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Published on: May 29, 2020
Autoimmune hepatitis: CT and MR imaging features with histopathological correlation
V Anik Sahni1, Girish Raghunathan, Banafsche Mearadji
1Division of Abdominal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Computed tomography (CT) and magnetic resonance (MR) imaging reveal diverse features in autoimmune hepatitis (AIH). Certain imaging findings correlate with advanced fibrotic stage in AIH patients.
Area of Science:
- Radiology
- Hepatology
- Immunology
Background:
- Autoimmune hepatitis (AIH) is a chronic liver disease characterized by immune-mediated hepatocyte damage.
- Accurate diagnosis and staging of AIH are crucial for effective management and prognosis.
- Imaging plays a role in assessing liver morphology and disease progression in AIH.
Purpose of the Study:
- To characterize computed tomography (CT) and magnetic resonance (MR) imaging findings in patients with autoimmune hepatitis (AIH).
- To correlate imaging features with histological grade and stage of AIH.
- To describe imaging changes observed during treatment for AIH.
Main Methods:
- Retrospective analysis of initial CT (n=22) and MRI (n=12) scans from 27 pathologically-proven AIH patients.
- Evaluation of objective and subjective imaging features, correlating them with histological inflammatory grade and fibrotic stage.
- Serial imaging during treatment was assessed in eight patients.
Main Results:
- Significant positive correlations were found between ascites, expanded gallbladder fossa, spleen size, enlarged preportal space, and fibrotic stage.
- No significant correlations were observed between imaging features and inflammatory grade.
- Surface nodularity was the most common abnormal finding (CT: 50%, MRI: 66.7%); 25.9% of patients had normal initial scans.
Conclusions:
- CT and MR imaging demonstrate a broad spectrum of features in AIH.
- Specific MRI findings show a significant positive correlation with the fibrotic stage of AIH, aiding in non-invasive assessment.
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