Share:
Share this content in WeChat
X
Review
Research progress of intravoxel incoherent motion in tumor
HU Sha-sha  CHEN Xiao-li  LIU Hai-feng  YIN Liang  XU Kai  LEI Jun-qiang 

DOI:10.12015/issn.1674-8034.2017.11.012.


[Abstract] Intravoxel incoherent motion (IVIM) is based on diffusional weight imaging (DWI), IVIM relevant parameters are obtained from bi-exponential model, they can represent pure molecular diffusion and incoherent microcirculation within the voxel at the same time in the tissue without the use of contrast agents. In recent years, IVIM gradually applied to diseases of different systems, especially in the cancer of brain and liver had achieved some initial results, which displayed excellent clinical value. This article proposed to summary technical principles and application advances in tumors of IVIM.
[Keywords] Neoplasms;Magnetic resonance imaging

HU Sha-sha Department of Radiology, First hospital of Lanzhou University, Lanzhou 730000, China

CHEN Xiao-li Department of Radiology, First hospital of Lanzhou University, Lanzhou 730000, China

LIU Hai-feng Department of Radiology, First hospital of Lanzhou University, Lanzhou 730000, China

YIN Liang Department of Radiology, First hospital of Lanzhou University, Lanzhou 730000, China

XU Kai Department of Radiology, First hospital of Lanzhou University, Lanzhou 730000, China

LEI Jun-qiang* Department of Radiology, First hospital of Lanzhou University, Lanzhou 730000, China

*Corresponding to: Lei JQ, E-mail: leijq1990@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  Chengguan District Research Projects of Lanzhou, Gansu Province No. 2016-7-10
Received  2017-04-17
Accepted  2017-10-09
DOI: 10.12015/issn.1674-8034.2017.11.012
DOI:10.12015/issn.1674-8034.2017.11.012.

