Philips shares late-breaking preliminary clinical data at ESC Congress 2026 on AI-powered 3D Auto CFQ for mitral regurgitation assessment

Philips shared late-breaking preliminary clinical data presented at European Society of Cardiology (ESC) Congress 2026 demonstrating that its AI-powered 3D Auto CFQ (Color Flow Quantification) technology produced mitral regurgitation measurements that more closely matched  cardiac magnetic resonance imaging (CMR) than the conventional two-dimensional proximal isovelocity surface area (2D PISA) method. The findings suggest the ultrasound-based assessment may provide clinicians with a more physiological approach for evaluating mitral regurgitation.

Mitral regurgitation, one of the most common heart valve diseases worldwide, is a condition where the mitral valve fails to close tightly. An accurate assessment of disease severity is essential for treatment planning. Current guideline-recommended quantitative approaches such as the 2D PISA method, rely on geometric assumptions and single-frame measurements that can limit accuracy, particularly in patients with multiple or eccentric regurgitant jets. 

Philips' AI-powered 3D Auto CFQ algorithm uses 3D transesophageal echocardiography to dynamically reconstruct and track the regurgitant convergence zone throughout systole. By accounting for changes in the regurgitant orifice area and multiple regurgitant jets, the technology is designed to provide a more comprehensive assessment of regurgitant volume.

"Accurate quantification of mitral regurgitation is essential for clinical decision making, yet conventional approaches have well-recognized limitations," said Victoria Delgado, MD, PhD, Hospital University Germans Trias i Pujol, Badalona, Spain. "By providing measurements that more closely match cardiac magnetic resonance than conventional 2D PISA-based methods, these findings suggest AI-powered 3D Auto CFQ may help clinicians more consistently quantify mitral regurgitation across a wider variety of disease presentation."

In the ongoing prospective, observational, multicenter international study, investigators compared mitral regurgitation volume measurements derived using Philips 3D Auto CFQ and conventional 2D PISA with CMR-derived imaging as the established reference method. Preliminary findings have shown that when compared to conventional MR quantification methods, which do not take into consideration changes in the regurgitant orifice throughout systole, 3D Auto CFQ produces lower mitral regurgitant volumes, demonstrating superior agreement with CMR-derived regurgitant volumes, (bias +7 mL versus +14 mL and regurgitant volume ρ=0.77). In addition, for the first time, a reclassification of severity according to conventional and 3D Auto CFQ methods, was assessed.

The findings suggest Philips’ AI-powered ultrasound-based 3D Auto CFQ technology may make it easier for clinicians to assess and monitor patients with mitral regurgitation over time. By enabling more timely information in cases where disease presentation previously made this more difficult, the technology may help support faster care decisions.

Learn more about Philips' AI innovations in cardiology at Ultrasound AI solutions - Philips 

*Presented ESC Congress 2026: Carlo Federico Guarino, MD University Hospital Germans Trias i Pujol, Badalona Spain, et al. Novel 3-dimentional echocardiographic quantification of mitral regurgitation volume. Data presented at the European Society of Cardiology Congress 2026, Munich, Germany, August 31,2026.