Application and Research Progress of Intravoxel Incoherent Motion Diffusion Weighted Imaging in Liver and Pancreas_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

 ZHENGXing-ju ^1,2 , WANGQi-yan ¹ , LIMou ¹ , HUANGZi-xing ¹ ,  SONGBin ¹

1. Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China;
2. Department of Radiology, Guizhou Provincial People's Hospital, Guiyang 550002, Guizhou Province, China;

Corresponding author：

SONGBin, Email: cjr.songbin@vip.163.com

Keywords：

MRI; Intravoxel incoherent motion; Diffusion weighted imaging; Review

DOI：

10.7507/1007-9424.20160262

Video：

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Objective To discuss application and research progress of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) in liver and pancreas. Method The literatures about application and research progress of IVIM-DWI in liver and pancreas were researched and reviewed. Results With the development of MRI, IVIM-DWI has become the hot research spot, and also has been widely used in liver and pancreas. It could make up the disadvantage of traditional DWI. IVIM-DWI holds an obvious value to assess the level of hepatic fibrosis or cirrhosis and differential diagnosis of liver tumors, diagnosis of pancreatic cancer and differential diagnosis of pancreatic cancers and mass type chronic pancreatitis. Conclusion IVIM-DWI has a great value in research of liver and pancreas, it is worth to be studied further.

Citation： ZHENGXing-ju, WANGQi-yan, LIMou, HUANGZi-xing, SONGBin. Application and Research Progress of Intravoxel Incoherent Motion Diffusion Weighted Imaging in Liver and Pancreas. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2016, 23(8): 1000-1004. doi: 10.7507/1007-9424.20160262 Copy

