. Correlations between microstructural alterations and severity of cognitive deficiency in Alzheimer’s disease and mild cognitive impairment: a diffusional kurtosis imaging study. Magn Reson Imaging, 2013, 31(5): 688-694.
[10]
Van Cauter S, Veraart J, Sijbers J, et a1. Gliomas: diffusion kurtosis MR imaging in grading. Radiology, 2012, 263(2): 492-501.
[11]
Raab P, Hattingen E, Franz K, et a1. Cerebral gliomas: diffusional kurtosis imaging analysis of microstructural differences. Radiology, 2010, 254(3): 876-881.
[12]
丁玖乐, 邢伟, 陈杰, 等. 肾透明细胞癌多b值DWI的单指数函数与双指数函数分析比较. 磁共振成像, 2013, 4(4): 266-270.
[13]
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.
[14]
Karampinos DC, King KF, Sutton BP, et al. Intravoxel partially coherent motion technique: characterization of the anisotropy of skeletal muscle microvasculature. J Magn Reson Imaging, 2010, 31(4): 942-953.
[15]
党玉雪, 王晓明. 磁共振新技术DKI和IVIM在中枢神经系统的研究现状. 磁共振成像, 2015, 6(2): 145-150.
[16]
Rosenkrantz AB, Prabhu V, Sigmund EE, et al. Utility of diffusional kurtosis imaging as a marker of adverse pathologic outcomes among prostate cancer active surveillance candidates undergoing radical prostatectomy. AJR Am J Roentgenol, 2013, 201(4): 840-846.
[17]
Pentang G, Lanzman RS, Heusch P, et al. Diffusion kurtosis imaging of the human kidney: feasibility study. Magn Reson Imaging, 2014, 32(5): 413-420.
[18]
谭艳, 张辉, 王效春, 等. 磁共振扩散峰度成像在脑星形细胞瘤分级的初步研究．中西医结合心脑血管病杂志, 2014, 12(11): 1351-1352.
[19]
Rosenkrantz AB, Sigmund EE, Johnson G, et al. Prostate cancer: feasibility and preliminary experience of a diffusional kurtosis model for detection and assessment of aggressiveness of peripheral zone cancer. Radiology, 2012, 264(1): 126-135.
[20]
Abdel Razek AA, Gaballa G, Elhawarey G, et al. Characterization of pediatric head and neck masses with diffusion-weighted MR imaging. Eur Radiol, 2009, 19(1): 201-208.

PREV The value of diffusion-weighted MRI in the preoperative diagnosis and staging of tongue carcinoma
NEXT Specimens of colorectal cancer in vitro MRI pathological control study for signs of lymph node metastasis
  


LINK


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