Journals / Marmara Medical Journal / 2020 / Cilt: 33 - Sayı: 2

The role of diffusion tensor imaging for the assessment of liver fibrosis and inflammation in chronic viral hepatitis: A preliminary study

Pages
97–101
DOI
—
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The sensitivity and specificity of Fa were 90.9% and 100%, respectively.Conclusion: Diffusion tensor imaging may play a role in the evaluation of fibrosis and HAI scores in patients with liver fibrosis.

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Objective & Hypothesis:Objective: To evaluate the role of magnetic resonance (MR) diffusion tensor imaging (DTI) in the assessment of liver fibrosis andinflammation in chronic viral hepatitis by measuring apparent diffusion coefficient (ADC) and fractional anisotropy (Fa) values.Material and Methods: Twenty-seven patients (5 women and 22 men;mean age39.8±11.3) with hepatic fibrosis were included inour study.
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Key Findings & Data:Patients were subgrouped as group A (fibrosis score 1) and group B (fibrosis score 3).
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Conclusion & Impact:The sensitivity and specificity of Fa were 90.9% and 100%, respectively.Conclusion: Diffusion tensor imaging may play a role in the evaluation of fibrosis and HAI scores in patients with liver fibrosis.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Hepatitis · Liver fibrosis · Diffusion tensor imaging

Abstract

Objective: To evaluate the role of magnetic resonance (MR) diffusion tensor imaging (DTI) in the assessment of liver fibrosis andinflammation in chronic viral hepatitis by measuring apparent diffusion coefficient (ADC) and fractional anisotropy (Fa) values.Material and Methods: Twenty-seven patients (5 women and 22 men;mean age39.8±11.3) with hepatic fibrosis were included inour study. The relationship between ADC, Fa values and histological activity index (HAI) score were evaluated using Spearman’scorrelation coefficient. Patients were subgrouped as group A (fibrosis score 1) and group B (fibrosis score 3). The mean ADC and Favalues of groups A and B were compared using Student’s t-test. To evaluate the use of ADC and Fa values in distinguishing group Afrom group B, ROC analysis was applied; sensitivities and specificities were calculated.Results: Fa values correlated with HAI scores significantly (r=0.397, p<0.05) The difference was significant between the mean ADCvalues (group A:1.46± 0.191x103mm2/s; group B:1.105± 0.141x10-3 mm2/s; p<0.001) and Fa values (group A: 0.473±0.091; groupB: 0.643± 0.007; p<0.001) between the groups. For distinguishing group A from group B, ADC had a sensitivity of 81.8% and aspecificity of 93.8%. The sensitivity and specificity of Fa were 90.9% and 100%, respectively.Conclusion: Diffusion tensor imaging may play a role in the evaluation of fibrosis and HAI scores in patients with liver fibrosis.

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Cite This Article

UĞURLAR, Ö. Y., BUĞDACI, M. S., MAHMUTOĞLU, A. S., ALATAŞ, C. A., ÖZGÜVEN, B. Y., ÖZEL, A., BAŞAK, M., AYKUT, Y., ÖZKURT, H., ERTURK, Ş. M. (2020). The role of diffusion tensor imaging for the assessment of liver fibrosis and inflammation in chronic viral hepatitis: A preliminary study. Marmara Medical Journal, Cilt: 33 - Sayı: 2, 97–101. https://ajindex.com/articles/283789

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References (9)

  1. Taouli B, Chouli M, Martin AJ, et al. Chronic hepatitis: role of diffusion weighted imaging and diffusion tensor imaging for the diagnosis of liver fibrosis and inflammation. J Magn Reson Imaging 2008; 28:89-95. doi.org/10.1002/jmri.21227
  2. Annet L, Peeters F, Abarca-Quinones J, Leclercq I, Moulin P, Van Beers BE. Assessment of diffusion-weighted MR imaging in liver fibrosis. J Magn Reson Imaging 2007; 25:122-8. doi:10.1002/jmri.20771
  3. Aguirre DA, Behling CA, Alpert E, Hassanein TI, Sirlin CB. Liver fibrosis: noninvasive diagnosis with double contrast material-enhanced MR imaging. Radiology 2006;239:425-37. doi.org/10.1148/radiol. 239.205.0505
  4. Bonekamp S, Torbenson MS, Kamel IR. Diffusion-weighted magnetic resonance ımaging for the staging of liver fibrosis. J Clin Gastroenterol 2011;45:885-92. doi: 10.1097/ MCG.0b013e318223bd2c
  5. Sandrasegaran K, Fatih M, Akisik FM, et al. Value of diffusionweighted MRI for assessing liver fibrosis and cirrhosis. Am J Roentgenol 2009;193:1556-60. doi:10.2214/AJR.09.2436 [6] Koinuma MN, Ohashi I, Hanafusa K, et al. Apparent diffusion coefficient measurements with diffusion-weighted magnetic resonance imaging for evaluation of hepatic fibrosis. J Magn Reson Imaging 2005;22:80-5.doi. org/10.1002/jmri.20344. [7] 7. Taouli B, Toila AJ, Losada M, et al. Diffusion-weighted MRI for quantification of liver fibrosis: preliminary experience. Am J Roentgenol 2007;189:799-806. doi:10.2214/AJR.07.2086. [8] 8. Girometti R, Furlan A, Bazzocchi M, etal. Diffusionweighted MRI in evaluating liver fibrosis: a feasibility study in cirrhotic patients. Radiol Med 2007;112:394-408. doi: 10.1007/ s11547.007.0149-1
  6. Soylu A, Kılıçkesmez Ö, Poturoğlu Ş, et.al. Utility of diffusionweighted MRI for assessing liver fibrosis in patients with chronic active hepatitis. Diagn Interv Radiol 2010; 16:204-8. doi: 10.4261/1305-3825.DIR. 2810-09.1
  7. Bakan AA, Inci E, Bakan S, Gokturk S, Cimilli T. Utility of diffusion-weighted imaging in the evaluation of liver fibrosis. EurRadiol 2012;22: 682-7. doi:10.1007/s00330.011.2295-z
  8. Taouli B, Martin AJ, Qayyum A, Merriman RB, et.al. Parallel imaging and diffusion tensor imaging for diffusion-weighted MRI of the liver: Preliminary experience in healthy volunteers. AJR Am J Roentgenol 2004;183:677-80. doi: 10.2214/ ajr.183.3.1830677
  9. Knodell RG, Ishak KG, Black WC, et al. Formulation and application of a numerical scoring system for assessing histological activity in asymptomatic c