Cerebral aneurysm occlusion at 12-month follow-up after flow-diverter treatment: statistical modeling for V&V with real-world data
; Fernández, Héctor ; Larrabide, Ignacio 
Otros responsables
Fecha
09/2021
Editorial
Frontiers Media
Revista
Frontiers in Medical Technology
Título del libro
Nombre del evento
Fecha del evento
Institución organizadora
ISSN
eISSN
2673-3129
ISBN
Idioma
Inglés
Tipo del evento
Clasificación temática
Palabras clave
Resumen
Background: Flow-Diverter (FD) porosity has been pointed as a critical factor in theocclusion of cerebral aneurysms after treatment.Objective: Verification and Validation of computational models in terms of predictivecapacity, relating FD porosity and occlusion after cerebral aneurysms treatment.Methods: Sixty-four aneurysms, with pre-treatment and follow-up images, wereconsidered. Patient demographics and aneurysm morphological information werecollected. The computational simulation provided by ANKYRAS provided FD porosity,expansion, and mesh angle. FD occlusion was assessed and recorded from follow-upimages. Multiple regression Logit and analysis of covariance (ANCOVA) models wereused to model the data with both categorical and continuous models.Results: Occlusion of the aneurysm after 12 months was affected by aneurysmmorphology but not by FD mesh morphology. A Time-To-Occlusion (TTO) of 6.92 monthson average was observed with an SE of 0.24 months in the aneurysm populationsurveyed. TTO was estimated with statistical significance from the resulting model forthe data examined and was capable of explaining 92% of the data variation.Conclusions: Porosity was found to have the most correction power when assessingTTO, proving its importance in the process of aneurysm occlusion. Still, further Verificationand Validation (V&V) of treatment simulation in more extensive, multi-center, andrandomized databases is required.
Colecciones
Aprobación
Revisión
Complementado por
Referenciado por
Licencia Creative Commons
Excepto donde se indique lo contrario, la licencia de este ítem se describe como by
