Noninvasive classification of hepatic fibrosis based on texture parameters from double contrast-enhanced magnetic resonance images

Journal of Magnetic Resonance Imaging

Volumn 36, Issue 5, 2012, Pages 1154-1161

  Bahl, Gautam ^a   Cruite, Irene ^a   Wolfson, Tanya ^b   Gamst, Anthony C ^b   Collins, Julie M ^a   Chavez, Alyssa D ^a   Barakat, Fatma ^c   Hassanein, Tarek ^c   Sirlin, Claude B ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Southern California Liver Centers   (United States)

Author keywords

double contrast enhanced MRI; GLM path; hepatic fibrosis; MaZda; quantitative texture analysis

Indexed keywords

GADOVERSETAMIDE; SUPERPARAMAGNETIC IRON OXIDE;

ADULT; AGED; ANALYSIS; COMPUTER PROGRAM; CONTRAST ENHANCEMENT; DISEASE CLASSIFICATION; FEMALE; GENERALIZED LINEAR MODEL; HISTOPATHOLOGY; HUMAN; LIVER DISEASE; LIVER FIBROSIS; MAJOR CLINICAL STUDY; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTIVE VALUE; PRIORITY JOURNAL; QUANTITATIVE TEXTURE ANALYSIS; RETROSPECTIVE STUDY; REVIEW; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; TERTIARY HEALTH CARE;

ADULT; AGED; CONTRAST MEDIA; DEXTRANS; FEMALE; GADOLINIUM DTPA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIVER CIRRHOSIS; MAGNETIC RESONANCE IMAGING; MAGNETITE NANOPARTICLES; MALE; MIDDLE AGED; PILOT PROJECTS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84867819831     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.23759     Document Type: Review

References (50)