1.	Koh DM, Collins DJ. Diffusion-weighted MRI in the body:applications and challenges in oncology. AJR Am J Roentgenol, 2007, 188 (6):1622-1635.
2.	Lu NH, Hung CM, Liu KY, et al. Diagnosed chest lesion on diffusionweighted magnetic resonance images using apparent diffusion coefficients. J Xray Sci Technol, 2016, 24(1):133-143.
3.	Ciet P, Serra G, Andrinopoulou ER, et al. Diffusion weighted imaging in cystic fibrosis disease:beyond morphological imaging. Eur Radiol, 2016 Feb 12.[Epub ahead of print].
4.	Taron J, Martirosian P, Erb M, et al. Simultaneous multislice diffusion-weighted MRI of the liver:Analysis of different breathing schemes in comparison to standard sequences. J Magn Reson Imaging, 2016 Feb 26.doi:10.1002/jmri.25204.[Epub ahead of print].
5.	Zhang H, Sun A, Li H, et al. Stimulated echo diffusion weighted imaging of the liver at 3 Tesla. Magn Reson Med, 2016 Feb 15. doi:10. 1002/mrm. 26128.[Epub ahead of print].
6.	Fukukura Y, Shindo T, Hakamada H, et al. Diffusion-weighted MR imaging of the pancreas:optimizing b-value for visualization of pancreatic adenocarcinoma. Eur Radiol, 2016 Jan 6. doi:10.1007/s00330-015-4174-5.[Epub ahead of print].
7.	Hayano K, Miura F, Wada K, et al. Diffusion-weighted MR imaging of pancreatic cancer and inflammation:Prognostic significance of pancreatic inflammation in pancreatic cancer patients. Pancreatology, 2016, 16(1):121-126.
8.	Hötker AM, Mazaheri Y, Wibmer A, et al. Use of DWI in the differentiation of renal cortical tumors. AJR Am J Roentgenol, 2016, 206 (1):100-105.
9.	Sulkowska K, Palczewski P, Duda-Zysk A, et al. Diffusion-weighted MRI of kidneys in healthy volunteers and living kidney donors. Clin Radiol, 2015, 70(10):1122-1127.
10.	Nazarlou AK, Abdolmohammadi J. A study of the relationship between gender/age and apparent diffusion coefficient values in spleen of healthy adults using diffusion-weighted magnetic resonance imaging. Electron Physician, 2015, 7(1):1005-1009.
11.	Jang KM, Kim SH, Hwang J, et al. Differentiation of malignant from benign focal splenic lesions:added value of diffusion-weighted MRI. AJR Am J Roentgenol, 2014, 203(4):803-812.
12.	胡翼江, 贾迪, 徐正道, 等.磁共振扩散加权成像在鉴别良恶性胆囊息肉样病变中的价值.中华医学杂志, 2015, 95(39):3201-3204.
13.	Wang A, Shanbhogue AK, Dunst D, et al. Utility of diffusion-weighted MRI for differentiating acute from chronic cholecystitis. J Magn Reson Imaging, 2016, 44(1):89-97.
14.	Teixeira PA, Gay F, Chen B, et al. Diffusion-weighted magnetic resonance imaging for the initial characterization of non-fatty soft tissue tumors:correlation between T2 signal intensity and ADC values. Skeletal Radiol, 2016, 45(2):263-271.
15.	Kamper L, Haage P, Brandt AS, et al. Diffusion-weighted MRI in the follow-up of chronic periaortitis. Br J Radiol, 2015, 88(1052):20150145.
16.	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.
17.	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.
18.	Luciani A, Vignaud A, Cavet M, et al. Liver cirrhosis:intravoxel incoherent motion MR imaging-pilot study. Radiology, 2008, 249(3):891-899.
19.	Afdhal NH, Nunes D. Evaluation of liver fibrosis:a concise review. Am J Gastroenterol, 2004, 99(6):1160-1174.
20.	NIH Consensus Statement on Management of Hepatitis C:2002. NIH Consens State Sci Statements, 2002, 19(3):1-46.
21.	Kim AI, Saab S. Treatment of hepatitis C. Am J Med, 2005, 118(8):808-815.
22.	Patel J, Sigmund EE, Rusinek H, et al. Diagnosis of cirrhosis with intravoxel incoherent motion diffusion MRI and dynamic contrast-enhanced MRI alone and in combination:preliminary experience. J Magn Reson Imaging, 2010, 31(3):589-600.
