Patient selection for transcatheter edge-to-edge mitral valve repair (TMVR) remains challenging because of heterogenous mitral valve pathology and highly variable anatomy. The aim of this study was to investigate whether quantitative three-dimensional (3D) transesophageal echocardiographic modeling parameters are associated with optimal mitral regurgitation (MR) reduction in patients undergoing TMVR.

Fifty-nine patients underwent 3D transesophageal echocardiography during TMVR. Volumetric data sets were retrospectively analyzed using mitral valve quantitative 3D modeling software (Mitral Valve Navigator). Optimal MR reduction was defined as less than moderate residual MR. Logistic regression was used to correlate 3D transesophageal echocardiographic quantitative data to procedural success.

Thirty-five patients had primary MR, 24 had mixed or secondary MR, and all patients had grade ≥ 3/4 MR before the procedure. Optimal MR reduction was achieved in 40 of 59 patients (68%). Univariate correlates of optimal MR reduction in patients with primary MR were lower mitral leaflet tenting volume (P = .049) and lower tenting height (P = .025); tenting height < 3 mm and tenting volume < 0.7 mL were associated with increased likelihood of optimal MR reduction (92% vs 48% [P = .01] and 81% vs 47% [P = .03], respectively). In mixed or secondary MR, annular height ≥ 5.5 mm was associated with increased likelihood of optimal MR reduction (94% vs 38%; P = .03). During follow-up, redo TMVR or surgical mitral valve replacement occurred exclusively in patients with suboptimal anatomy defined by 3D transesophageal echocardiography (10% vs 0%, P = .045).

Quantitative 3D echocardiographic data are associated with favorable response to TMVR and could help optimize patient selection.