1. Trends in mortality from cirrhosis and alcoholism-United States, 1945-1983. MMWR Morb Mortal Wkly Rep 1986; 35: 703-705.
2. Afdhal NH,. Biopsy or biomarkers: is there a gold standard for diagnosis of liver fibrosis? Clin Chem 2004; 50: 1299-1300.
3. Afdhal NH, Nunes D,. Evaluation of liver fibrosis: a concise review. Am J Gastroenterol 2004; 99: 1160-1174.
4. Talwalkar JA, Kim WR,. Medical and economic impact of autoimmune hepatitis. Clin Liver Dis 2002; 6: 649-667.
5. Little AF, Ferris JV, Dodd GD 3rd, Baron RL,. Image-guided percutaneous hepatic biopsy: effect of ascites on the complication rate. Radiology 1996; 199: 79-83.
6. Angelucci E, Baronciani D, Lucarelli G, et al. Needle liver biopsy in thalassaemia: analyses of diagnostic accuracy and safety in 1184 consecutive biopsies. Br J Haematol 1995; 89: 757-761.
7. Bruguera M, Bordas JM, Mas P, Rodes J,. A comparison of the accuracy of peritoneoscopy and liver biopsy in the diagnosis of cirrhosis. Gut 1974; 15: 799-800.
8. Froehlich F, Lamy O, Fried M, Gonvers JJ,. Practice and complications of liver biopsy. Results of a nationwide survey in Switzerland. Dig Dis Sci 1993; 38: 1480-1484.
9. Lindor KD, Bru C, Jorgensen RA, et al. The role of ultrasonography and automatic-needle biopsy in outpatient percutaneous liver biopsy. Hepatology 1996; 23: 1079-1083.
10. Maharaj B, Maharaj RJ, Leary WP, et al. Sampling variability and its influence on the diagnostic yield of percutaneous needle biopsy of the liver. Lancet 1986; 1: 523-525.
11. Olsson R, Hagerstrand I, Broome U, et al. Sampling variability of percutaneous liver biopsy in primary sclerosing cholangitis. J Clin Pathol 1995; 48: 933-935.
12. Pagliaro L, Rinaldi F, Craxi A, et al. Percutaneous blind biopsy versus laparoscopy with guided biopsy in diagnosis of cirrhosis. A prospective, randomized trial. Dig Dis Sci 1983; 28: 39-43.
13. Perrault J, McGill DB, Ott BJ, Taylor WF, Liver biopsy: complications in 1000 inpatients and outpatients. Gastroenterology 1978; 74: 103-106.
14. Poniachik J, Bernstein DE, Reddy KR, et al. The role of laparoscopy in the diagnosis of cirrhosis. Gastrointest Endosc 1996; 43: 568-571.
15. Terjung B, Lemnitzer I, Dumoulin FL, et al. Bleeding complications after percutaneous liver biopsy. An analysis of risk factors. Digestion 2003; 67: 138-145.
16. Thampanitchawong P, Piratvisuth T,. Liver biopsy: complications and risk factors. World J Gastroenterol 1999; 5: 301-304.
17. Annet L, Materne R, Danse E, Jamart J, Horsmans Y, Van Beers BE,. Hepatic flow parameters measured with MR imaging and Doppler US: correlations with degree of cirrhosis and portal hypertension. Radiology 2003; 229: 409-414.
18. Awaya H, Mitchell DG, Kamishima T, Holland G, Ito K, Matsumoto T,. Cirrhosis: modified caudate-right lobe ratio. Radiology 2002; 224: 769-774.
19. Ito K, Mitchell DG, Hann HW, et al. Viral-induced cirrhosis: grading of severity using MR imaging. AJR Am J Roentgenol 1999; 173: 591-596.
20. Materka A, Strzelecki M,. Texture analysis methods-a review. Technical University of Lodz, Institute of Electronics. COST B11 report, Brussels, 1998.
21. Hollingsworth KG, Lomas DJ,. Liver texture analysis: robustness of measurement in cirrhotic patients and healthy volunteers. In: Proc 13th Annual Meeting ISMRM, Miami Beach; 2005 (abstract 332).
22. Jirak D, Dezortova M, Taimr P, Hajek M,. Texture analysis of human liver. J Magn Reson Imaging 2002; 15: 68-74.
23. Materka A,. Mazda user's manual. Available at: http://www. eletel.p.lodz.pl/programy/mazda/download/mazda-manual.pdf
24. Szczypinski PM, Strzelecki M, Materka A, Klepaczko A,. MaZda-a software package for image texture analysis. Comput Methods Programs Biomed 2009; 94: 66-76.
25. Szczypinski PM, Strzelecki M, Materka A,. MaZda-a software package for texture analysis. In: Proc ISITC, Republic of Korea; 2007: 245-249.
26. Aguirre DA, Behling CA, Alpert E, Sirlin CB,. Liver fibrosis: noninvasive diagnosis with double contrast material-enhanced MR imaging. Radiology 2006; 239: 425-437.
27. Elizondo G, Weissleder R, Stark DD, et al. Hepatic cirrhosis and hepatitis: MR imaging enhanced with superparamagnetic iron oxide. Radiology 1990; 174: 797-801.
28. Hughes-Cassidy F, Chavez AD, Schlang A, et al. Superparamagnetic iron oxides and low molecular weight gadolinium chelates are synergistic for direct visualization of advanced liver fibrosis. J Magn Reson Imaging 2007; 26: 728-737.
29. Lucidarme O, Baleston F, Cadi M, et al. Non-invasive detection of liver fibrosis: is superparamagnetic iron oxide particle-enhanced MR imaging a contributive technique? Eur Radiol 2003; 13: 467-474.
30. Semelka RC, Chung JJ, Hussain SM, Marcos HB, Woosley JT,. Chronic hepatitis: correlation of early patchy and late linear enhancement patterns on gadolinium-enhanced MR images with histopathology initial experience. J Magn Reson Imaging 2001; 13: 385-391.
31. Poynard T, Bedossa P, Opolon P,. Natural history of liver fibrosis progression in patients with chronic hepatitis C. The OBSVIRC, METAVIR, CLINIVIR, and DOSVIRC groups. Lancet 1997; 349: 825-832.
32. Park MY, Hastie T,. L1-regularization path algorithm for generalized linear models. J R Stat Soc Ser B 2007; 69: 659-677.
33. Efron B, Hastie T, Johnstone I, Tibshirani R,. Least angle regression. Ann Stat 2004; 32: 407-499.
34. Tibshirani R,. Regression shrinkage and selection via the lasso. J R Stat Soc Ser B 1996; 58: 267-288.
35. Copas J,. Prediction and shrinkage. J R Stat Soc Ser B 1983; 45: 311-354.
36. Efron B,. The estimation of prediction error. J Am Stat Assoc 2004; 99: 619-632.
37. Colli A, Fraquelli M, Andreoletti M, Marino B, Zuccoli E, Conte D,. Severe liver fibrosis or cirrhosis: accuracy of US for detection-analysis of 300 cases. Radiology 2003; 227: 89-94.
38. Talwalkar JA,. Economic impact of hospitalization for end-stage liver disease. Am J Gastroenterol 2002; 97: 1562; author reply 1 562- 1563.
39. Tanimoto A, Yuasa Y, Shinmoto H, et al. Superparamagnetic iron oxide-mediated hepatic signal intensity change in patients with and without cirrhosis: pulse sequence effects and Kupffer cell function. Radiology 2002; 222: 661-666.
40. Imbert-Bismut F, Ratziu V, Pieroni L, et al. Biochemical markers of liver fibrosis in patients with hepatitis C virus infection: a prospective study. Lancet 2001; 357: 1069-1075.
41. Lu LG, Zeng MD, Wan MB, et al. Grading and staging of hepatic fibrosis, and its relationship with noninvasive diagnostic parameters. World J Gastroenterol 2003; 9: 2574-2578.
42. Di Lelio A, Cestari C, Lomazzi A, Beretta L,. Cirrhosis: diagnosis with sonographic study of the liver surface. Radiology 1989; 172: 389-392.
43. Hussain HK, Syed I, Nghiem HV, et al. T2-weighted MR imaging in the assessment of cirrhotic liver. Radiology 2004; 230: 637-644.
44. Ito K, Mitchell DG, Gabata T, Hussain SM,. Expanded gallbladder fossa: simple MR imaging sign of cirrhosis. Radiology 1999; 211: 723-726.
45. Taouli B, Tolia AJ, Losada M, et al. Diffusion-weighted MRI for quantification of liver fibrosis: preliminary experience. AJR Am J Roentgenol 2007; 189: 799-806.
46. Tsochatzis EA, Gurusamy KS, Ntaoula S, Cholongitas E, Davidson BR, Burroughs AK,. Elastography for the diagnosis of severity of fibrosis in chronic liver disease: a meta-analysis of diagnostic accuracy. J Hepatol 2010; 54: 650-659.
47. Huwart L, Salameh N, ter Beek L, et al. MR elastography of liver fibrosis: preliminary results comparing spin-echo and echo-planar imaging. Eur Radiol 2008; 18: 2535-2541.
48. Rouviere O, Yin M, Dresner MA, et al. MR elastography of the liver: preliminary results. Radiology 2006; 240: 440-448.
49. Yin M, Talwalkar JA, Glaser KJ, et al. Assessment of hepatic fibrosis with magnetic resonance elastography. Clin Gastroenterol Hepatol 2007; 5: 1207-1213.
50. Intraobserver and interobserver variations in liver biopsy interpretation in patients with chronic hepatitis C. The French METAVIR Cooperative Study Group. Hepatology 1994; 20: 15-20.