23.	Chen C, Wang B, Shi D, et al. Initial study of biexponential model of intravoxel incoherent motion magnetic resonance imaging in evaluation of the liver fibrosis. Chin Med J (Engl), 2014, 127(17):3082-3087.
24.	Hu G, Chan Q, Quan X, et al. Intravoxel incoherent motion MRI evaluation for the staging of liver fibrosis in a rat model. J Magn Reson Imaging, 2015, 42(2):331-339.
25.	Yoon JH, Lee JM, Baek JH, et al. Evaluation of hepatic fibrosis using intravoxel incoherent motion in diffusion-weighted liver MRI. J Comput Assist Tomogr, 2014, 38(1):110-116.
26.	Moteki T, Horikoshi H. Evaluation of hepatic lesions and hepatic parenchyma using diffusion-weighted echo-planar MR with three values of gradient b-factor. J Magn Reson Imaging, 2006, 24(3):637-645.
27.	Yoon JH, Lee JM, Yu MH, et al. Evaluation of hepatic focal lesions using diffusion-weighted MR imaging:comparison of apparent diffusion coefficient and intravoxel incoherent motion-derived parameters. J Magn Reson Imaging, 2014, 39(2):2276-2285.
28.	李玉博, 高雪梅, 程敬亮, 等.体素内不相干运动扩散加权成像在肝细胞癌术前分级中的应用.中国医学影像技术, 2014, 30(11):1669-1673.
29.	Woo S, Lee JM, Yoon JH, et al. Intravoxel incoherent motion diffusion-weighted MR imaging of hepatocellular carcinoma:correlation with enhancement degree and histologic grade. Radiology, 2014, 270 (3):758-767.
30.	Koh DM, Scurr E, Collins DJ, et al. Colorectal hepatic metastases:quantitative measurements using single-shot echo-planar diffusion-weighted MR imaging. Eur Radiol, 2006, 16(9):1898-1905.
31.	Chiaradia M, Baranes L, Van Nhieu JT, et al. Intravoxel incoherent motion (IVIM) MR imaging of colorectal liver metastases:are we only looking at tumor necrosis? J Magn Reson Imaging, 2014, 39(2):317-325.
32.	Doblas S, Wagner M, Leitao HS, et al. Determination of malignancy and characterization of hepatic tumor type with diffusion-weighted magnetic resonance imaging:comparison of apparent diffusion coefficient and intravoxel incoherent motion-derived measurements. Invest Radiol, 2013, 48(10):722-728.
33.	Lemke A, Laun FB, Klauss M, et al. Differentiation of pancreas carcinoma from healthy pancreatic tissue using multiple b-values:comparison of apparent diffusion coefficient and intravoxel incoherent motion derived parameters. Invest Radiol, 2009, 44(12):769-775.
34.	Miller FH, Rini NJ, Keppke AL. MRI of adenocarcinoma of the pancreas. AJR Am J Roentgenol, 2006, 187(4):W365-W374.
35.	Barral M, Sebbag-Sfez D, Hoeffel C, et al. Characterization of focal pancreatic lesions using normalized apparent diffusion coefficient at 1.5-Tesla:preliminary experience. Diagn Interv Imaging, 2013, 94(6):619-627.
36.	Yao XZ, Yun H, Zeng MS, et al. Evaluation of ADC measurements among solid pancreatic masses by respiratory-triggered diffusion-weighted MR imaging with inversion-recovery fat-suppression technique at 3.0T. Magn Reson Imaging, 2013, 31(4):524-528.
37.	Wang Y, Chen ZE, Nikolaidis P, et al. Diffusion-weighted magnetic resonance imaging of pancreatic adenocarcinomas:association with histopathology and tumor grade. J Magn Reson Imaging, 2011, 33(1):136-142.
38.	Lee SS, Byun JH, Park BJ, et al. Quantitative analysis of diffusion-weighted magnetic resonance imaging of the pancreas:usefulness in characterizing solid pancreatic masses. J Magn Reson Imaging, 2008, 28(4):928-936.
39.	Kang KM, Lee JM, Yoon JH, et al. Intravoxel incoherent motion diffusion-weighted MR imaging for characterization of focal pancreatic lesions. Radiology, 2014, 270(2):444-453.
40.	Concia M, Sprinkart AM, Penner AH, et al. Diffusion-weighted magnetic resonance imaging of the pancreas:diagnostic benefit from an intravoxel incoherent motion model-based 3 b-value analysis. Invest Radiol, 2014, 49(2):93-100.
41.	Klauss M, Lemke A, Grünberg 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.

