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The purpose of this study is to find if the Single Photon Emission Computed Tomography (SPECT) scan is as effective as a liver biopsy (using a special needle to remove tissue from the liver) in examining liver damage in patients with HIV and hepatitis C virus (HCV).
A standard way to examine the liver for disease has been to perform a liver biopsy. The SPECT scan, which takes a picture of the liver, has been found to be effective in determining liver damage but studies need to be done in patients with hepatitis. This study will compare the effectiveness of the liver biopsy and SPECT scan in determining liver disease in patients with HIV and HCV. The SPECT scan might be a good replacement for the liver biopsy if it is found to be as good as or better than liver biopsies.
Full description
Assessment with a liver biopsy is currently the standard of practice to determine the status of liver involvement in patients with HCV. A direct comparison between SPECT results and liver pathology has been examined in patients with liver disease other than infectious hepatitis. SPECT has been found to be more accurate than standard liver-spleen scans in assessing liver pathology. While current data suggest that liver pathology may correlate with SPECT, which specific SPECT parameters are predictive of certain hepatic pathology is unknown. The pilot study will compare SPECT parameters with the results of liver biopsies to determine the limitations of SPECT.
All screened patients are registered into Step 1, in which they receive a radioactive tracer injection and SPECT scan. Specific SPECT parameters will be measured to determine a grading scale corresponding to that used in liver biopsy results. Some patients undergoing a second liver biopsy in A5071 are enrolled into Step 2, with permission from protocol co-chairs, in which a pregnancy test and second SPECT scan are performed. Patients are reimbursed for completing each SPECT scan. SPECT scans or copies are reviewed to establish which parameters correspond to category E of the Knodell stage based on severity of fibrosis.
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Inclusion and exclusion criteria
Inclusion Criteria
Patients may be eligible for this study if they:
Exclusion Criteria
Patients will not be eligible for this study if they:
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Data sourced from clinicaltrials.gov
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