115 non-small cell lung cancer (NSCLC) patients undergoing chemoradiotherapy imaged with FDG PET/CT at baseline and post-treatment
Each lesion was quantified and matched between timepoints using TRAQinform IQ™ technology. Heterogeneity of response among individual lesions correlates to overall clinical outcome.
Figure: Each bar on chart represents an individual patient showing how each of their lesions are responding to treatment. Each lesion is detected, quantified and categorized as new, progressing, stable, partially responding or completely responding.
AIQ Score is an all-inclusive patient lesion analytics metric. It is calculated by using a proprietary AI algorithm that produces a single numeric value which predicts treatment response at the patient level. This multi-faceted metric has been validated across multiple large data sets.
The chart above indicates a prediction of a individual patient's clinical outcome compared to a population.