Abstract 10650: Artificial Intelligence Correlates with Expert Aortic Measurements in Presurgical CTA Evaluation for Transcatheter Aortic Valve Replacement

• Published in: Circulation (New York, N.Y.) N.Y.), 2021-11, Vol.144 (Suppl_1), p.A10650-A10650
• Main Authors: Lineberger, John P, Mercer, Megan, Aquino, Gilberto, Leaphart, Nathan, Dean, Brian, Nance, Sophia, Mulji, Anand, Wortham, Andrew, Chamberlin, Jordan, Schoepf, Joseph, Waltz, Jeffrey, Burt, Jeremy R
• Format: Article
• Language: English
• ISSN: 0009-7322; 1524-4539
• DOI: 10.1161/circ.144.suppl_1.10650

Introduction/HypothesisTranscatheter aortic valve replacement (TAVR) requires pre-surgical planning via CTA. Our purpose is to compare pre-TAVR CTA expert measurements versus an AI in a pilot study. MethodsAn AI model was created using Unett++ with a Resnet18 encoder, and was trained using transfer learning. A total of 52 randomized patients with a preTAVR CTA were identified for AI validation. The average diameter from 3 aortic segments was measured by AIannulus, sinuses of Valsalva, and sinotubular junction. Of the original 52 subjects, 39 patients had expert measurements for comparison with AI results. Standard statistical analysis was performed. ResultsPatients were 65% male and 88% Caucasian. The median age and BMI were 82 years and 28 kg/m2, respectively. A Sorensen-Dice coefficient of 0.93 was attained between the expert and AI measurements. Annulus (Pearson r = 0.911), sinuses of Valsalva (r = 0.919), and sinotubular junction (r = 0.874) average diameter measurements correlated with the experts’ (p