RESUMEN
Valve-in-valve (ViV) transcatheter aortic valve replacement (TAVR) has been associated with favorable outcomes in patients with degenerated stentless bioprosthesis. However, whether the outcomes after ViV TAVR for failed stentless bioprosthesis differ between balloon-expandable valves (BEVs) and self-expanding valves (SEVs) remains unknown. Therefore, we retrospectively analyzed 59 consecutive patients who underwent ViV TAVR for failed stentless bioprsothesis with BEVs (nâ¯=â¯42) versus SEVs (nâ¯=â¯17) in a single-health care system between 2013 and 2022. Overall, the mean age was 70.8 years and 74.6% were men. The mean transcatheter valve size was 26.3 ± 2.2 mm for BEVs and 26.4 ± 4 mm for SEVs (pâ¯=â¯0.93). The mean Society of Thoracic Surgeons score was 6.0 ± 3.6 for BEVs and 7.5 ± 5.5 for SEVs (pâ¯=â¯0.22). Compared with patients who received BEVs, those who received SEVs had higher rates of device malposition (2.4% vs 23.5%, p <0.01), postdeployment balloon dilation (11.9% vs 35.5%, pâ¯=â¯0.04) and need for a second transcatheter device (2.4% vs 35.5%, p <0.01). However, both groups showed similar improvement in aortic valve function at 30-day and 1-year follow-up (incidence of 1-year severe patient-prosthesis mismatch in BEVs: 17.6% vs 14.3% in SEVs, pâ¯=â¯0.78). The 1- and 3-year mortality did not differ between BEVs and SEVs (11.9% vs 11.8% and 25% vs 30%, respectively, Log rank pâ¯=â¯0.9). In conclusion, performing ViV TAVR for failed stentless bioprsothesis is technically challenging, especially when using SEVs; however, satisfactory positioning is possible in most cases, with excellent hemodynamic and clinical outcomes with BEVs and SEVs.
RESUMEN
The accurate recognition of multiple sclerosis (MS) lesions is challenged by the high sensitivity and imperfect specificity of MRI. To examine whether longitudinal changes in volume, surface area, 3-dimensional (3D) displacement (i.e. change in lesion position), and 3D deformation (i.e. change in lesion shape) could inform on the origin of supratentorial brain lesions, we prospectively enrolled 23 patients with MS and 11 patients with small vessel disease (SVD) and performed standardized 3-T 3D brain MRI studies. Bayesian linear mixed effects regression models were constructed to evaluate associations between changes in lesion morphology and disease state. A total of 248 MS and 157 SVD lesions were studied. Individual MS lesions demonstrated significant decreases in volume < 3.75mm3 (p = 0.04), greater shifts in 3D displacement by 23.4% with increasing duration between MRI time points (p = 0.007), and greater transitions to a more non-spherical shape (p < 0.0001). If 62.2% of lesions within a given MRI study had a calculated theoretical radius > 2.49 based on deviation from a perfect 3D sphere, a 92.7% in-sample and 91.2% out-of-sample accuracy was identified for the diagnosis of MS. Longitudinal 3D shape evolution and displacement characteristics may improve lesion classification, adding to MRI techniques aimed at improving lesion specificity.