Intravoxel incoherent motion imaging for diagnosing and staging the liver fibrosis and inflammation.

Purpose: To evaluate the diagnostic accuracy of intravoxel incoherent motion (IVIM) model parameters for the diagnosis and staging of liver fibrosis and inflammation in patients with chronic hepatitis B. Methods: Fifty-four patients with chronic hepatitis B and 42 healthy volunteers were included in...

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Publicado en:Abdominal Radiology Vol. 45; no. 1; pp. 15 - 24
Autores principales: Tosun, Mesude, Onal, Tugay, Uslu, Hande, Alparslan, Burcu, Çetin Akhan, Sıla
Formato: Journal Article
Publicado: Springer Nature Jan2020
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2020
      vid: 45
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00261-019-02300-z
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        atl: Intravoxel incoherent motion imaging for diagnosing and staging the liver fibrosis and inflammation.
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        au:
          Tosun, Mesude
          Onal, Tugay
          Uslu, Hande
          Alparslan, Burcu
          Çetin Akhan, Sıla
        affil: Department of Radiology, Kocaeli University School of Medicine, Kocaeli, Turkey
      sug:
      ab: Purpose: To evaluate the diagnostic accuracy of intravoxel incoherent motion (IVIM) model parameters for the diagnosis and staging of liver fibrosis and inflammation in patients with chronic hepatitis B. Methods: Fifty-four patients with chronic hepatitis B and 42 healthy volunteers were included in the study. All subjects were examined by 3 T magnetic resonance imaging. Diffusion-weighted imaging was undertaken with sixteen b values. IVIM parameters [D (true diffusion coefficient), D* (pseudo-diffusion coefficient), f (perfusion fraction)] were calculated. Histological evaluation of biopsy samples was considered the reference standard for the staging of liver fibrosis and inflammation. Differences in IVIM parameters between patient and control groups were analyzed. In the patient group, fibrosis stage and inflammation grade groups were analyzed with respect to IVIM parameters. The correlation was assessed between IVIM parameters and Ishak-modified scale of fibrosis stages and inflammation grades. Results: The D was significantly lower in the patient group than the control group, p = 0.038 with Cohen's d effect size of 0.452. D was significantly different between fibrosis stage levels. D values decreased in fibrosis stages from the minimal to moderate to marked fibrosis. Fibrosis grades significantly negatively correlated with D and D* values, p = 0.001, and 0.021, respectively. In addition, inflammation grades negatively correlated with f values, p = 0.047. Conclusion: D values measured with IVIM imaging may help to diagnose liver fibrosis. IVIM imaging could be an alternative to liver biopsy for the staging of liver fibrosis.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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