1. Koh DM, Collins DJ. Diffusion-weighted MRI in the body:applications and challenges in oncology. AJR Am J Roentgenol, 2007, 188 (6):1622-1635.
2. Lu NH, Hung CM, Liu KY, et al. Diagnosed chest lesion on diffusionweighted magnetic resonance images using apparent diffusion coefficients. J Xray Sci Technol, 2016, 24(1):133-143.
3. Ciet P, Serra G, Andrinopoulou ER, et al. Diffusion weighted imaging in cystic fibrosis disease:beyond morphological imaging. Eur Radiol, 2016 Feb 12.[Epub ahead of print].
4. Taron J, Martirosian P, Erb M, et al. Simultaneous multislice diffusion-weighted MRI of the liver:Analysis of different breathing schemes in comparison to standard sequences. J Magn Reson Imaging, 2016 Feb 26.doi:10.1002/jmri.25204.[Epub ahead of print].
5. Zhang H, Sun A, Li H, et al. Stimulated echo diffusion weighted imaging of the liver at 3 Tesla. Magn Reson Med, 2016 Feb 15. doi:10. 1002/mrm. 26128.[Epub ahead of print].
6. Fukukura Y, Shindo T, Hakamada H, et al. Diffusion-weighted MR imaging of the pancreas:optimizing b-value for visualization of pancreatic adenocarcinoma. Eur Radiol, 2016 Jan 6. doi:10.1007/s00330-015-4174-5.[Epub ahead of print].
7. Hayano K, Miura F, Wada K, et al. Diffusion-weighted MR imaging of pancreatic cancer and inflammation:Prognostic significance of pancreatic inflammation in pancreatic cancer patients. Pancreatology, 2016, 16(1):121-126.
8. Hötker AM, Mazaheri Y, Wibmer A, et al. Use of DWI in the differentiation of renal cortical tumors. AJR Am J Roentgenol, 2016, 206 (1):100-105.
9. Sulkowska K, Palczewski P, Duda-Zysk A, et al. Diffusion-weighted MRI of kidneys in healthy volunteers and living kidney donors. Clin Radiol, 2015, 70(10):1122-1127.
10. Nazarlou AK, Abdolmohammadi J. A study of the relationship between gender/age and apparent diffusion coefficient values in spleen of healthy adults using diffusion-weighted magnetic resonance imaging. Electron Physician, 2015, 7(1):1005-1009.
11. Jang KM, Kim SH, Hwang J, et al. Differentiation of malignant from benign focal splenic lesions:added value of diffusion-weighted MRI. AJR Am J Roentgenol, 2014, 203(4):803-812.
12. 胡翼江, 贾迪, 徐正道, 等.磁共振扩散加权成像在鉴别良恶性胆囊息肉样病变中的价值.中华医学杂志, 2015, 95(39):3201-3204.
13. Wang A, Shanbhogue AK, Dunst D, et al. Utility of diffusion-weighted MRI for differentiating acute from chronic cholecystitis. J Magn Reson Imaging, 2016, 44(1):89-97.
14. Teixeira PA, Gay F, Chen B, et al. Diffusion-weighted magnetic resonance imaging for the initial characterization of non-fatty soft tissue tumors:correlation between T2 signal intensity and ADC values. Skeletal Radiol, 2016, 45(2):263-271.
15. Kamper L, Haage P, Brandt AS, et al. Diffusion-weighted MRI in the follow-up of chronic periaortitis. Br J Radiol, 2015, 88(1052):20150145.
16. 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.
17. 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.
18. Luciani A, Vignaud A, Cavet M, et al. Liver cirrhosis:intravoxel incoherent motion MR imaging-pilot study. Radiology, 2008, 249(3):891-899.
19. Afdhal NH, Nunes D. Evaluation of liver fibrosis:a concise review. Am J Gastroenterol, 2004, 99(6):1160-1174.
20. NIH Consensus Statement on Management of Hepatitis C:2002. NIH Consens State Sci Statements, 2002, 19(3):1-46.
21. Kim AI, Saab S. Treatment of hepatitis C. Am J Med, 2005, 118(8):808-815.
22. Patel J, Sigmund EE, Rusinek H, et al. Diagnosis of cirrhosis with intravoxel incoherent motion diffusion MRI and dynamic contrast-enhanced MRI alone and in combination:preliminary experience. J Magn Reson Imaging, 2010, 31(3):589-600.
23. Chen C, Wang B, Shi D, et al. Initial study of biexponential model of intravoxel incoherent motion magnetic resonance imaging in evaluation of the liver fibrosis. Chin Med J (Engl), 2014, 127(17):3082-3087.
