Co-registered optical coherence tomography and X-ray angiography for the prediction of fractional flow reserve

In this study, we used a challenging dataset, with 46% of the lesions falling within the FFR range of 0.75 to 0.85. Despite this complexity, our model achieved an accuracy of 84.3%, demonstrating a sensitivity of 87.5% and a specificity of 81.4%. Our results demonstrate that incorporating both OCT and XA signals, co-registered, as inputs for the DNN model leads to an important increase in overall accuracy.

http://rd.springer.com/10.1007/s10554-024-03069-z

Source: The International Journal of Cardiovascular Imaging - February 20, 2024 Category: Radiology Source Type: research