Decreases in molecular diffusion, perfusion fraction and perfusion-related diffusion in fibrotic livers: A prospective clinical intravoxel incoherent motion MR imaging study

PLoS ONE

Volumn 9, Issue 12, 2014, Pages

  Lu, Pu Xuan ^a   Huang, Hua ^a   Yuan, Jing ^b   Zhao, Feng ^b   Chen, Zhi Yi ^c   Zhang, Qinwei ^b   Ahuja, Anil T ^b   Zhou, Bo Ping ^a   Wáng, Yì Xiáng J ^b  

^a SHENZHEN THIRD PEOPLE S HOSPITAL   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^c GUANGZHOU MEDICAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DIFFUSION COEFFICIENT; DIFFUSION WEIGHTED IMAGING; DISEASE SEVERITY; ECHO PLANAR IMAGING; FEMALE; HUMAN; INTRAVOXEL INCOHERENT MOTION MAGNETIC RESONANCE IMAGING; LIVER FIBROSIS; MALE; NUCLEAR MAGNETIC RESONANCE SCANNER; PERFUSION FRACTION; PERFUSION RELATED DIFFUSION COEFFICIENT; PROSPECTIVE STUDY; RADIOLOGICAL PARAMETERS; AGED; ANATOMY AND HISTOLOGY; IMAGE PROCESSING; LIVER; LIVER CIRRHOSIS; MIDDLE AGED; PATHOLOGY; PERFUSION; PROCEDURES; YOUNG ADULT;

ADULT; AGED; DIFFUSION MAGNETIC RESONANCE IMAGING; ECHO-PLANAR IMAGING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIVER; LIVER CIRRHOSIS; MALE; MIDDLE AGED; PERFUSION; PROSPECTIVE STUDIES; YOUNG ADULT;

EID: 84914703909     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0113846     Document Type: Article

References (52)