24. Hu G, Chan Q, Quan X, et al. Intravoxel incoherent motion MRI evaluation for the staging of liver fibrosis in a rat model. J Magn Reson Imaging, 2015, 42(2):331-339.
25. Yoon JH, Lee JM, Baek JH, et al. Evaluation of hepatic fibrosis using intravoxel incoherent motion in diffusion-weighted liver MRI. J Comput Assist Tomogr, 2014, 38(1):110-116.
26. Moteki T, Horikoshi H. Evaluation of hepatic lesions and hepatic parenchyma using diffusion-weighted echo-planar MR with three values of gradient b-factor. J Magn Reson Imaging, 2006, 24(3):637-645.
27. Yoon JH, Lee JM, Yu MH, et al. Evaluation of hepatic focal lesions using diffusion-weighted MR imaging:comparison of apparent diffusion coefficient and intravoxel incoherent motion-derived parameters. J Magn Reson Imaging, 2014, 39(2):2276-2285.
28. 李玉博, 高雪梅, 程敬亮, 等.体素内不相干运动扩散加权成像在肝细胞癌术前分级中的应用.中国医学影像技术, 2014, 30(11):1669-1673.
29. Woo S, Lee JM, Yoon JH, et al. Intravoxel incoherent motion diffusion-weighted MR imaging of hepatocellular carcinoma:correlation with enhancement degree and histologic grade. Radiology, 2014, 270 (3):758-767.
30. Koh DM, Scurr E, Collins DJ, et al. Colorectal hepatic metastases:quantitative measurements using single-shot echo-planar diffusion-weighted MR imaging. Eur Radiol, 2006, 16(9):1898-1905.
31. Chiaradia M, Baranes L, Van Nhieu JT, et al. Intravoxel incoherent motion (IVIM) MR imaging of colorectal liver metastases:are we only looking at tumor necrosis? J Magn Reson Imaging, 2014, 39(2):317-325.
32. Doblas S, Wagner M, Leitao HS, et al. Determination of malignancy and characterization of hepatic tumor type with diffusion-weighted magnetic resonance imaging:comparison of apparent diffusion coefficient and intravoxel incoherent motion-derived measurements. Invest Radiol, 2013, 48(10):722-728.
33. Lemke A, Laun FB, Klauss M, et al. Differentiation of pancreas carcinoma from healthy pancreatic tissue using multiple b-values:comparison of apparent diffusion coefficient and intravoxel incoherent motion derived parameters. Invest Radiol, 2009, 44(12):769-775.
34. Miller FH, Rini NJ, Keppke AL. MRI of adenocarcinoma of the pancreas. AJR Am J Roentgenol, 2006, 187(4):W365-W374.
35. Barral M, Sebbag-Sfez D, Hoeffel C, et al. Characterization of focal pancreatic lesions using normalized apparent diffusion coefficient at 1.5-Tesla:preliminary experience. Diagn Interv Imaging, 2013, 94(6):619-627.
36. Yao XZ, Yun H, Zeng MS, et al. Evaluation of ADC measurements among solid pancreatic masses by respiratory-triggered diffusion-weighted MR imaging with inversion-recovery fat-suppression technique at 3.0T. Magn Reson Imaging, 2013, 31(4):524-528.
37. Wang Y, Chen ZE, Nikolaidis P, et al. Diffusion-weighted magnetic resonance imaging of pancreatic adenocarcinomas:association with histopathology and tumor grade. J Magn Reson Imaging, 2011, 33(1):136-142.
38. Lee SS, Byun JH, Park BJ, et al. Quantitative analysis of diffusion-weighted magnetic resonance imaging of the pancreas:usefulness in characterizing solid pancreatic masses. J Magn Reson Imaging, 2008, 28(4):928-936.
39. Kang KM, Lee JM, Yoon JH, et al. Intravoxel incoherent motion diffusion-weighted MR imaging for characterization of focal pancreatic lesions. Radiology, 2014, 270(2):444-453.
40. Concia M, Sprinkart AM, Penner AH, et al. Diffusion-weighted magnetic resonance imaging of the pancreas:diagnostic benefit from an intravoxel incoherent motion model-based 3 b-value analysis. Invest Radiol, 2014, 49(2):93-100.
41. Klauss M, Lemke A, Grünberg 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.

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Application and Research Progress of Intravoxel Incoherent Motion Diffusion Weighted Imaging in Liver and Pancreas

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