Evaluation of hepatic focal lesions using diffusion-weighted MR imaging: Comparison of apparent diffusion coefficient and intravoxel incoherent motion-derived parameters

Journal of Magnetic Resonance Imaging

Volumn 39, Issue 2, 2014, Pages 276-285

  Yoon, Jeong Hee ^a   Lee, Jeong Min ^a,b   Yu, Mi Hye ^a   Kiefer, Berthold ^c   Han, Joon Koo ^a,b   Choi, Byung Ihn ^a,b  

^a Seoul National University Hospital   (South Korea)

^b Seoul National University College of Medicine   (South Korea)

^c SIEMENS AG   (Germany)

Author keywords

diffusion weighted imaging; focal liver lesion; intravoxel incoherent motion

Indexed keywords

GADOXETIC ACID;

ADULT; AGED; ARTICLE; BENIGN TUMOR; BILE DUCT CARCINOMA; COMPARATIVE STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; DIFFUSION COEFFICIENT; DIFFUSION WEIGHTED IMAGING; EVALUATION STUDY; FEMALE; HUMAN; IMAGE ANALYSIS; LIVER ADENOMA; LIVER CELL CARCINOMA; LIVER FOCAL NODULAR HYPERPLASIA; LIVER METASTASIS; MAJOR CLINICAL STUDY; MALE; MALIGNANT NEOPLASTIC DISEASE; MIDDLE AGED; MOTION; NUCLEAR MAGNETIC RESONANCE SCANNER; PERFUSION; PRIORITY JOURNAL; TUMOR DIFFERENTIATION; VERY ELDERLY; YOUNG ADULT;

DIFFUSION-WEIGHTED IMAGING; FOCAL LIVER LESION; INTRAVOXEL INCOHERENT MOTION;

ADOLESCENT; ADULT; AGED; ALGORITHMS; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; LIVER; LIVER NEOPLASMS; MALE; MIDDLE AGED; MOTION; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84892821001     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.24158     Document Type: Article

References (57)

