New study evaluates efficacy of PET imaging to manage chronic liver diseases

Sometimes immune cells work a little too hard, leading to attacks on our organs, especially in instances of organ transplant. What results is a lifetime reliance on immunosuppressant drugs, which need to be carefully administered to ensure they are working as intended without dangerous side effects. Physicians look for T cells to determine whether an organ is under attack, requiring a biopsy to sample tissues. Now, PET imaging might offer a non-invasive alternative in the case of immune cell attack on the liver.

A team of researchers created a preclinical mouse model, testing the use of PET imaging to image T cells in the liver. The study shows that PET with the 18F-FAC radiotracer can be used to image T cells as they attack the liver or during treatment with an immunosuppressive drug.

"The personalized treatment of patients suffering from immune attack on the liver will require precise and quantitative methods for measuring T cells in the liver," said Peter Clark, PhD. "Our work describes in a preclinical model one such way of doing this. We envision that if this approach is translated into the clinic, it could lead to fewer liver biopsies and more precise treatment of patients with immune-related liver disease."

The team said they hope this study and others open the possibility of using molecular imaging to diagnose and manage chronic liver diseases as they become increasingly prevalent around the world.

"We and others are working to identify where and how molecular imaging and nuclear medicine could be used to improve the diagnosis and treatment of liver disease," Dr. Clark said. "Our study is just one example of this, but it adds to growing literature that suggests an important role for PET in the liver field."

Authors of "18F-FAC PET Selectively Images Hepatic Infiltrating CD4 and CD8 T Cells in a Mouse Model of Autoimmune Hepatitis" include Jessica Salas, Bao Ying Chen, Alicia Wong, Dongui Cheng, Owen Witte and Peter Clark, University of California, Los Angeles, and John Van Aram, University of Pennsylvania, Philadelphia.