[1]
Le Bihan D, Breton E, Lallemand D, et al. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology, 1986, 161(2): 401-407.
[2]
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.
[3]
Koh DM, Collins DJ, Orton MR. Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges. AJR Am J Roentgenol, 2011, 196(6): 1351-1361.
[4]
Wu WC, Yang SC, Chen YF, et al. Simultaneous assessment of cerebral blood volume and diffusion heterogeneity using hybrid IVIM and DK MR imaging: initial experience with brain tumors. Eur Radiol, 2017, 27(1): 306-314.
[5]
Yamashita K, Hiwatashi A, Togao O, et al. Diagnostic utility of intravoxel incoherent motion mr imaging in differentiating primary central nervous system lymphoma from glioblastoma multiforme. J MRI. 2016, 44(5): 1256-1261.
[6]
Dolecek TA, Propp JM, Stroup NE, et al. CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2005-2009. Neuro Oncol, 2012, 14(Suppl 5): v1-v49.
[7]
Togao O, Hiwatashi A, Yamashita K, et al. Differentiation of high-grade and low-grade diffuse gliomas by intravoxel incoherent motion MR imaging. Neuro Oncol, 2016, 18(1): 132-141.
[8]
Siegel RL, Miller KD, Jemal A. Cancer statistics, 2017. CA Cancer J Clin, 2017, 67(1): 7-30.
[9]
Yuan M, Zhang YD, Zhu C, et al. Comparison of intravoxel incoherent motion diffusion-weighted MR imaging with dynamic contrast-enhanced MRI for differentiating lung cancer from benign solitary pulmonary lesions. J Magn Reson Imaging, 2016, 43(3):669-679.
[10]
Deng Y, Li X, Lei Y, et al. Use of diffusion-weighted magnetic resonance imaging to distinguish between lung cancer and focal inflammatory lesions: a comparison of intravoxel incoherent motion derived parameters and apparent diffusion coefficient. Acta radiologica, 2016, 57(11): 1310-1317.
[11]
陈媛媛,朱绍成,韩倩,等.磁共振体素内不相干运动扩散加权成像在肺癌所致肺不张影像诊断中的初步应用.现代生物医学进展, 2016, 16(4): 734-737.
[12]
Jemal A, Bray F, Center MM, et al. Global cancer statistics. CA Cancer J Clin, 2011, 61(2): 69-90.
[13]
Klauss M, Mayer P, Maier-Hein K, et al. IVIM-diffusion-MRI for the differentiation of solid benign and malign hypervascular liver lesions-Evaluation with two different MR scanners. Eur J Radiol, 2016, 85(7): 1289-1294.
[14]
Watanabe H, Kanematsu M, Goshima S, et al. Characterizing focal hepatic lesions by free-breathing intravoxel incoherent motion MRI at 3.0 T. Acta radiol, 2014, 55(10): 1166-1173.
[15]
Wang M, Li X, Zou J, et al. Evaluation of Hepatic Tumors using intravoxel incoherent motion diffusion-weighted MRI. Brain Imaging Behav, 2016, 22(1): 702-709.
[16]
Klauss M, Maier-Hein K, Tjaden C, et al. IVIM DW-MRI of autoimmune pancreatitis: therapy monitoring and differentiation from pancreatic cancer. Eur Radiol, 2016, 26(7): 2099-2106.
[17]
Klauss M, Lemke A, Grunberg K, et al. Intravoxel incoherent motion MRI for the differentiation between mass forming chronic pancreatitis and pancreatic carcinoma. Invest Radiol, 2011, 46(1):57-63.
[18]
Sugiyama T, Nishida T, Kumagai S, et al. Combination therapy with irinotecan and cisplatin as neoadjuvant chemotherapy in locally advanced cervical cancer. Brit J Cancer, 1999, 81(1): 95-98.
[19]
Fu C, Bian D, Liu F, et al. The value of diffusion-weighted magnetic resonance imaging in assessing the response of locally advanced cervical cancer to neoadjuvant chemotherapy. Int J Gynecol Cancer, 2012, 22(6): 1037-1043.
[20]
Xiong Y, Liang LZ, Cao LP, et al. Clinical effects of irinotecan hydrochloride in combination with cisplatin as neoadjuvant chemotherapy in locally advanced cervical cancer. Gynecol Oncol, 2011, 123(1): 99-104.
[21]
Wang YC, Hu DY, Hu XM, et al. Assessing the early response of advanced cervical cancer to neoadjuvant chemotherapy using intravoxel incoherent motion diffusion-weighted magnetic resonance imaging: a pilot study. Chin Med J (Engl), 2016, 129(6): 665-671.
[22]
李靖,王莉,成慧君,等. MR体素内不一致运动序列预测和评价宫颈癌放化疗效果.临床放射学杂志, 2016, 35(4): 539-544.
[23]
Lee EY, Yu X, Chu MM, et al. Perfusion and diffusion characteristics of cervical cancer based on intraxovel incoherent motion MR imaging-a pilot study. Eur Radiol, 2014, 24(7): 1506-1513.
[24]
Jemal A, Center MM, DeSantis C, et al. Global patterns of cancer incidence and mortality rates and trends. Cancer Epidemiol Biomarkers Prev, 2010, 19(8): 1893-1907.
[25]
张杨贵,陈珊红,温志玲,等.体素内不相干运动MRI与DWI对前列腺癌的诊断.中国CT和MRI杂志, 2016, 14(3): 78-80, 137.
[26]
Valerio M, Zini C, Fierro D, et al. 3T multiparametric MRI of the prostate: does intravoxel incoherent motion diffusion imaging have a role in the detection and stratification of prostate cancer in the peripheral zone? Eur J Radiol, 2016, 85(4): 790-794.
[27]
Yang DM, Kim HC, Kim SW, et al. Prostate cancer: correlation of intravoxel incoherent motion MR parameters with Gleason score. Clin Imaging, 2016, 40(3): 445-450.
[28]
Gibbs P, Liney GP, Pickles MD, et al.Correlation of ADC and T2 measurements with cell density in prostate cancer at 3.0 Tesla. InvestRadiol, 2009, 44(9): 572-576.
[29]
Liu C, Wang K, Chan Q, et al. Intravoxel incoherent motion MR imaging for breast lesions: comparison and correlation with pharmacokinetic evaluation from dynamic contrast-enhanced MR imaging. Eur Radiol, 2016, 26(11): 3888-3898.
[30]
Ma D, Lu F, Zou X, et al. Intravoxel incoherent motion diffusion-weighted imaging as an adjunct to dynamic contrast-enhanced MRI to improve accuracy of the differential diagnosis of benign and malignant breast lesions. Magn Reson Imaging, 2016, 36(1): 175-179.
[31]
Bokacheva L, Kaplan JB, Giri DD, et al. Intravoxel incoherent motion diffusion-weighted MRI at 3.0 T differentiates malignant breast lesions from benign lesions and breast parenchyma. Magn Reson Imaging, 2014, 40(4): 813-823.
[32]
车树楠,李静,欧阳汉,等.扩散加权成像体素内不相干运动模型参数与乳腺癌预后因素及分子亚型的相关性.中国医学影像技术, 2016, 32(3): 367-371.
[33]
Ding Y, Zeng M, Rao S, et al. Comparison of biexponential and monoexponential model of diffusion-weighted imaging for distinguishing between common renal cell carcinoma and fat poor angiomyolipoma. Korean J Radiol, 2016, 17(6): 853-863.
[34]
Li L, Wang H, Pan J, et al. Intravoxel incoherent motion dwi in renal tumors: differentiation between benign and malignant masses. Zhonghua yi xue za zhi, 2015, 95(15): 1153-1157.

PREV Brain structure and resting-state functional MRI study of obstructive sleep apnea-hypopnea syndrome
NEXT Application status of functional magnetic resonance imaging technology in the liver
  



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