Abdominal Imaging

, Volume 33, Issue 1, pp 58–64

Compensated hepatitis C: unenhanced MR imaging correlated with pathologic grading and staging

  • Donald G. Mitchell
  • Victor J. Navarro
  • Steven K. Herrine
  • Diane Bergin
  • Laurence Parker
  • Andrea Frangos
  • Peter McCue
  • Raphael Rubin
Article

DOI: 10.1007/s00261-007-9203-7

Cite this article as:
Mitchell, D.G., Navarro, V.J., Herrine, S.K. et al. Abdom Imaging (2008) 33: 58. doi:10.1007/s00261-007-9203-7

Abstract

Background

We prospectively examined unenhanced MR imaging findings in relation to pathologic fibrosis, inflammation and steatosis in patients with compensated chronic hepatitis C viral infection (HCV).

Methods

Unenhanced MRI at 1.5 T was obtained within one month of core liver biopsy in 64 consecutive candidates for antiviral therapy for compensated HCV. Two pathologists independently graded inflammatory activity index (HAI) and steatosis, and staged fibrosis (grades 0–6). Morphologic MRI findings of cirrhosis, periportal lymph nodes, and MR fat signal ratio from dual gradient echo images were assessed independently by two radiologists blinded to clinical data. MRI and laboratory liver function results were correlated with pathologic results, using Spearman correlation coefficient and stepwise multiple regression.

Results

MR fat signal ratio correlation coefficient with pathologic steatosis was 0.71 (p < 0.0001). Coefficients with fibrosis stage were highest for surface nodularity (rs = 47, < 0.0001) and expanded gallbladder fossa (rs = 0.42, p = 0.0006). Coefficients with HAI were highest for lymph node size (rs = 0.355, p = 0.0040), surface nodularity (r = 0.47, p < 0.0001), expanded gallbladder fossa (r = 0.332, p = 0.0073), and caudate/right lobe ratio (r = 0.326, p = 0.0110). Combined lab and MRI variables provided the best prediction of fibrosis stage (r2 = 0.656) and HAI (r2 = 0.597).

Conclusions

A combination of MRI and laboratory findings was most predictive of fibrosis and inflammation.

Keywords

LiverCirrhosisMRIHepatitis

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Donald G. Mitchell
    • 1
    • 4
  • Victor J. Navarro
    • 2
  • Steven K. Herrine
    • 2
  • Diane Bergin
    • 1
  • Laurence Parker
    • 1
  • Andrea Frangos
    • 1
  • Peter McCue
    • 3
  • Raphael Rubin
    • 3
  1. 1.Department of RadiologyThomas Jefferson UniversityPhiladelphiaUSA
  2. 2.Department of Gastroenterology/HepatologyThomas Jefferson UniversityPhiladelphiaUSA
  3. 3.Department of PathologyThomas Jefferson UniversityPhiladelphiaUSA
  4. 4.Department of RadiologyThomas Jefferson University HospitalPhiladelphiaUSA