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International Journal of Bioprinting  Evaluation of advanced visual computing solutions for the left atrial appendage occlusion


            comfortable using it. It can be observed in Table 4 that in   3D  printing  solutions are  complementary, all providing
            most cases, participants chose up to three different LAAO   added value in different steps of the current LAAO clinical
            device sizes, generally (63% of the times) not matching   workflow. All the evaluated technologies passed the
            the implanted one and with some extreme choices (C4 in   threshold of acceptability range on usability; the web-based
            Table  4, with A18 and A25 being selected).        VIDAA platform and 3D printing were better rated, and
                                                               the former getting excellent marks from some participants.
            4. Discussion                                      The VR-based platform (VRIDAA) and in silico simulations
            The fields of visual computing and 3D printing have seen   were placed in the high and low marginal ranges,
            a considerable progress over the last few years, slowly   respectively, but huge discrepancies between participants
            providing solutions for advanced visualization in some   existed in the latter. However, we need to consider that
            biomedical applications.  According  to a  recent  review   previous experience on the technologies could influence
            by Wang , a well-known cardiology leader in the field   the usability score (e.g., P4 and P6 being the only users with
                   [2]
            of LAAO interventions, 3D printing, computational   some knowledge on simulations gave them the best scores).
            modeling, and artificial intelligence (AI) plays a role in   Nonetheless, the main overall conclusions among the
            bridging the dichotomy of real-world in the trenches   participants were the complementarity of the technologies
            imaging and futuristic capabilities of computer science and   and the need for an integrative unique platform of the
            biomedical engineering. Pre-planning complex cardiology   visual computing technologies (i.e., VIDAA, VRIDAA,
            procedures such as LAAO with visual computing and 3D   and fluid simulations) to be incorporated into the clinical
            printing technologies can be beneficial in maximizing   workflow and used on a daily basis. In addition, a more
            interventional efficiency and minimizing costs, which   realistic elastic behavior of the 3D-printed LAAO devices
            are estimated by procedural time and device expenditure.   would increase the precision on the selected settings.
            However, the clinical translation of advanced visualization   One  of  the  most valued  features  in  the  web-based
            technologies is not straightforward, needing to fulfill the   VIDAA platform was the detailed characterization of the
            demanding requirements to be embedded in the existing   LAA anatomy, with the diameters along the centerline,
            workflows in hospitals. For instance, clinicians will not   since it can be used to identify the optimal implantation
            invest more than a few minutes on planning cases that can   or to better plan special strategies such as the sandwich
            take 30 min for the intervention. Moreover, pre-planning   technique. However, the manual selection of seed points
            should not add excessive complexity and cost to the overall   for the centerline was an important factor to properly
            clinical workflow; therefore, sufficient cost-effectiveness   characterize the LAA anatomy and select the appropriate
            or patient safety impact must be proven to justify their   device and its position. In addition, based on the SUS
            routine use.                                       questionnaire, VIDAA was fast and intuitive, which
              Despite recent generic reviews of visual computing   covered  several  manual  steps but with  a  fast  learning
            solutions in cardiology applications [2,4-6] , there is a lack   curve. Participants stressed the added value of the web-
            of complete studies testing the different visualization   based platform in complex cases, proposing to incorporate
            methodologies on the same patient-specific data for   functional information from fluid simulations for a more
            benchmarking  purposes.  To  the  best  of  our  knowledge,   complete solution. The current commercial solutions
            our study is the first attempt on this direction focusing on   comparable to VIDAA are the stand-alone 3mensio
            LAAO interventions, aiming at evaluating the added value,   Structural Heart software (Pie Medical Imaging, Bilthoven,
            limitations, and requirements for the clinical translation   the Netherlands) or Mimics (Materialise NV, Leuven,
            of these technologies. The results obtained in the practical   Belgium), which include MPR visualization, 3D rendering,
            session demonstrated that the tested visual computing and   and 3D surface visualization, and HEARTguideTM

            Table 4. Devices finally selected by the participants

             Case       P1 (I)      P2 (IC)     P3 (IC)       P4 (IC)       P5 (I)      P6 (I)      Implanted
            C1           A22*        A25         A22*          A22*         A28         A22*           A22
            C2           A18         A18          A22          A16*         A22         A18            A16
            C3           A20         A22          A22          A18*         A22         A18*           A18
            C4           A20         W24          A20          A18          A22         A18            A25
            C5           A22         A25*        A25*          A25*         A25*        W20            A25
            W: Watchman flex; A: Amplatzer Amulet. Numbers refer to the device size (in mm). *The cases that matched the size of the device implanted to the
            patient


            Volume 9 Issue 1 (2023)                        269                      https://doi.org/10.18063/ijb.v9i1.640
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