Automatic Assessment of Transcatheter Aortic Valve Implantation Results on Four-Dimensional Computed Tomography Images Using Artificial Intelligence.

Autor: Busto L; Cardiology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), 36312 Vigo, Spain., Veiga C; Cardiology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), 36312 Vigo, Spain., González-Nóvoa JA; Cardiology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), 36312 Vigo, Spain., Campanioni S; Cardiology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), 36312 Vigo, Spain., Juan-Salvadores P; Cardiology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), 36312 Vigo, Spain., Jiménez Díaz VA; Cardiology Department, Complexo Hospitalario Universitario de Vigo (SERGAS), Álvaro Cunqueiro Hospital, 36312 Vigo, Spain., Baz JA; Cardiology Department, Complexo Hospitalario Universitario de Vigo (SERGAS), Álvaro Cunqueiro Hospital, 36312 Vigo, Spain., Alba-Castro JL; atlanTTic Research Center for Telecommunication Technologies, University of Vigo, 36310 Vigo, Spain., Kütting M; New Valve Technology/Biosensors, 72379 Hechingen, Germany., Íñiguez A; Cardiology Department, Complexo Hospitalario Universitario de Vigo (SERGAS), Álvaro Cunqueiro Hospital, 36312 Vigo, Spain.
Jazyk: angličtina
Zdroj: Bioengineering (Basel, Switzerland) [Bioengineering (Basel)] 2023 Oct 16; Vol. 10 (10). Date of Electronic Publication: 2023 Oct 16.
DOI: 10.3390/bioengineering10101206
Abstrakt: Transcatheter aortic valve implantation (TAVI) is a procedure to treat severe aortic stenosis. There are several clinical concerns related to potential complications after the procedure, which demand the analysis of computerized tomography (CT) scans after TAVI to assess the implant's result. This work introduces a novel, fully automatic method for the analysis of post-TAVI 4D-CT scans to characterize the prosthesis and its relationship with the patient's anatomy. The method enables measurement extraction, including prosthesis volume, center of mass, cross-sectional area (CSA) along the prosthesis axis, and CSA difference between the aortic root and prosthesis, all the variables studied throughout the cardiac cycle. The method has been implemented and evaluated with a cohort of 13 patients with five different prosthesis models, successfully extracting all the measurements from each patient in an automatic way. For Allegra patients, the mean of the obtained inner volume values ranged from 10,798.20 mm 3 to 18,172.35 mm 3 , and CSA in the maximum diameter plane varied from 396.35 mm 2 to 485.34 mm 2 . The implantation of this new method could provide information of the important clinical value that would contribute to the improvement of TAVI, significantly reducing the time and effort invested by clinicians in the image interpretation process.
Databáze: MEDLINE
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