title: Modeling of transcatheter aortic valve replacement: Patient specific vs general approaches based on finite element analysis.
abstract: BACKGROUND
  There are two main methods used for transcatheter aortic valve replacement (TAVR) FEA modeling for medical devices development: patient specific and general approaches. Advantages and disadvantages of both approaches have never been compared in a single study.
  
  
  METHODS
  Here we propose a bioinformatic algorithm to evaluate the accuracy of patient specific and generalized FEA approaches with regards to proximity configuration of the implanted stent reconstructed by computed tomography. In addition, in this study we also assessed the impact of the level of detail on FEA accuracy in the patient specific approach.
  
  
  RESULTS
  Our results demonstrate that in certain cases, the generalized approach can ensure the same accuracy as the patient specific approach. Therefore, considering high cost effectiveness of the generalized approach, we identify it as more feasible in the context of TAVR. Furthermore, we suggest that high level of detail can improve the reproducibility of modeling results in the patient specific approach.
  
  
  CONCLUSIONS
  Our findings may help medical engineers to better understand the peculiarities of both approaches and therefore make the right decision when choosing a particular approach for computer modeling. Future studies are required to validate our observations.
authors.affiliation: Research Institute for Complex Issues of Cardiovascular Diseases, Sosnovy Blvd. 6, Kemerovo 650002, Russian Federation.
authors.forename: E A
authors.initials: EA
authors.lastname: Ovcharenko
authors.affiliation: Research Institute for Complex Issues of Cardiovascular Diseases, Sosnovy Blvd. 6, Kemerovo 650002, Russian Federation. Electronic address: KlyshnikovK@gmail.com.
authors.forename: K U
authors.initials: KU
authors.lastname: Klyshnikov
authors.affiliation: Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, UK.
authors.forename: A E
authors.initials: AE
authors.lastname: Yuzhalin
authors.affiliation: Department of Biomedical Technologies, Bauman Moscow State Technical University, Baumanskaya 2-ya Str. 5, Moscow 105005, Russian Federation.
authors.forename: G V
authors.initials: GV
authors.lastname: Savrasov
authors.affiliation: Research Institute for Complex Issues of Cardiovascular Diseases, Sosnovy Blvd. 6, Kemerovo 650002, Russian Federation.
authors.forename: A N
authors.initials: AN
authors.lastname: Kokov
authors.affiliation: National Research Tomsk Polytechnic University, Lenina Ave. 30, Tomsk 634050, Russian Federation.
authors.forename: A V
authors.initials: AV
authors.lastname: Batranin
authors.affiliation: Research Institute for Complex Issues of Cardiovascular Diseases, Sosnovy Blvd. 6, Kemerovo 650002, Russian Federation.
authors.forename: V I
authors.initials: VI
authors.lastname: Ganyukov
authors.affiliation: Research Institute for Complex Issues of Cardiovascular Diseases, Sosnovy Blvd. 6, Kemerovo 650002, Russian Federation.
authors.forename: Y A
authors.initials: YA
authors.lastname: Kudryavtseva
mesh_terms: D000465:Algorithms; D020342:Finite Element Analysis; D006801:Humans; D008955:Models, Cardiovascular; D057285:Precision Medicine / Q000379:methods*; D065467:Transcatheter Aortic Valve Replacement
keywords: Aortic root; Calcification; Finite element analysis; Transcatheter heart valves