1. Wallace K, Burt AD, Wright MC (2008) Liver fibrosis. Biochem J 411: 1-18.
2. Patel K, Shackel NA (2014) Current status of fibrosis markers. Curr Opin Gastroenterol 30: 253-9.
3. Anania C, Pacifico L, Ferraro F, Olivero E, Chiesa C (2011) Aspartate transaminase to platelet ratio index (APRI) to assess liver fibrosis in patients with chronic liver disease. Hepat Mon 11: 479-80.
4. Tatsumi C, Kudo M, Ueshima K, Kitai S, Takahashi S, et al. (2008) Noninvasive evaluation of hepatic fibrosis using serum fibrotic markers, transient elastography (FibroScan) and real-time tissue elastography. Intervirology 51 Suppl 1:27-33.
5. Sy S, Huang S, Wang YX, Yu J, Ahuja AT, et al. (2010) Zhang YT, Pickwell-MacPherson E. Terahertz spectroscopy of liver cirrhosis: investigating the origin of contrast. Phys Med Biol 55: 7587-96.
6. Ligabue G, Besutti G, Scaglioni R, Stentarelli C, Guaraldi G (2013) MR quantitative biomarkers of non-alcoholic fatty liver disease: technical evolutions and future trends. Quant Imaging Med Surg 3: 192-5.
7. Janes CH, Lindor KD (1993) Outcome of patients hospitalized for complications after outpatient liver biopsy. Ann Intern Med 118: 96-98.
8. Bravo AA, Sheth SG, Chopra S (2001) Liver biopsy. N Engl J Med 344: 495-500
9. Wang YX (2005) Medical imaging in pharmaceutical clinical trials: what radiologists should know. Clin Radiol 60: 1051-7.
10. Wang YX, Ng CK (2011) The impact of quantitative imaging in medicine and surgery: Charting our course for the future. Quant Imaging Med Surg 1: 1-3.
11. Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, et al. (1998) Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 168: 497-505.
12. Le Bihan D, Turner R (1992) The capillary network: a link between IVIM and classical perfusion. Magn Reson Med 27: 171-178.
13. Luciani A, Vignaud A, Cavet M, Nhieu JT, Mallat A, et al. (2008) Liver cirrhosis: intravoxel incoherent motion MR imaging-pilot study. Radiology 249: 891-899.
14. Chow AM, Gao DS, Fan SJ, Qiao Z, Lee FY, et al. (2012) Liver fibrosis: an intravoxel incoherent motion (IVIM) study. J Magn Reson Imaging 36: 159-67.
15. Lautt WW (1977) Hepatic vasculature: a conceptual review. Gastroenterology 73: 1163-1169.
16. Moreno AH, Burchell AR, Rousselot LM, Panke WF, Slafsky F, et al. (1967) Portal blood flow in cirrhosis of the liver. J Clin Invest 1967; 46: 436-445.
17. Van Beers BE, Leconte I, Materne R, Smith AM, Jamart J, et al. (2001) Hepatic perfusion parameters in chronic liver disease: dynamic CT measurements correlated with disease severity. AJR Am J Roentgenol 176: 667-673.
18. Hashimoto K, Murakami T, Dono K, Hori M, Kim T, et al. (2006) Assessment of the severity of liver disease and fibrotic change: the usefulness of hepatic CT perfusion imaging. Oncol Rep 16: 677-683.
19. Hollingsworth KG, Lomas DJ (2006) Influence of perfusion on hepatic MR diffusion measurement. NMR Biomed 19: 231-235.
20. Bedossa P, Poynard T (1996) An algorithm for the grading of activity in chronic hepatitis C. The METAVIR Cooperative Study Group. Hepatology 24: 289-293.
21. Pekar J, Moonen CT, van Zijl PC (1992) On the precision of diffusion/perfusion imaging by gradient sensitization. Magn Reson Med 23: 122-129.
22. Zhao F, Deng M, Yuan J, Teng GJ, Ahuja AT, et al. (2012) Experimental evaluation of accelerated T1rho relaxation quantification in human liver using limited spin-lock times. Korean J Radiol 2012; 13: 736-42.
23. Zhao F, Yuan J, Deng M, Lu PX, Ahuja AT, et al. (2013) Further exploration of MRI techniques for liver T1rho quantification. Quant Imaging Med Surg 3: 308-15.
24. Faria SC, Ganesan K, Mwangi I, Shiehmorteza M, Viamonte B, et al. (2009) MR imaging of liver fibrosis: current state of the art. RadioGraphics 29: 1615-1635.
25. Ito K, Mitchell DG (2004) Imaging diagnosis of cirrhosis and chronic hepatitis. Intervirology 47: 134-143.
26. Wang YX, Yuan J, Chu ES, Go MY, Huang H, et al. (2011) T1rho MR imaging is sensitive to evaluate liver fibrosis: an experimental study in a rat biliary duct ligation model. Radiology 259: 712-719.
27. Zhao F, Wang YX, Yuan J, Deng M, Wong HL, et al. (2012) MR T1r as an imaging biomarker for monitoring liver injury progression and regression: an experimental study in rats with carbon tetrachloride intoxication. Eur Radiol 22: 1709-16.
28. Wang YX, Yuan J (2014) Evaluation of liver fibrosis with T1r MR imaging. Quant Imaging Med Surg 4: 152-5.
29. Allkemper T, Sagmeister F, Cicinnati V, Beckebaum S, Kooijman H, et al. (2014) Evaluation of Fibrotic Liver Disease with Whole-Liver T1r MR Imaging: A Feasibility Study at 1.5 T. Radiology 271: 408-415.
