21. How to Evaluate Aortic Regurgitation using TEE - Part 2 of 2 - TEE for Aortic Valve Surgery

In TEE Time Episode 21, we discuss properly evaluating aortic regurgitation (AR) using TEE and how findings affect perioperative care for aortic valve repair/replacement. Building on part one, the video reviews the TEE view sequence (ME AV SAX/LAX, ME ascending aorta LAX, deep TG 5-chamber or TG LAX, ME descending aorta LAX) and the six valve-evaluation categories: clinical information, 2D echo, Doppler, quantitative parameters, 3D echo, and other echo data, remembered with the “C2-DQ-3DO” mnemonic. It covers hemodynamic effects (BP/HR), leaflet anatomy/quality/function, coaptation length, annulus/LVOT/aortic measurements and surgical thresholds, bicuspid valve classification and implications, Doppler criteria (vena contracta, jet width, pressure half-time, flow reversal), limitations of PISA/stroke-volume methods, 3D vena contracta area for EROA, and assessment of MV/LV/aorta and associated bicuspid findings, emphasizing mechanism, location, and severity using ASE 2017 guidance.   00:00 AR TEE Overview 01:13 Six Pillars Framework 02:05 Valve Robot Mnemonic 03:06 Clinical Context First 03:59 2D Valve Anatomy 06:32 Annulus And Aorta Measures 09:31 Bicuspid Valve Classification 11:19 Color Doppler Clues 13:32 Spectral Doppler Metrics 15:15 Flow Reversal In Aorta 17:00 Quant Methods Limits 17:47 3D Vena Contracta Area 19:02 Other Cardiac Data 21:26 Key Takeaways Wrap Up 22:29 Next Episode And Thanks   #TEE #Echocardiography #Anesthesia #Cardiology #CriticalCare #EmergencyMedicine #Sonographer #CardiacSurgery #FOAMed #POCUS #Ultrasound #Anesthesiology #Perioperative #CardiacAnesthesia #AnesthesiaPodcast #Anesthesiology #Echo #Surgery #AdvancedTEE #PerioperativeTEE #TTE #Sonography #PulmCrit #TEETime #RescueTEE #TransesophagealEchocardiography #CVICU #ICU #ASE360   DISCLAIMER: This podcast provides recommendations intended for educational purposes only and should not be used as the sole basis for making medical decisions. The information reflects expert opinions rather than scientifically-verified data, and no express or implied warranties are made regarding its accuracy, completeness, or fitness for any particular purpose. Listeners are encouraged to verify all information independently and consult additional reliable sources. Neither the authors, publishers, nor any parties involved assume responsibility for any errors, omissions, or outcomes resulting from the use of this material. All non-original material featured in this podcast is either used with explicit permission from the copyright owner or is believed to fall under the Fair Use provisions of U.S. copyright law for purposes such as education, commentary, and criticism. If you believe any material has been used improperly, please contact the author directly so the matter can be promptly reviewed and addressed.