Functional Respiratory Imaging (FRI) in combination with A.I. predicts early-life wildfire smoke exposure with accuracy and sensitivity in excess of 90%.

During the coming ERS conference ( Sept 29- Oct 2 in Madrid, Spain)  Fluidda will present the results of a study which investigated if FRI parameters can distinguish early-life wildfire smoke exposed animals from healthy controls. A cohort of 14  wildfire smoke exposed and 14 non-exposed, age and size matched adult female Rhesus monkeys was analyzed using HRCT and FRI processing. In total, 26 FRI parameters were found statistically significant, of which lobe volume, ventilation-perfusion ratio, blood vessel density and specific airway radius were most significant. 

This study indicates that FRI is a sensitive tool for detecting early-life wildfire exposure.

From the study results it was clear that monkeys that were exposed to wildfire smoke at a young age had significantly less developed lobes (A), a bigger bloodvessel caliber (B) as well as a bigger airway caliber (C).

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