30. Aguirre DA, Behling CA, Alpert E, Hassanein TI, Sirlin CB (2006) Liver fibrosis: noninvasive diagnosis with double contrast material-enhanced MR imaging. Radiology 2006; 239: 425-437.
31. Watanabe H, Kanematsu M, Goshima S, Kondo H, Onozuka M, et al. (2011) Staging hepatic fibrosis: comparison of gadoxetate disodium-enhanced and diffusion-weighted MR imaging - preliminary observations. Radiology 259: 142-50.
32. Goshima S, Kanematsu M, Kobayashi T, Furukawa T, Zhang X, et al. (2012) Staging hepatic fibrosis: computer-aided analysis of hepatic contours on gadolinium ethoxybenzyl diethylenetriaminepentaacetic acid-enhanced hepatocyte-phase magnetic resonance imaging. Hepatology 55: 328-9.
33. Mannelli L, Wilson GJ, Dubinsky TJ, Potter CA, Bhargava P, et al. (2012) Assessment of the liver strain among cirrhotic and normal livers using tagged MRI. J Magn Reson Imaging 36: 1490-5.
34. Salameh N, Larrat B, Abarca-Quinones J, Pallu S, Dorvillius I, et al. (2009) Early detection of steatohepatitis in fatty rat liver by using MR elastography. Radiology 253: 90-97.
35. Bonekamp S, Kamel I, Solga S, Clark J (2009) Can imaging modalities diagnose and stage hepatic fibrosis and cirrhosis accurately? J Hepatol 50: 17-35.
36. Yamada I, Aung W, Himeno Y, Nakagawa T, Shibuya H (1999) Diffusion coefficients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging. Radiology 210: 617-623.
37. Guiu B, Petit JM, Capitan V, Aho S, Masson D, et al. (2012) Intravoxel incoherent motion diffusion-weighted imaging in nonalcoholic fatty liver disease: a 3.0-T MR study. Radiology 265: 96-103.
38. Patel J, Sigmund EE, Rusinek H, Oei M, Babb JS, et al. (2010) Diagnosis of cirrhosis with intravoxel incoherent motion diffusion MRI and dynamic contrast-enhanced MRI alone and in combination: preliminary experience. J Magn Reson Imaging 31: 589-600.
39. Zhang Y, Jin N, Deng J, Guo Y, White SB, et al. (2013) Intra-voxel incoherent motion MRI in rodent model of diethylnitrosamine-induced liver fibrosis. Magn Reson Imaging 31: 1017-21.
40. Joo I, Lee JM, Yoon JH, Jang JJ, Han JK, et al. (2014) Choi BI. Nonalcoholic Fatty Liver Disease: Intravoxel Incoherent Motion Diffusion-weighted MR Imaging -An Experimental Study in a Rabbit Model. Radiology 270: 131-40.
41. Guiu B, Cercueil JP (2011) Liver diffusion-weighted MR imaging: the tower of Babel? Eur Radiol 21: 463-7.
42. Zhang Q, Wang YX, Ma HT, Yuan J (2013). Cramér-Rao Bound for Intravoxel Incoherent Motion Diffusion Weighted Imaging Fitting. Conf Proc IEEE Eng Med Biol Soc:511-4. doi: 10.1109/EMBC.2013.6609549
43. Deng M, Zhao F, Yuan J, Ahuja AT, et al. (2012) Liver T1r MRI measurement in healthy human subjects at 3 T: a preliminary study with a two-dimensional fast-field echo sequence. Br J Radiol 85: e590-5.
44. Lemke A, Stieltjes B, Schad LR, Laun FB (2011) Toward an optimal distribution of b values for intravoxel incoherent motion imaging. Magn Reson Imaging 29: 766-776.
45. Zhang JL, Sigmund EE, Rusinek H, Chandarana H, Storey P, et al. (2012) Optimization of b-value sampling for diffusion-weighted imaging of the kidney. Magn Reson Med 67: 89-97.
46. Walker-Samuel S, Orton M, Boult JK, Robinson SP (2011) Improving apparent diffusion coefficient estimates and elucidating tumor heterogeneity using Bayesian adaptive smoothing. Magn Reson Med 65: 438-447.
47. Lee JT, Liau J, Murphy P, Schroeder ME, Sirlin CB, et al. (2012) Cross-sectional investigation of correlation between hepatic steatosis and IVIM perfusion on MR imaging. Mag Reson Imaging 30: 572-578.
48. Poyraz AK, Onur MR, Kocakoc¸ E, Oʇur E (2012) Diffusion-weighted MRI of fatty liver. J Magn Reson Imaging 35: 1108-11.
49. Federau C, O'Brien K, Meuli R, Hagmann P, Maeder P (2014) Measuring brain perfusion with intravoxel incoherent motion (IVIM): initial clinical experience. J Magn Reson Imaging 39: 624-32.
50. Bokacheva L, Kaplan JB, Giri DD, Patil S, Gnanasigamani M, et al. (2014) Intravoxel incoherent motion diffusion-weighted MRI at 3.0 T differentiates malignant breast lesions from benign lesions and breast parenchyma. J Magn Reson Imaging 40: 813-23.
51. Gaeta M, Benedetto C, Minutoli F, D'Angelo T, Amato E, et al. (2014) Use of Diffusion-weighted, Intravoxel Incoherent Motion, and Dynamic Contrast-enhanced MR Imaging in the Assessment of Response to Radiotherapy of Lytic Bone Metastases from Breast Cancer. Acad Radiol 21: 1286-93.
52. Shinmoto H, Tamura C, Soga S, Shiomi E, Yoshihara N, et al. (2012) An intravoxel incoherent motion diffusion-weighted imaging study of prostate cancer. AJR Am J Roentgenol 199: W496-500.