1. Frydrychowicz A, Lubner MG, Brown JJ, et al. Hepatobiliary MR imaging with gadolinium-based contrast agents. J Magn Reson Imaging 2012; 35: 492-511.
2. Taouli B, Ehman RL, Reeder SB,. Advanced MRI methods for assessment of chronic liver disease. Am J Roentgenol 2009; 193: 14-27.
3. Braren R, Altomonte J, Settles M, et al. Validation of preclinical multiparametric imaging for prediction of necrosis in hepatocellular carcinoma after embolization. J Hepatol 2011; 55: 1034-1040.
4. Wang H, Sun X, Chen F, et al. Treatment of rodent liver tumor with combretastatin a4 phosphate: noninvasive therapeutic evaluation using multiparametric magnetic resonance imaging in correlation with microangiography and histology. Invest Radiol 2009; 44: 44-53.
5. Wang H, Cona MM, Chen F, et al. Comparison of two vascular-disrupting agents at a clinically relevant dose in rodent liver tumors with multiparametric magnetic resonance imaging biomarkers. Anticancer Drugs 2012; 23: 12-21.
6. Longo R, Ricci C, Masutti F, et al. Fatty infiltration of the liver. Quantification by 1H localized magnetic resonance spectroscopy and comparison with computed tomography. Invest Radiol 1993; 28: 297-302.
7. Huwart L, Peeters F, Sinkus R, et al. Liver fibrosis: non-invasive assessment with MR elastography. NMR Biomed 2006; 19: 173-179.
8. Müller M, Prasad P, Siewert B, Nissenbaum MA, Raptopoulos V, Edelman RR,. Abdominal diffusion mapping with use of a whole-body echo-planar system. Radiology 1994; 190: 475-478.
9. Namimoto T, Yamashita Y, Sumi S, Tang Y, Takahashi M,. Focal liver masses: characterization with diffusion-weighted echo-planar MR imaging. Radiology 1997; 204: 739-744.
10. Ichikawa T, Haradome H, Hachiya J, Nitatori T, Araki T,. Diffusion-weighted MR imaging with a single-shot echoplanar sequence: detection and characterization of focal hepatic lesions. Am J Roentgenol 1998; 170: 397-402.
11. Xu PJ, Yan FH, Wang JH, Lin J, Ji Y,. Added value of breathhold diffusion-weighted MRI in detection of small hepatocellular carcinoma lesions compared with dynamic contrast-enhanced MRI alone using receiver operating characteristic curve analysis. J Magn Reson Imaging 2009; 29: 341-349.
12. Kilickesmez O, Bayramoglu S, Inci E, Cimilli T,. Value of apparent diffusion coefficient measurement for discrimination of focal benign and malignant hepatic masses. J Med Imaging Radiat Oncol 2009; 53: 50-55.
13. Sandrasegaran K, Akisik FM, Lin C, Tahir B, Rajan J, Aisen AM,. The value of diffusion-weighted imaging in characterizing focal liver masses. Acad Radiol 2009; 16: 1208-1214.
14. Vandecaveye V, De Keyzer F, Verslype C, et al. Diffusion-weighted MRI provides additional value to conventional dynamic contrast-enhanced MRI for detection of hepatocellular carcinoma. Eur Radiol 2009; 19: 2456-2466.
15. Parikh T, Drew SJ, Lee VS, et al. Focal liver lesion detection and characterization with diffusion-weighted MR imaging: comparison with standard breath-hold T2-weighted imaging. Radiology 2008; 246: 812-822.
16. Löwenthal D, Zeile M, Lim W, et al. Detection and characterisation of focal liver lesions in colorectal carcinoma patients: comparison of diffusion-weighted and Gd-EOB-DTPA enhanced MR imaging. Eur Radiol 2011; 21: 832-840.
17. Goshima S, Kanematsu M, Kondo H, et al. Diffusion-weighted imaging of the liver: optimizing b value for the detection and characterization of benign and malignant hepatic lesions. J Magn Reson Imaging 2008; 28: 691-697.
18. Malayeri AA, El Khouli RH, Zaheer A, et al. Principles and applications of diffusion-weighted imaging in cancer detection, staging, and treatment follow-up. Radiographics 2011; 31: 1773-1791.
19. Rheinheimer S, Stieltjes B, Schneider F, et al. Investigation of renal lesions by diffusion-weighted magnetic resonance imaging applying intravoxel incoherent motion-derived parameters-initial experience. Eur J Radiol 2011; 81: e310-e316.
20. Chan J, Tsui E, Luk S, et al. Diffusion-weighted MR imaging of the liver: distinguishing hepatic abscess from cystic or necrotic tumor. Abdom Imaging 2001; 26: 161-165.
21. Kamel IR, Bluemke DA, Ramsey D, et al. Role of diffusion-weighted imaging in estimating tumor necrosis after chemoembolization of hepatocellular carcinoma. Am J Roentgenol 2003; 181: 708-710.
22. Taouli B, Vilgrain V, Dumont E, Daire JL, Fan B, Menu Y,. 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: 71-78.
23. Kim T, Murakami T, Takahashi S, Hori M, Tsuda K, Nakamura H,. Diffusion-weighted single-shot echoplanar MR imaging for liver disease. Am J Roentgenol 1999; 173: 393-398.
24. 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: 477-485.
25. Gourtsoyianni S, Papanikolaou N, Yarmenitis S, Maris T, Karantanas A, Gourtsoyiannis N,. Respiratory gated diffusion-weighted imaging of the liver: value of apparent diffusion coefficient measurements in the differentiation between most commonly encountered benign and malignant focal liver lesions. Eur Radiol 2008; 18: 486-492.
26. Bogner W, Gruber S, Pinker K, et al. Diffusion-weighted MR for differentiation of breast lesions at 3.0 T: how does selection of diffusion protocols affect diagnosis? Radiology 2009; 253: 341-351.
27. Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet M,. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 1988; 168: 497-505.
28. Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, Laval-Jeantet M,. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 1986; 161: 401-407.
29. Le Bihan D, Breton E, Lallemand D,. Perfusion in intravoxel incoherent motion MR imaging. Radiology 1988; 168: 497-505.
30. Wirestam R, Borg M, Brockstedt S, Lindgren A, Holtas S, Stahlberg F,. Perfusion-related parameters in intravoxel incoherent motion MR imaging compared with CBV and CBF measured by dynamic susceptibility-contrast MR technique. Acta Radiol 2001; 42: 123-128.
31. Bruix J, Sherman M,. Management of hepatocellular carcinoma: an update. Hepatology 2011; 53: 1020-1022.
32. Zech CJ, Herrmann KA, Reiser MF, Schoenberg SO,. MR imaging in patients with suspected liver metastases: value of liver-specific contrast agent Gd-EOB-DTPA. Magn Reson Med Sci 2007; 6: 43-52.
33. Ba-Ssalamah A, Uffmann M, Saini S, Bastati N, Herold C, Schima W,. Clinical value of MRI liver-specific contrast agents: a tailored examination for a confident non-invasive diagnosis of focal liver lesions. Eur Radiol 2009; 19: 342-357.
34. Danet IM, Semelka RC, Leonardou P, et al. Spectrum of MRI appearances of untreated metastases of the liver. Am J Roentgenol 2003; 181: 809-817.
35. Stern W, Schick F, Kopp AF, et al. Dynamic MR imaging of liver metastases with Gd-EOB-DTPA. Acta Radiol 2000; 41: 255-262.
36. Leifer DM, Middleton WD, Teefey SA, Menias CO, Leahy JR,. Follow-up of patients at low risk for hepatic malignancy with a characteristic hemangioma at US. Radiology 2000; 214: 167-172.
37. Cooperberg P, Gibney R,. Imaging of the gallbladder. Radiology 1987; 163: 605-613.
38. Yun E, Choi B, Han J, et al. Hepatic hemangioma: contrast-enhancement pattern during the arterial and portal venous phases of spiral CT. Abdom Imaging 1999; 24: 262-266.
39. Lemke A, Schad L, Stieltjes B, Laun F,. Evidence for a vascular contribution to the biexponential signal decay as a function of the b-value in DWI: a verification of the IVIM-model. In: Proc 17th Annual Meeting ISMRM, Honolulu; 2009: 1365.
40. Shamsi K, De Schepper A, Degryse H, Deckers F,. Focal nodular hyperplasia of the liver: radiologic findings. Abdom Imaging 1993; 18: 32-38.
41. Seale MK, Catalano OA, Saini S, Hahn PF, Sahani DV,. Hepatobiliary- specific MR contrast agents: role in imaging the liver and biliary tree. Radiographics 2009; 29: 1725-1748.
42. Danet IM, Semelka RC, Leonardou P, et al. Spectrum of MRI appearances of untreated metastases of the liver. Am J Roentgenol 2003; 181: 809-817.
43. Kang Y, Lee JM, Kim SH, Han JK, Choi BI,. Intrahepatic mass-forming cholangiocarcinoma: enhancement patterns on gadoxetic acid-enhanced MR images. Radiology 2012; 264: 751-760.
44. Nino-Murcia M, Olcott EW, Jeffrey RB, Lamm RL, Beaulieu CF, Jain KA,. Focal liver lesions: pattern-based classification Scheme for enhancement at arterial phase CT. Radiology 2000; 215: 746-751.
45. Kim SA, Lee JM, Lee KB, et al. Intrahepatic mass-forming cholangiocarcinomas: enhancement patterns at multiphasic CT, with special emphasis on arterial enhancement pattern-correlation with clinicopathologic findings. Radiology 2011; 260: 148-157.
46. EASL-EORTC clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol 2012; 56: 908-943.
47. Koh DM, Collins DJ, Orton MR,. Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges. Am J Roentgenol 2011; 196: 1351-1361.
48. Sumi M, Van Cauteren M, Sumi T, Obara M, Ichikawa Y, Nakamura T,. Salivary gland tumors: use of intravoxel incoherent motion MR imaging for assessment of diffusion and perfusion for the differentiation of benign from malignant tumors. Radiology 2012; 263: 770-777.
49. Lemke A, Laun FB, Klau 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: 769-775.
50. Yamada I, Aung W, Himeno Y, Nakagawa T, Shibuya H,. Diffusion coefficients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging. Radiology 1999; 210: 617-623.
51. Chandarana H, Lee VS, Hecht E, Taouli B, Sigmund EE,. Comparison of biexponential and monoexponential model of diffusion weighted imaging in evaluation of renal lesions: preliminary experience. Invest Radiol 2011; 46: 285-291.
52. Guiu B, Petit JM, Capitan V, et al. Intravoxel incoherent motion diffusion-weighted imaging in nonalcoholic fatty liver disease: a 3.0-T MR study. Radiology 2012; 265: 96-103.
53. Lemke A, Laun FB, Simon D, Stieltjes B, Schad LR,. An in vivo verification of the intravoxel incoherent motion effect in diffusion-weighted imaging of the abdomen. Magn Reson Med 2010; 64: 1580-1585.
54. Bennett GL, Petersein A, Mayo-Smith WW, Hahn PF, Schima W, Saini S,. Addition of gadolinium chelates to heavily T2-weighted mr imaging limited role in differentiating hepatic hemangiomas from metastases. Am J Roentgenol 2000; 174: 477-485.
55. Jensen JH, Helpern JA, Ramani A, Lu H, Kaczynski K,. Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med 2005; 53: 1432-1440.
56. Yablonskiy DA, Bretthorst GL, Ackerman JJH,. Statistical model for diffusion attenuated MR signal. Magn Reson Med 2003; 50: 664-669.
57. Bennett KM, Schmainda KM, Rowe DB, Lu H, Hyde JS,. Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential model. Magn Reson Med 2003; 50: 727-734.