Share：
Share this content in WeChat
X
[Chinese][PDF]101792
• Clinical Article •
Multiple exponential models of diffusion weighted imaging in differentiating hepatocellular carcinoma from hepatic hemangioma
HAN Zheng  LIU Ai-lian  LIU Ze-qun  CHEN Li-hua  WANG He-qing  SUN Mei-yu  SONG Qing-wei 

DOI:10.12015/issn.1674-8034.2017.07.008.


[Abstract] Objective: To evaluate the feasibility of the monoexponential model of diffusion-weighted imaging (DWI), biexponential and stretched-exponential models of intravoxel incoherent motion (IVIM) and to compare the optimization in these models in differentiating hepatocellular carcinoma (HCC) from hepatic hemangioma (HH).Materials and Methods: Sixty-six patients under MR liver scanning were retrospectively enrolled in our hospital. All the patients were performed MRI exams on a 1.5 T scanner. For each region of interested (ROI), the mean values of DWI (ADC), eDWI (Standard ADC, D-mono, D*-mono, fmono, D-Bi、D*-Bi、fBi) and HB DWI (DDC, α) were measured.Results: The ADC, Standard ADC, D-mono, D*- mono, fmono, D-Bi, D*-Bi, fBi, DDC values of HCC and HH were statistically significant (P<0.05). The area under the ROC curve of ADC, Standard ADC, D-mono, fmono, D-Bi were higher than 0.9. The differential diagnostic efficiency with Standard ADC were significantly better than ADC. The differential diagnostic efficiency with ADC was significantly better than D*-Bi, fBi, HB DDC.Conclusions: The values of ADC, Standard ADC from monoexponential model, D-mono, fmono, D-Bi from double monoexponential model have favorable effective functions for the diagnosis, Standard ADC from monoexponential model with multiple b values were significantly better than ADC from monoexponential model with single b value in differential diagnosis of hepatocellular carcinoma and hepatic hemangioma.
[Keywords] Liver neoplasms；Diffusion magnetic resonance imaging；Intravoxel incoherent motion；Biexponential model；Stretched-exponential model

HAN Zheng Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116000, China

LIU Ai-lian* Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116000, China

LIU Ze-qun Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116000, China

CHEN Li-hua Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116000, China

WANG He-qing Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116000, China

SUN Mei-yu Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116000, China

SONG Qing-wei Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116000, China

*Correspondence to: Liu AL, E-mail: cjr.liuailian@vip.163.com

Conflicts of interest   None.

Received  2017-02-07
Accepted  2017-04-18
DOI: 10.12015/issn.1674-8034.2017.07.008
DOI:10.12015/issn.1674-8034.2017.07.008.

[1]
Xu P, Zeng M, Liu K, et al. Microvascular invasion in small hepatocellular carcinoma: is it predictable with preoperative diffusion-weighted imaging. J Gastroenterol Hepatol, 2014, 29(2): 330-336.
[2]
Bajenaru N, Balaban V, Săvulescu F, et al. Hepatic hemangioma (review). J Med Life, 2015, 8( DOI: ): 4-11.
[3]
Ministry of Health of the People's Republic of China. Diagnosis, management, and treatment of hepatocellular carcinoma (V2011). J Clin Hepatol, 2012, 20(6): 419-426.中华人民共和国卫生部．原发性肝癌诊疗规范．2011版．中华肝脏病杂志，2012，20(6)：419-426．
[4]
Luo Y, Lu W, Jin YK. The diagnosis and therapy of hepatic cavernous hemangioma. Med Recapit, 2006, 12(7): 416-418.罗雁，陆伟，金玉坤．肝血管瘤的诊断与治疗．医学综述，2006，12(7)：416-418．
[5]
Shinmura R, Matsui O, Kobayashi S, et al. Cirrhotic nodules: association between MR imaging signal intensity and intranodular blood supply. Radiology, 2005, 237(2): 512-519.
[6]
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.
[7]
Luciani A, Vignaud A, Cavet M, et al. Liver cirrhosis: intravoxel incoherent motion MR imaging: pilot study. Radiology, 2008, 249(3): 891-899.
[8]
Bennett KM, Hyde JS, Schmainda KM. Water diffusion heterogeneity index in the human brain is insensitive to the orientation of applied magnetic field gradients. Magn Reson Med, 2006, 56(2): 235-239.
[9]
Kevin MB, Kathleen MS, Raoqiong B, et al. Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential model. Magn Reson Med, 2003, 50(4): 727-734.
[10]
Yamada I, Aung W, Himeno Y, et al. Diffusion coefficients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging. Radiology, 1999, 210(3): 617-623.
[11]
Wirestam R, Borg M, Brockstedt S, et al. Perfusion-related parameters in intravoxel incoherent motion MR imaging compared with CBV and CBF measured by dynamic. Acta Radiol, 2001, (42): 123-128.
[12]
Ichikawa S, Motosugi U, Ichikawa T, et al. Intravoxel incoherent motion imaging of focal hepatic lesions．J Magn Reson Imaging, 2013, 37(6): 1371-1376.
[13]
Wei SL, Ye F, Yu XD, et al. Intravoxel incoherent motion diffusion weighted imaging in differentiation between benign and malignant lesions of live. Radiol Pract, 2016, 31(4): 364-368.韦素岚，叶枫，余小多，等．体素内不相干运动DWI对肝脏良恶性病变的诊断价值．放射学实践，2016，31(4)：364-368．
[14]
Taouli B, Vilgrain V, Dumont E, et al. Evaluation of liver diffusion isotropy and characterization of focal hepatic lesions with two single-shot echo-planar MR imaging sequences: prospective study in 66 patients. Radiology, 2003, 226(1): 71-78.
[15]
Bruegel M, Holzapfel K, Gaa J, et al. Characterization of focal liver lesions by ADC measurements using a respiratory triggered diffusion-weighted single-shot echo-planar MR imaging technique. Eur Radiol, 2008, 18(3):477-485.
[16]
Yoon JH, Lee JM, Yu MH, et al. Evaluation of hepatic focal lesions using diffusion-weighted MR imaging: comparion of apparent difuusion coefficient and intravoxel incoherent motion-derived parameters. J Magn. Imaging, 2014, 39(2): 276-285.

PREV Quantitative MR imaging study of association between lumbar vertebral endplate Modic changes and intervertebral disc degeneration
NEXT MitoQ protects rodent kidneys from ischemia-reperfusion injury: observations with DWI
  


LINK


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