TY - JOUR
T1 - Impact of augmented-reality improvement in ablation catheter navigation as assessed by virtual-heart simulations of ventricular tachycardia ablation
AU - Prakosa, Adityo
AU - Southworth, Michael K.
AU - Avari Silva, Jennifer N.
AU - Silva, Jonathan R.
AU - Trayanova, Natalia A.
N1 - Funding Information:
The study was supported by NIH SBIR grant to SentiAR, including a subcontract to Johns Hopkins University (AP), and a grant from the Leducq Foundation (NT).
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/6
Y1 - 2021/6
N2 - Background: Recently, an augmented reality (AR) solution allows the physician to place the ablation catheter at the designated lesion site more accurately during cardiac electrophysiology studies. The improvement in navigation accuracy may positively affect ventricular tachycardia (VT) ablation termination, however assessment of this in the clinic would be difficult. Novel personalized virtual heart technology enables non-invasive identification of optimal lesion targets for infarct-related VT. This study aims to evaluate the potential impact of such catheter navigation accuracy improvement in virtual VT ablations. Methods: 2 MRI-based virtual hearts with 2 in silico induced VTs (VT 1, VT 2) were included. VTs were terminated with virtual “ground truth” endocardial ablation lesions. 106 navigation error values that were previously assessed in a clinical study evaluating the improvement of ablation catheter navigation accuracy guided with AR (53 with, 53 without) were used to displace the “ground truth” ablation targets. The corresponding ablations were simulated based on these errors and VT termination for each simulation was assessed. Results: In 54 VT 1 ablation simulations, smaller error with AR significantly resulted in more VT termination (25) compared to the error without AR (16) (P < 0.01). In 52 VT 2 ablation simulations, no significant difference was observed from error with (11) and without AR (13) (P = 0.58). The substrate characteristic may impact the effect of improved accuracy to an improved VT termination. Conclusion: Virtual heart shows that the increased catheter navigation accuracy provided by AR guidance can affect the VT termination.
AB - Background: Recently, an augmented reality (AR) solution allows the physician to place the ablation catheter at the designated lesion site more accurately during cardiac electrophysiology studies. The improvement in navigation accuracy may positively affect ventricular tachycardia (VT) ablation termination, however assessment of this in the clinic would be difficult. Novel personalized virtual heart technology enables non-invasive identification of optimal lesion targets for infarct-related VT. This study aims to evaluate the potential impact of such catheter navigation accuracy improvement in virtual VT ablations. Methods: 2 MRI-based virtual hearts with 2 in silico induced VTs (VT 1, VT 2) were included. VTs were terminated with virtual “ground truth” endocardial ablation lesions. 106 navigation error values that were previously assessed in a clinical study evaluating the improvement of ablation catheter navigation accuracy guided with AR (53 with, 53 without) were used to displace the “ground truth” ablation targets. The corresponding ablations were simulated based on these errors and VT termination for each simulation was assessed. Results: In 54 VT 1 ablation simulations, smaller error with AR significantly resulted in more VT termination (25) compared to the error without AR (16) (P < 0.01). In 52 VT 2 ablation simulations, no significant difference was observed from error with (11) and without AR (13) (P = 0.58). The substrate characteristic may impact the effect of improved accuracy to an improved VT termination. Conclusion: Virtual heart shows that the increased catheter navigation accuracy provided by AR guidance can affect the VT termination.
KW - Ablation
KW - Augmented reality
KW - Computer simulation
KW - Ventricular tachycardia
UR - http://www.scopus.com/inward/record.url?scp=85103694960&partnerID=8YFLogxK
U2 - 10.1016/j.compbiomed.2021.104366
DO - 10.1016/j.compbiomed.2021.104366
M3 - Article
C2 - 33836448
AN - SCOPUS:85103694960
SN - 0010-4825
VL - 133
JO - Computers in Biology and Medicine
JF - Computers in Biology and Medicine
M1 - 104366
ER -