Abstract No. 6 Deep Learning Diagnosis of Femoropopliteal Artery Stenosis Using MIP Images from CT Angiography

Peripheral arterial occlusive disease (PAOD) can be diagnosed using lower extremity computed tomography angiography (CTA), assessing stenosis in arteries of lower extremities. We aimed to develop and evaluate a deep learning-based detection algorithm for the preliminary screening and interpretation of significant stenosis in the lower extremity arteries, with a focus on the femoropopliteal artery, based on maximum intensity projection (MIP) images of lower extremity CTA in patients with PAOD.

Peripheral arterial occlusive disease (PAOD) can be diagnosed using lower extremity computed tomography angiography (CTA), assessing stenosis in arteries of lower extremities. We aimed to develop and evaluate a deep learning-based detection algorithm for the preliminary screening and interpretation of significant stenosis in the lower extremity arteries, with a focus on the femoropopliteal artery, based on maximum intensity projection (MIP) images of lower extremity CTA in patients with PAOD.