Consecutive CT in vivo lung imaging as quantitative parameter of influenza vaccine efficacy in the ferret model.

Abstract

Preclinical vaccine efficacy studies are generally limited to certain read out parameters such as assessment of virus titers in swabs and organs, clinical signs, serum antibody titers, and pathological changes. These parameters are not always routinely applied and not always scheduled in a logical standardized way. We used computed tomography (CT) imaging as additional and novel read out parameter in a vaccine efficacy study by quantifying alterations in aerated lung volumes in ferrets challenged with the 2009 pandemic A/H1N1 influenza virus. Vaccination protected from marked variations in aerated lung volumes compared to naive controls. The vaccinated group showed a daily gradual mean reduction with a maximum of 7.8%, whereas the controls showed a maximum of 14.3% reduction. The pulmonary opacities evident on CT images were most pronounced in the placebo-treated controls, and corresponded to significantly increased relative lung weights at necropsy. This study shows that consecutive in vivo CT imaging allows for a day to day read out of vaccine efficacy by quantification of altered aerated lung volumes.